News & Activities

Call for Applicants in Natural Language Processing & Computational Linguistics - University of A Coruñahttps://euraxess.ec.europa.eu/jobs/hosting/msca-pf-2026-call-applicants-natural-language-processing-computational-linguisticshttps://portalinvestigacion.udc.gal/investigadores/214918/detalle?lang=enHosting InformationOffer Deadline: Tue, 30 Jun 2026 - 17:00EU Research Framework Programme: Horizon Europe - MSCACountry: SpainDr. David Vilares Calvo is seeking researchers who hold a PhD (with no more than 8 years of full-time equivalent research experience) and are interested in pursuing a research project in the framework of the Marie Curie Postdoctoral Fellowships 2026.Research Group SummaryThe Language and Information Society (LyS) research group is an interdisciplinary unit comprising experts in Computational Linguistics, Computer Science, and Artificial Intelligence; located at Universidade da Coruña (Spain). The group has a distinguished track record of publishing in top-tier NLP venues, including ACL, EMNLP, NAACL, EACL, and COLING, as well as leading specialized journals. Over the past decade, LyS has consistently ranked among the top 25 European institutions in Natural Language Processing, according to CSRankings. Furthermore, the group’s international standing is reflected in its membership in the ELLIS Society, currently counting two members within its ranks.Main lines of researchStructured Prediction and Green AI: Converting complex linguistic structures into efficient sequence-labeling tasks to enable deep analysis at a fraction of the traditional computational cost.LLM Probing: Investigating the divergence between human and LLM generation by analyzing incremental capabilities, internal representations, and training dynamics to decode how and when models acquire a given capability.Computational Sociolinguistics: Analyzing how language variation across cultures and digital platforms reflects social identity and influence, applied across a diverse range of computational problems.Biomedical NLP: Developing robust datasets and models for healthcare-related reasoning, with a focus on benchmarking how generative models handle the linguistic and conceptual complexity of the medical domain.Facilities, equipment & support from the group membersAs part of the University of A Coruña (UDC), the group has access to the Galicia Supercomputing Center (CESGA), which provides extensive CPU/GPU clusters and large-scale storage to support high-performance computing requirements. Locally, the project is integrated into the Research Center on Information and Communication Technologies (CITIC), a recognized center of excellence offering specialized facilities, including a shared cluster with 16 NVIDIA A100 GPUs. These regional and institutional resources are complemented by the LyS research group’s private infrastructure.The LyS group is an interdisciplinary research unit with a core NLP team currently composed of four professors, one postdoctoral researcher, and four Ph.D. students. The group maintains dedicated workspaces at both the CITIC research center and the Faculty of Computer Science.Potential research topicThe LyS group welcomes proposals that align with our core research interests, as well as other areas within Natural Language Processing. We are particularly interested in candidates who can demonstrate clear synergy between their own expertise and the group's ongoing research lines, in accordance with the primary objectives of the MSCA fellowships.RequirementsThe ideal candidate will hold a Ph.D. in Natural Language Processing and have a track record of publishing at top-tier venues, such as *ACL conferences or journals like Computational Linguistics, TACL, Language Resources and Evaluation, and Natural Language Engineering.We are looking for someone who can demonstrate significant research autonomy across the entire project lifecycle. This includes the ability to refine research objectives, build computational solutions, and conduct methodologically rigorous evaluations. Additionally, candidates should possess strong academic writing skills to lead the preparation and submission of high-quality manuscripts to leading venues in the field.Expressions of InterestInterested candidates should contact Dr. David Vilares Calvo (david.vilares@udc.es) as soon as possible. Emails should include a CV and a brief motivation letter.

Higher education dataTimes Higher EducationLink: https://www.timeshighereducation.com/world-university-rankings/latest/world-ranking#!/length/25/sort_by/rank/sort_order/asc/cols/scoresExplore the top ranked universities in the worldDiscover the top universities worldwide with the Times Higher Education World University Rankings 2025. This year, we have ranked more than 2,000 institutions from 115 countries and territories.University rankings 2025: key insightsOxford holds on to the top spot for the ninth consecutive year, bolstered by significant improvements in industry engagement and teachingMIT rises to second place, overtaking Stanford, which drops to sixthChina edges closer to the top 10, further boosting its global research influenceAustralia’s top five universities all slip down the rankings, due to declining reputation and international outlookThree new countries join the top 200 - Brazil, Saudi Arabia and the United Arab Emirates - highlighting the rise of emerging markets in higher educationRankingUniversity of OxfordMassachusetts Institute of TechnologyHarvard UniversityPrinceton UniversityUniversity of Cambridge

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.

The most recent edition of the world’s Top 2% scientists, as determined by Stanford University, was unveiled in September 2024. In this compilation, CCDS is proud to have an impressive 38 faculty members included in the single year and career rankings. Prof Ong, C. H. Luke¹Prof Miao, Chunyan²Prof Guan, Cuntai²Prof Lin, Weisi²Prof Cong, Gao²Prof An, Bo²Prof Ong, Yew Soon²Prof Wen, Yonggang²Prof Loy, Chen Change²Prof Rajapakse, Jagath C.¹Prof Lam Kwok Yan²Prof Niyato, Dusit²Prof Liu, Yang²Prof Zhang, Jie²Prof Cambria, Erik²Prof Sun, Chengzheng¹ (retired)A/P Quek, Hiok Chai¹A/P Sun, Aixin²A/P Tan, Rui3A/P Lee, Bu Sung Francis¹A/P Maskell, Douglas L.¹A/P Kong, Wai Kin Adams¹A/P Qian, Kemao²A/P Tan, Chee Wei¹A/P Zhang, Hanwang²A/P Anwitaman, Datta¹A/P Lu, Shijian²A/P Lin, Guosheng²A/P Luo, Jun²A/P Chattopadhyay, Anupam²A/P Liu Weichen3A/P Yu Han3A/P Joty, Shafiq3A/P Hsu, Wen Jing¹ (retired)Asst/P Liu, Ziwei²Asst/P Zhao, Jun²Asst/P Pan, Xingang3Asst/P Lim, Wei Yang Bryan3We extend our heartfelt congratulations to all the distinguished professors who have earned their place in the esteemed top 2% list!Notes: ¹ Career ranking ² Single year and career ranking 3 Single year rankingSource: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7

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

Prof. Dr. Jakrapong KaewkhaoCenter of Excellence in Glass Technology and Materials Science (CEGM) Faculty of Science and Technology, Rajabhat UniversityResearch InterestsNatural ruby enhancement by Pb-free glass filling (Supported by NRCT) Glass Scintillators (Supported by NRCT and KyungPook National University, Korea)Solid State Lighting Materials (Supported by NRCT)More information, please see in GlassLab@NPRU website: http://dept.npru.ac.th/cegm/List of international publicationsList of research instrumentsMy research teamInternational collaborationsGraduate students (Ph.D.)Graduate students (M.Sc.)Center of Excellence in Glass Technology and Materials Science (CEGM)Faculty of Science and Technology, Rajabhat University85 Moo 3, Malaiman Road, Nakhon Pathom Rajabhat University, Thailand, 73000Email : cegm.npru[at]gmail.com Website: http://dept.npru.ac.th/cegm/