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Journal Q2: Energy Informatics

Feb 13, 2025 at 11:18 PM

Energy Informaticshttps://www.scimagojr.com/journalsearch.php?q=21101048366&tip=sid&clean=0Indexing servicesThe full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink. We are working closely with Web of Science (Clarivate Analytics) to ensure that articles published in Energy Informatics will be available in their databases when appropriate. The journal is currently indexed in the following databases:SCOPUSEi CompendexDOAJInstitute of Scientific and Technical Information of ChinaNaverProQuestOCLC WorldCat Discovery ServiceEBSCOGoogle Scholar Article processing charges (APC)Authors who publish open access in Energy Informatics are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication.The current APC, subject to VAT or local taxes where applicable, is: £940.00/$1490.00/€1190.00Visit our open access support portal and our Journal Pricing FAQs for further information. Aims and scopeThis journal aims to provide a unique platform for researchers and practitioners of energy informatics in various scientific, technological, engineering and social fields to disseminate original research on the application of digital technology and information management theory and practice to facilitate the global transition towards sustainable and resilient energy systems.The journal publishes essential, peer-reviewed, interdisciplinary research addressing scientific, engineering and business topics related to energy, including but not limited to:Innovation in data-driven energy services and business modelsBig Data-driven smart Energy Management SystemsManagement of data and information flow in the Digital Energy System 4.0Data analytics for energy-cost efficient system operationPrivacy issues in energy data managementDigitalization of energy production, delivery and consumption, including policy and strategyDigital technologies for enabling energy-aware user behaviorContextual computing for supporting human and energy system interactionsEnergy-efficient Cloud Computing and data centersCyber security issues for safe and reliable Smart grid operationSocial media’s role in the transition towards sustainable energyApplication of Artificial Intelligence and Agent-based technology in smart energy systemsModel-based and data-driven energy forecasting, including energy production and useManagement of public and private procurement of digital energy technologySocioeconomic opportunities and barriers for adoption of digital energy technologiesSociotechnical aspects related to design and implementation of smart energy systemsInnovation management in smart energy business eco-systemsDigital entrepreneurship in emerging energy marketsSmart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healingDemand-side management, including demand response, dynamic pricing and incentive designMicrogrid and distributed generation management and controlMonitoring and control of Smart Buildings, including Smart Grid interoperability

2025 10th International Conference on Information and Network Technologies (ICINT 2025)

Jan 6, 2025 at 12:56 AM

Call for PapersVenue: Melbourne, AustraliaFull Paper Submission Deadline: January 25, 2025 (Final Call!!!)Acceptance Notification Date: February 10, 2025Registration Deadline: February 15, 2025Camera-Ready Paper Submission: February 15, 2025Conference Dates: March 12-14, 2025Link: https://www.icint.org/index.htmlSubmitted papers will be strictly reviewed by technical program committee. Accepted papers will be published in ICINT2025 Conference Proceedings, which will be archived in IEEE Xplore, and submitted to be indexed by Ei Compendex and Scopus. The authors of the papers will be invited to participate in ICINT 2025 to share their research results. Publication News:The proceedings of ICINT 2023 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus.The proceedings of ICINT 2022 have been published by CPS and included into IEEE Xplore and indexed by Ei Compendex and Scopus. 2025 10th International Conference on Information and Network Technologies (ICINT 2025) aims to provide a leading international forum for researchers, practitioners, and professionals from the industry, academia and government to share their new ideas, progresses and achievements in information and network technologies and related fields. ICINT 2025 will be held in Melbourne, Australia during March 12-14, 2025, which is co-sponsored by La Trobe University and IEEE; technically-sponsored by University of the Ryukyus.The conference calls for high-quality, original research papers in the theory and practice of information and network technologies. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in information and networking technologies.CONFERENCE SCOPEThe conference provides an international forum for researchers to report their latest innovations, summarize state-of-the-art in the field, as well as exchange ideas, results, and visions in all fields of information and network technology research and applications. The main topics of interest include, but are not limited to:Advanced Computational Science and ApplicationsAdvanced IT Medical EngineeringAdvanced Management Information Systems and ServicesArtificial IntelligenceBio-inspired Computing and ApplicationsComputer Architecture & VLSIAugmented RealityData CommunicationsData mining applicationsDigital Signal and Image ProcessingExpert SystemsInformation SystemsInformation Retrieval Knowledge Data EngineeringInternet and Web ApplicationsSensor TechnologyWireless Communication and Mobile ComputingWireless Sensor NetworksArtificial IntelligenceDatabase & Data MiningComputer Networks & CommunicationsComputer ArchitectureParallel & Distributed SystemsInternet & its ApplicationsMultimedia & Visual ProgrammingHuman Computer InterfaceVirtual Reality SystemsE-CommerceComputer and network SecuritySoftware EngineeringDistance Learning and e-educationSensor Data ProcessingNeural NetworksComputer SimulationNatural Language ProcessingMachine LearningAspect Oriented Software Development AOSDPattern RecognitionInformation Security (Communication Security/NetworkSecurity/Data Security) GIS Technology and Application3D DisplayMedia and Societal InnovationE-EducationCyber Physical Systems

Top 2% Scientists

Dec 25, 2024 at 10:32 PM

World's Top 2% ScientistsLink: https://topresearcherslist.comTopResearchersList.com is an interactive platform that provides access to Stanford University's "World's Top 2% Scientists" list. It allows users to search for and explore detailed profiles of leading researchers across various scientific fields. Scientists included in the list can claim and personalize their profiles using their institutional email addresses, enhancing their online presence and credibility. The website offers powerful search and filtering tools that allow users to easily navigate and explore the vast database of top researchers.About: topresearcherslist.comStanford/Elsevier's Top 2% Scientist RankingsStanford's Top 2% Scientists is an esteemed ranking that identifies the most cited scholars in their fields. This ranking, derived from Scopus database data, highlights researchers whose work has had a significant impact across various scientific disciplines.MethodologyThe ranking is based on a composite indicator (c-score) calculated from six citation metrics:Total citations (NC)H-index (H)Hm-index (H-index adjusted for the number of authors)Citations to single-author papers (NCS)Citations to single or first-author papers (NCSF)Citations to single, first, or last-author papers (NCSFL)The c-score combines these metrics to provide a comprehensive measure of a scientist's impact, accounting for both the quantity and the quality of their contributions.Selection CriteriaTop 100,000 Scientists: Scholars are ranked based on their c-score, including and excluding self-citations. 2% Percentile: Scientists in the top 2% of their sub-field are also included. Field and Sub-field Classification Researchers are categorized into 22 scientific fields and 174 sub-fields based on the standard Science-Metrix classification.Data And UpdatesCareer-long Impact: Metrics cover the entire career of a scientist up to the end of current year-1.Recent Year Impact: Metrics focus on citations received during current year-1.Latest Version: This latest version is based on the Scopus snapshot as of October 1, current year.Transparency and Accessibility: This is a publicly accessible database that includes standardized information on citations, h-index, co-authorship adjusted hm-index, and the c-score. Metrics are available with and without self-citations, and field-specific percentiles are included for all scientists with at least five papers.For more detailed information, visit the ICSR Lab.Stanford University's list of "World's Top 2%" scientists is based on a 2% or above percentile rank, or the top 100,000 by c-score (with and without self-citations). This prestigious list identifies the world's leading researchers, representing approximately 2% of all scientists worldwide. It encompasses standardised data on citations, h-index, and a wide range of bibliometric indicators. Researchers are classified into 22 scientific fields and 174 sub-fields, drawing from Scopus data provided by Elsevier through ICSR Lab.

World Ranking of Top 2% Scientists (2024)

Dec 24, 2024 at 1:12 AM

August 2024 data-update for "Updated science-wide author databases of standardized citation indicators"Published: 16 September 2024|Version 7 |DOI: 10.17632/btchxktzyw.7Contributor: John P.A. IoannidisLink: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added in the most recent iteration. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2023 and single recent year data pertain to citations received during calendar year 2023. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2024 snapshot from Scopus, updated to end of citation year 2023. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2024. If an author is not on the list it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429aMorehttps://www.researchgate.net/publication/384564448_World_Ranking_of_Top_2_Scientists_2024

Publication: Energy, Sustainability and Society

Dec 20, 2024 at 12:09 AM

Energy, Sustainability and SocietyLink: https://energsustainsoc.biomedcentral.comH-Index: 42Publisher: Springer Science + Business MediaISSN: 2192-0567 (electronic)Link: How to publish in this journalhttps://www.scimagojr.com/journalsearch.php?q=21100286318&tip=sid&clean=0Article processing charges (APC)Authors who publish open access in Energy, Sustainability and Society are required to pay an article processing charge (APC). The APC price will be determined from the date on which the article is accepted for publication. The current APC, subject to VAT or local taxes where applicable, is: £1590.00/$2090.00/€1890.00Aims and ScopeThis international peer‐reviewed open access journal offers a forum for discourse on systemic challenges at the intersection of energy, sustainability and society for natural scientists, engineers, social and political scientists and industry experts. It is the particular aim of this journal to publish inter‐ and cross‐disciplinary papers that provide a substantial contribution to the holistic innovation of sustainable energy systems.The scope of the journal encompasses the whole innovation process, ranging from scientific research to both innovative approaches for technology implementation and the analysis of economic, social and environmental impacts of sustainable energy systems. We particularly welcome papers that integrate at least two dimensions of the energy, sustainability and society nexus and contribute to new holistic system solutions for the development of novel future energy. The journal strives to publish early scientific opinions on issues, which are just emerging and require crosscutting and creative thinking.Energy, Sustainability and Society publishes independently peer-reviewed original research papers, review papers, forum articles, book reviews, and short communications. We partner with scientists from the Helmholtz Association and the European Sustainable Energy Innovation Alliance (ESEIA) as the topics of the journal reflect their research field and focus. Read the full aims and scope here.Indexing servicesThe full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by BMC on SpringerLink.We are working closely with relevant indexing services including PubMed Central and Web of Science (Clarivate Analytics) to ensure that articles published in Energy, Sustainability and Society will be available in their databases when appropriate.Energy, Sustainability and Society is currently indexed in the following services:ANVURCNKIChinese Academy of Sciences (CAS) - GoOADOAJDimensionsEBSCO Business SourceEBSCO Discovery ServiceEBSCO Sustainability Reference CenterEI CompendexGaleGeobaseGoogle ScholarINIS AtomindexINSPECInstitute of Scientific and Technical Information of ChinaJournal Citation Reports/Science EditionNaverOCLC WorldCat Discovery ServiceProQuest ABI/INFORMProQuest Advanced Technologies & Aerospace DatabaseProQuest Agricultural & Environmental Science DatabaseProQuest Business Premium CollectionProQuest CentralProQuest Earth, Atmospheric & Aquatic Science DatabaseProQuest EngineeringProQuest Environmental ScienceProQuest Materials Science and Engineering DatabaseProQuest Natural Science CollectionProQuest SciTech Premium CollectionProQuest Social Science CollectionProQuest Sustainability Science AbstractsProQuest Technology CollectionProQuest-ExLibris PrimoProQuest-ExLibris SummonSCImagoSCOPUSScience Citation Index Expanded (SciSearch)TD Net Discovery ServiceUGC-CARE List (India)WTI Frankfurt eG

The 9th International Conference on Information Technology November 12-14, 2025. Phuket, Thailand and Online (Hybrid format)

Dec 2, 2024 at 3:54 PM

The 9th International Conference on Information Technology (InCIT2025)November 12-14, 2025Phuket, ThailandImportant DatesCamera Ready Submission Deadline: 16 May - 15 September 2025Registration: 12 August – 15 September 2025Call for papers: https://incit2025.computing.psu.ac.thContact: incit2025@phuket.psu.ac.thThe topics of interest for the conference papers include, but are not limited to:Agricultural and Industrial InformaticsArtificial Intelligence and Data ScienceBlockchain and Smart ContractCloud and Grid ComputingComputer Educational TechnologyComputer Networks and CommunicationsDatabase and Information RetrievalHealth and Bio InformaticsHealth, Wellness, and Bio informaticsHuman Computer Interaction and Affective ComputingImage Processing and Computer VisionInformation Forensics and SecurityInternet of Things and Embedded SystemsIT Project and IT Service ManagementKnowledge and Data ManagementMachine Learning and Intelligent SystemsMetaverse and Virtual RealityNatural Language ProcessingOntology and Semantic WebPervasive and Mobile ComputingQuantum Computing and AlgorithmsSoftware Engineering and Software DevelopmentSustainable ComputingSubmissionPaper Format:All authors must use the official “IEEE Manuscript Templates for Conference Proceedings”, which can be obtained from the IEEE Manuscript Templates for Conference Proceedings.Submissions must not exceed 8 pages, including all figures, tables, appendices, etc.All submissions must be in PDF format.InCIT 2025 balances the interests of a high quality conference with fairness towards the authors and audience members. Therefore, InCIT 2025 applies this policy, and reserve the right to preclude authors who do not present their paper at the conference from having their papers published in IEEE Xplore.

Assistant Professor

Jun 18, 2024 at 9:45 PM

Application Deadline: 20 Aug 2024 - 14:00 (Europe/Warsaw)Website for additional job detailshttps://al.edu.pl/pracownicy/oferty-pracy/aktualne Offer DescriptionPosition of an assistant professor at the Faculty of Information and Technology Sciences. The area of scientific research is related to technical computer science and telecommunications, teaching classes in the field of computer science, and classes in the field of computer science for first and second cycle studies.Where to applyE-mail: kadry@al.edu.plRequirementsResearch Field: Computer scienceEducation Level: PhD or equivalentSkills/QualificationsMeeting the requirements specified in the Act of July 20, 2018, Law on Higher Education and Science (consolidated text: Journal of Laws of 2023, item 742, as amended).Knowledge of Polish and English languages sufficient to enable conducting teaching classes.At least a PhD in engineering and technical sciences in the discipline of technical computer science and telecommunications.At least 5 years of teaching experience.Significant scientific achievements in the discipline of technical computer science and telecommunications or completed domestic or foreign scientific internships of at least one year.Specific RequirementsExperience in preparing and implementing research and implementation projects.Practical experience gained outside higher education.Teaching experience in broadly understood subjects in computer science, including: database systems, database design, database protection, database techniques, database applications, and/or related ones.Languages: ENGLISHLevel: GoodLanguages: POLISHLevel: GoodResearch Field: Computer scienceEngineeringTechnologyYears of Research Experience: 4 - 10Additional InformationBenefitsProfessional research and teaching development.Research and teaching infrastructure.Participation in grants, projects, programs, e.g., Erasmus+.Eligibility criteriasubmission of all required documentsSelection processApplicationHistory of previous employment (including information on scientific, teaching, organizational, and practical achievements, professional achievements obtained outside higher education)Questionnaire for a person applying for employment containing the information referred to in Art. 22 1 § 1 of the Act of June 26, 1974 Labor Code (i.e., Journal of Laws of 2018, item 917, as amended)Copies of documents confirming education and professional qualificationsCopies of other documents confirming that the candidate meets the competition requirementsA declaration by the candidate stating that in the event of full-time employment, the University of Łomża will be the primary place of workA declaration of consent to the processing of personal data contained in a cover letter, CV, or other attached documents - if this data includes special categories of data referred to in Art. 9 section 1 GDPR or if the data is other than that included in the personal questionnaire and is made available on the applicant's own initiative (Article 22 1a § 1 and § 3 and Art. 22 1b § 1 of the Labor Code)Consenting to the processing of personal data for the purpose of using them in subsequent recruitment processes - if there is a wish to participate in subsequent recruitment processes conducted by the University of Łomża for a period of 12 months from the end of the current recruitment process.The applicant may also submit other documents or provide information that, in his/her opinion, may be useful in deciding the competition.Website for additional job detailshttps://al.edu.pl/pracownicy/oferty-pracy/aktualneWork Location(s)Number of offers available: 1Country: Poland

Faculty Positions for Assistant Professor – Businesss Intelligence and Analytics

Jun 7, 2024 at 10:42 PM

Application deadline: July 4th, 2024Location: Nova Information Management School Universidade Nova de Lisboa Campus de Campolide Lisbon, PortugalLink: https://academicpositions.com/ad/nova-ims/2024/faculty-positions-for-assistant-professor-businesss-intelligence-and-analytics/218536The PositionNOVA Information Management School (NOVA IMS) at Universidade Nova de Lisboa invites for an expression of interest for a position as a Professor (at Assistant/ Associate or Full Professor level) in Business Intelligence and Data Warehouses.The position is to be filled in NOVA IMS’ facilities in Lisbon, Portugal.Salary and conditions are competitive and will be commensurate with qualifications and experience.QualificationsNOVA IMS seeks a candidate with a strong commitment to excellence in scholarly research and teaching. He/ she will be expected to teach in undergraduate as well as graduate programme classes related to Business Intelligence and Databases and one or more of the following areas of expertise:Business IntelligenceDatabase Management SystemData WarehousingData AnalyticsThe successful applicants should have a strong academic background and an international profile in the aforementioned expertise areas with a record of research publications in top-ranked field journals. Moreover, relevant experience in obtaining funding and managing national and international research projects will be considered an advantage.The successful candidate should be able to provide strong and committed leadership in education, including curriculum development, course coordination and educational innovation, the preparation and delivery of lectures, seminars and tutorials, consultation with students, and marking and assessment.The main requirements for applicants are listed below:PhD or doctoral degree from a recognized university;Excellent scientific achievements, documented by internationally recognized publications;Excellent didactic skills;Demonstrate an excellent teaching ability at both the undergraduate and graduate levels;High capacity to develop pedagogical innovations and to manage a programme;Excellent communication skills (oral, written, presentation);Proficient in English (oral and written);Ability to teach in English;Collaborative skills, initiative, result oriented, organization, and capacity to work in an interdisciplinary environment.The SchoolNOVA Information Management School (NOVA IMS, www.novaims.unl.pt) is the School of Information Management and Data Science of Universidade Nova de Lisboa. It is one of the 9 academic units of Universidade NOVA de Lisboa, a university institution with internationally recognized research and quality teaching.It is dedicated to converting data into value, under the motto “Data with Purpose”, through a wide range of activities, namely teaching, and research and development activities that are largely supported by international partnerships, offering a unique research environment to address its main research challenges.The quality of its training is recognized globally, through different national and international accreditations, and outstanding positions achieved in various fields, namely in the Eduniversal ranking (seven of its masters and postgraduate degrees are recognized among the best in the world in their respective areas).NOVA IMS has more than 30 years of accumulated experience in data processing and analysis, which it now puts at the service of digital transformation and the “Big Data” environments in which we live in, namely through a wide range of laboratories (NOVA ANALYTICS LABS powered by NOVA IMS). Today, it has more than 3.000 students from 81 different countries, and high levels of internationalization in all the activities it carries out from Lisbon to the world.How to applyInterested candidates are invited to send the application material listed below by email to rh@novaims.unl.pt (mentioning the reference of the application):A cover letter including motivation to join NOVA IMS;A complete curriculum vitae with a list of publications and a list of classes taught;A copy of the three most significant recent publications, communications or working papers.Reference: NOVAIMS_ BusinessIntelligenceandAnalytics