World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8560
World Ranking
7186
National Ranking
49

Georgios Paliouras publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Georgios Paliouras sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 225 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Georgios Paliouras D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Georgios Paliouras sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Georgios Paliouras is affiliated with the National Centre of Scientific Research Demokritos in Greece. Their work spans across multiple disciplines, notably within Computer Science and Biochemistry, Genetics, and Molecular Biology. The primary research focus includes artificial intelligence applications and molecular biology, with specific emphases in several subfields such as Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications, and Information Systems.

Their research integrates topics that cover Biomedical Text Mining and Ontologies, Topic Modeling, Bioinformatics and Genomic Networks, Computational Drug Discovery Methods, Semantic Web and Ontologies, Advanced Graph Neural Networks, and Logic, Reasoning, and Knowledge.

Georgios Paliouras has contributed to various scientific publications. Some of their recent papers include:

  • CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning (2022, Nucleic Acids Research)
  • FiNER: Financial Numeric Entity Recognition for XBRL Tagging (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics - Volume 1: Long Papers)
  • BioASQ-QA: A manually curated corpus for Biomedical Question Answering (2023, Scientific Data)
  • Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities (2022, Journal of Web Semantics)
  • Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records (2022, BMC Medical Informatics and Decision Making)

Their frequent collaborators include Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, Alexander Artikis, and Martin Krallinger, with collaboration counts ranging from 14 to 37 coauthored works.

Georgios has published extensively in notable venues, with the highest number of publications in arXiv (Cornell University), followed by Zenodo (CERN European Organization for Nuclear Research), bioRxiv (Cold Spring Harbor Laboratory), Applied Intelligence, and Machine Learning.

Best Publications

  • Spam Filtering with Naive Bayes - Which Naive Bayes?

    Vangelis Metsis;Ion Androutsopoulos;Georgios Paliouras

  • Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach

    Ion Androutsopoulos;Georgios Paliouras;Vangelis Karkaletsis;Georgios Sakkis

  • Web Usage Mining as a Tool for Personalization: A Survey

    Dimitrios Pierrakos;Georgios Paliouras;Christos Papatheodorou;Constantine D. Spyropoulos

  • An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

    George Tsatsaronis;Georgios Balikas;Prodromos Malakasiotis;Ioannis Partalas

  • A Memory-Based Approach to Anti-Spam Filtering for Mailing Lists

    Georgios Sakkis;Ion Androutsopoulos;Georgios Paliouras;Vangelis Karkaletsis

  • Ontology population and enrichment: state of the art

    Georgios Petasis;Vangelis Karkaletsis;Georgios Paliouras;Anastasia Krithara

  • Stacking classifiers for anti-spam filtering of e-mail

    Georgios Sakkis;Ion Androutsopoulos;Georgios Paliouras;Vangelis Karkaletsis

  • Learning to Filter Unsolicited Commercial E-Mail

    Ion Androutsopoulos;Georgios Paliouras;Eirinaios Michelakis;E. Michelakis

  • Evaluation measures for hierarchical classification: a unified view and novel approaches

    Aris Kosmopoulos;Ioannis Partalas;Eric Gaussier;Georgios Paliouras

  • Machine Learning and Its Applications

    Georgios Paliouras;Vangelis Karkaletsis;Constantine D. Spyropoulos

  • An Event Calculus for Event Recognition

    Alexander Artikis;Marek Sergot;Georgios Paliouras

  • Combining Information Extraction Systems Using Voting and Stacked Generalization

    Georgios Sigletos;Georgios Paliouras;Constantine D. Spyropoulos;Michalis Hatzopoulos

  • Clustering the Users of Large Web Sites into Communities

    Georgios Paliouras;Christos Papatheodorou;Vangelis Karkaletsis;Constantine D. Spyropoulos

  • Using Machine Learning to Maintain Rule-based Named-Entity Recognition and Classification Systems

    Georgios Petasis;Frantz Vichot;Francis Wolinski;Georgios Paliouras

  • Review: logic-based event recognition

    Alexander Artikis;Anastasios Skarlatidis;François Portet;Georgios Paliouras

  • A Probabilistic Logic Programming Event Calculus

    Anastasios Skarlatidis;Alexander Artikis;Jason Filippou;Georgios Paliouras

  • BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.

    George Tsatsaronis;Michael Schroeder;Georgios Paliouras;Yannis Almirantis

  • Exploiting learning techniques for the acquisition of user stereotypes and communities

    Georgios Paliouras;Vangelis Karkaletisis;Christos Papatheodorou;Constantine D. Spyropoulos

  • Incremental learning of event definitions with Inductive Logic Programming

    Nikos Katzouris;Alexander Artikis;Georgios Paliouras

  • Filtron: A Learning-Based Anti-Spam Filter

    Eirinaios Michelakis;Ion Androutsopoulos;Georgios Paliouras;Georgios Sakkis

  • Probabilistic Event Calculus for Event Recognition

    Anastasios Skarlatidis;Georgios Paliouras;Alexander Artikis;George A. Vouros

Frequent Co-Authors

Alexander Artikis
Alexander Artikis University of Piraeus
Ion Androutsopoulos
Ion Androutsopoulos Athens University of Economics and Business
Martin Krallinger
Martin Krallinger Barcelona Supercomputing Center
George Tsatsaronis
George Tsatsaronis Technical University of Berlin
Marek Sergot
Marek Sergot Imperial College London
Grigorios Tsoumakas
Grigorios Tsoumakas Aristotle University of Thessaloniki
Stavros J. Perantonis
Stavros J. Perantonis Demokritos National Centre for Scientific Research
Eric Gaussier
Eric Gaussier Grenoble Alpes University
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Chris Baber
Chris Baber University of Birmingham

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