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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
14120
World Ranking
4264
National Ranking
55

Alan Hanjalic 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 Alan Hanjalic 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: 281 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Alan Hanjalic 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 Alan Hanjalic 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2016 - IEEE Fellow For contributions to multimedia information retrieval

Overview

Alan Hanjalic is affiliated with Delft University of Technology in the Netherlands. Their research primarily falls within the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, and Experimental and Cognitive Psychology.

They have contributed extensively to various areas, including Multimodal Machine Learning Applications, Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Recommender Systems and Techniques, Advanced Graph Neural Networks, Advanced Image and Video Retrieval Techniques, and Domain Adaptation and Few-Shot Learning.

Hanjalic's recent published papers include:

  • Accuracy-diversity trade-off in recommender systems via graph convolutions, 2020, Information Processing & Management
  • Radial Graph Convolutional Network for Visual Question Generation, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Unified Binary Generative Adversarial Network for Image Retrieval and Compression, 2020, International Journal of Computer Vision
  • CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors, 2020, Sensors

Frequent co-authors with whom Hanjalic collaborated include:

  • Huijuan Wang
  • Pablo César
  • Xing Xu
  • Heng Tao Shen
  • Elvin Isufi

Hanjalic's work appears frequently in publication venues such as arXiv (Cornell University), Information Processing & Management, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Multimedia, and IEEE Transactions on Neural Networks and Learning Systems.

In 2016, Alan Hanjalic was recognized as an IEEE Fellow for contributions to multimedia information retrieval.

Best Publications

  • Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges

    Yue Shi;Martha Larson;Alan Hanjalic

  • Affective video content representation and modeling

    A. Hanjalic;Li-Qun Xu

  • Shot-boundary detection: unraveled and resolved?

    A. Hanjalic

  • Adversarial Cross-Modal Retrieval

    Bokun Wang;Yang Yang;Xing Xu;Alan Hanjalic

  • An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis

    A. Hanjalic;HongJiang Zhang

  • CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • Proceedings of the 15th ACM international conference on Multimedia

    Rainer Lienhart;Anand R. Prasad;Alan Hanjalic;Sunghyun Choi

  • Automated high-level movie segmentation for advanced video-retrieval systems

    A. Hanjalic;R.L. Lagendijk;J. Biemond

  • List-wise learning to rank with matrix factorization for collaborative filtering

    Yue Shi;Martha Larson;Alan Hanjalic

  • Extracting moods from pictures and sounds: towards truly personalized TV

    A. Hanjalic

  • TFMAP: optimizing MAP for top-n context-aware recommendation

    Yue Shi;Alexandros Karatzoglou;Linas Baltrunas;Martha Larson

  • From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning

    Jingkuan Song;Yuyu Guo;Lianli Gao;Xuelong Li

  • Proceedings of the 22nd ACM international conference on Multimedia

    Kien A. Hua;Yong Rui;Ralf Steinmetz;Alan Hanjalic

  • Video Captioning by Adversarial LSTM

    Yang Yang;Jie Zhou;Jiangbo Ai;Yi Bin

  • A flexible framework for key audio effects detection and auditory context inference

    R. Cai;Lie Lu;A. Hanjalic;Hong-Jiang Zhang

  • Adaptive extraction of highlights from a sport video based on excitement modeling

    A. Hanjalic

  • Cross-Domain Collaborative Filtering with Factorization Machines

    Babak Loni;Yue Shi;Martha Larson;Alan Hanjalic

  • Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

    Jaehun Kim;Stjepan Picek;Annelie Heuser;Shivam Bhasin

  • Bayesian Personalized Ranking with Multi-Channel User Feedback

    Babak Loni;Roberto Pagano;Martha Larson;Alan Hanjalic

  • Pairwise geometric matching for large-scale object retrieval

    Xinchao Li;Martha Larson;Alan Hanjalic

  • Supervised reranking for web image search

    Linjun Yang;Alan Hanjalic

  • Proceedings of the 2016 ACM on Multimedia Conference

    Alan Hanjalic;Cees Snoek;Marcel Worring;Dick Bulterman

Frequent Co-Authors

Martha Larson
Martha Larson Radboud University
Reginald L. Lagendijk
Reginald L. Lagendijk Delft University of Technology
Jan Biemond
Jan Biemond Delft University of Technology
Lie Lu
Lie Lu Dolby (United States)
Linjun Yang
Linjun Yang Microsoft (United States)
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Nicu Sebe
Nicu Sebe University of Trento
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)
Yang Yang
Yang Yang University of Electronic Science and Technology of China
Xian-Sheng Hua
Xian-Sheng Hua Terminus International

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