World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9434
World Ranking
6465
National Ranking
390

Joemon M. Jose 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 Joemon M. Jose 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 370 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Joemon M. Jose 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 Joemon M. Jose sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Joemon M. Jose is affiliated with the University of Glasgow in the United Kingdom and has a research focus concentrated in the field of Computer Science. Their scholarly work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Signal Processing.

Their research topics encompass Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Topic Modeling, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Emotion and Mood Recognition, and Face and Expression Recognition.

Joemon M. Jose has contributed to a number of recent publications, including:

  • Learning Robust Recommenders through Cross-Model Agreement (2022), Proceedings of the ACM Web Conference 2022
  • Supervised Advantage Actor-Critic for Recommender Systems (2022), Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Cross-modal Semantic Enhanced Interaction for Image-Sentence Retrieval (2023), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 3SHNet: Boosting image-sentence retrieval via visual semantic-spatial self-highlighting (2024), Information Processing & Management
  • Self-Supervised Reinforcement Learning for Recommender Systems (2020), arXiv (Cornell University)

The scholar frequently publishes in venues such as arXiv (Cornell University), ACM Transactions on Intelligent Systems and Technology, Proceedings of the ACM Web Conference, Proceedings of the ACM International Conference on Web Search and Data Mining, and the IEEE/CVF Winter Conference on Applications of Computer Vision.

They collaborate regularly with several coauthors, including Xuri Ge, Ioannis Arapakis, Xin Xin, Alexandros Karatzoglou, and Songpei Xu.

Joemon M. Jose has a book chapter contribution titled "Advances in Information Retrieval" published in 2020 by Springer Science+Business Media.

Best Publications

  • On social networks and collaborative recommendation

    Ioannis Konstas;Vassilios Stathopoulos;Joemon M. Jose

  • A Simple Convolutional Generative Network for Next Item Recommendation

    Fajie Yuan;Alexandros Karatzoglou;Ioannis Arapakis;Joemon M. Jose

  • How users assess web pages for information seeking

    Anastasios Tombros;Ian Ruthven;Joemon M. Jose

  • Building a large-scale corpus for evaluating event detection on twitter

    Andrew J. McMinn;Yashar Moshfeghi;Joemon M. Jose

  • Self-Supervised Reinforcement Learning for Recommender Systems

    Xin Xin;Alexandros Karatzoglou;Ioannis Arapakis;Joemon M. Jose

  • Personalizing web search with folksonomy-based user and document profiles

    David Vallet;Iván Cantador;Joemon M. Jose

  • A task-oriented study on the influencing effects of query-biased summarisation in web searching

    Ryen W. White;Joemon M. Jose;Ian Ruthven

  • Categorising social tags to improve folksonomy-based recommendations

    Iván Cantador;Ioannis Konstas;Joemon M. Jose

  • Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation

    Xin Xin;Xiangnan He;Yongfeng Zhang;Yongdong Zhang

  • Evaluating implicit feedback models using searcher simulations

    Ryen W. White;Ian Ruthven;Joemon M. Jose;C. J. Van Rijsbergen

  • Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes

    Ryen W. White;Ian Ruthven;Joemon M. Jose

  • The Use of Implicit Evidence for Relevance Feedback in Web Retrieval

    Ryen White;Ian Ruthven;Joemon M. Jose

  • A study of factors affecting the utility of implicit relevance feedback

    Ryen W. White;Ian Ruthven;Joemon M. Jose

  • Affective feedback: an investigation into the role of emotions in the information seeking process

    Ioannis Arapakis;Joemon M. Jose;Philip D. Gray

  • User engagement in online News: Under the scope of sentiment, interest, affect, and gaze

    Ioannis Arapakis;Mounia Lalmas;Berkant Barla Cambazoglu;Mari-Carmen Marcos

  • Looking at the viewer: analysing facial activity to detect personal highlights of multimedia contents

    Hideo Joho;Jacopo Staiano;Nicu Sebe;Joemon M. Jose

  • Handling data sparsity in collaborative filtering using emotion and semantic based features

    Yashar Moshfeghi;Benjamin Piwowarski;Joemon M. Jose

  • Text segmentation via topic modeling: an analytical study

    Hemant Misra;François Yvon;Joemon M. Jose;Olivier Cappe

  • Spatial querying for image retrieval: a user-oriented evaluation

    Joemon M. Jose;Jonathan Furner;David J. Harper

  • "Nobody comes here anymore, it's too crowded"; Predicting Image Popularity on Flickr

    Philip J. McParlane;Yashar Moshfeghi;Joemon M. Jose

  • LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates

    Fajie Yuan;Guibing Guo;Joemon M. Jose;Long Chen

Frequent Co-Authors

Ian Ruthven
Ian Ruthven University of Strathclyde
Ryen W. White
Ryen W. White Microsoft (United States)
C. J. van Rijsbergen
C. J. van Rijsbergen University of Glasgow
Xiangnan He
Xiangnan He University of Science and Technology of China
Iván Cantador
Iván Cantador Autonomous University of Madrid
Adam Jatowt
Adam Jatowt University of Innsbruck
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Iadh Ounis
Iadh Ounis University of Glasgow
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)

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