World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8290
World Ranking
7562
National Ranking
373

Gerard de Melo 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 Gerard de Melo 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.

Gerard de Melo 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 Gerard de Melo 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Gerard de Melo is affiliated with the Hasso Plattner Institute in Germany, where their research primarily focuses on various aspects of Computer Science, with a notable concentration on Artificial Intelligence, Computer Vision and Pattern Recognition, and Information Systems. Their work encompasses related subfields including Management Science and Operations Research as well as Finance.

The scientist's publications cover a broad range of topics in the field, emphasizing areas such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Sentiment Analysis and Opinion Mining
  • Domain Adaptation and Few-Shot Learning
  • Advanced Text Analysis Techniques

Gerard de Melo has contributed to both journal articles and conference proceedings, with a frequent presence in publication venues including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Language Resources and Evaluation
  • ACM SIGWEB Newsletter
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Recent notable papers featuring related research topics include:

  • "Knowledge Graphs" (2021), published in ACM Computing Surveys
  • "Knowledge Graphs" (2021), published in Synthesis Lectures on Data, Semantics and Knowledge
  • "Path Language Modeling over Knowledge Graphs for Explainable Recommendation" (2022), Proceedings of the ACM Web Conference 2022
  • "Large Language Models and Knowledge Graphs: Opportunities and Challenges" (2023), Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation" (2020), Proceedings of the AAAI Conference on Artificial Intelligence

Gerard de Melo has collaborated extensively with several co-authors, including:

  • Michael Cochez
  • Zuohui Fu
  • Eva Blomqvist
  • Claudia d'Amato
  • Claudio Gutiérrez

In addition to journal and conference publications, they have contributed to academic book literature, notably publishing "Knowledge Graphs" with Morgan & Claypool Publishers in 2022.

Best Publications

  • Knowledge Graphs

    Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia d'Amato

  • Relation Classification via Multi-Level Attention CNNs

    Linlin Wang;Zhu Cao;Gerard de Melo;Zhiyuan Liu

  • Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

    Yikun Xian;Zuohui Fu;S. Muthukrishnan;Gerard de Melo

  • YAGO2: exploring and querying world knowledge in time, space, context, and many languages

    Johannes Hoffart;Fabian M. Suchanek;Klaus Berberich;Edwin Lewis-Kelham

  • Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Jiajun Wu

  • Fairness-Aware Explainable Recommendation over Knowledge Graphs

    Zuohui Fu;Yikun Xian;Ruoyuan Gao;Jieyu Zhao

  • Towards a universal wordnet by learning from combined evidence

    Gerard de Melo;Gerhard Weikum

  • WebChild: harvesting and organizing commonsense knowledge from the web

    Niket Tandon;Gerard de Melo;Fabian Suchanek;Gerhard Weikum

  • Knowledge Graphs

    Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia D’amato

  • PACRR: A Position-Aware Neural IR Model for Relevance Matching

    Kai Hui;Andrew Yates;Klaus Berberich;Gerard de Melo

  • Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval

    Kai Hui;Andrew Yates;Klaus Berberich;Gerard de Melo

  • MENTA: inducing multilingual taxonomies from wikipedia

    Gerard de Melo;Gerhard Weikum

  • Multimodal Keyless Attention Fusion for Video Classification

    Xiang Long;Chuang Gan;Gerard de Melo;Xiao Liu

  • OpenWordNet-PT: An Open Brazilian Wordnet for Reasoning

    Valeria de Paiva;Alexandre Rademaker;Gerard de Melo

  • LINDA: distributed web-of-data-scale entity matching

    Christoph Böhm;Gerard de Melo;Felix Naumann;Gerhard Weikum

  • Path Language Modeling over Knowledge Graphsfor Explainable Recommendation

    Unknown

  • WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation

    Niket Tandon;Gerard de Melo;Gerhard Weikum

  • Video Captioning with Multi-Faceted Attention

    Xiang Long;Chuang Gan;Gerard de Melo

  • Commonsense Knowledge in Machine Intelligence

    Niket Tandon;Aparna S. Varde;Gerard de Melo

  • Concepts not alone: exploring pairwise relationships for zero-shot video activity recognition

    Chuang Gan;Ming Lin;Yi Yang;Gerard de Melo

  • CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

    Yikun Xian;Zuohui Fu;Handong Zhao;Yingqiang Ge

Frequent Co-Authors

Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Chuang Gan
Chuang Gan University of Massachusetts Amherst
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey
Zenglin Xu
Zenglin Xu Harbin Institute of Technology
Wen Shilei
Wen Shilei Baidu (China)
Baoquan Chen
Baoquan Chen Peking University
Xiao Liu
Xiao Liu Baidu (China)
Geoff Sutcliffe
Geoff Sutcliffe University of Miami
Jie Zhang
Jie Zhang Nanyang Technological University

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