World's Best Scientists 2026 revealed!
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Computer Science
Qatar
2026

D-Index & Metrics

Computer Science

D-Index
46
Citations
10317
World Ranking
6765
National Ranking
10

Sanjay Chawla 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 Sanjay Chawla 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: 214 publications — 51st percentile

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

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

Sanjay Chawla 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 Sanjay Chawla 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: 46 D-Index — 53rd percentile

53% 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

  • 2026 - Research.com Computer Science in Qatar Leader Award
  • 2025 - Research.com Computer Science in Qatar Leader Award

Overview

Sanjay Chawla is affiliated with the Qatar Computing Research Institute in Qatar. Their academic output is primarily concentrated within the field of Computer Science, with a significant focus on Artificial Intelligence. The subfields of their research also encompass Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics, and Information Systems.

The scientist's recent publication record includes:

  • Interpretable scientific discovery with symbolic regression: a review, 2024, published in Artificial Intelligence Review
  • RoadTagger: Robust Road Attribute Inference with Graph Neural Networks, 2020, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories, 2021, published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations, 2020, published in Data Mining and Knowledge Discovery
  • Protecting Private Attributes in App Based Mobile User Profiling, 2020, published in IEEE Access

The scientist has collaborated frequently with several coauthors:

  • Hüsrev Taha Sencar (7 joint publications)
  • Safa Messaoud (6 joint publications)
  • Songtao He (5 joint publications)
  • Mohammad Reza Alizadeh (5 joint publications)
  • Hari Balakrishnan (5 joint publications)

Publication venues where the scientist has appeared multiple times include arXiv (Cornell University) with 24 publications, Communications of the ACM and Value in Health with 2 publications each, as well as Artificial Intelligence Review and Proceedings of the AAAI Conference on Artificial Intelligence.

Main topics covered by their research consist of:

  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications
  • Generative Adversarial Networks and Image Synthesis
  • Human Mobility and Location-Based Analysis
  • Digital Media Forensic Detection

Best Publications

  • Deep Learning for Anomaly Detection: A Survey.

    Raghavendra Chalapathy;Sanjay Chawla

  • Spatial Databases: A Tour

    Shashi Shekhar;Sanjay Chawla

  • Discovering spatio-temporal causal interactions in traffic data streams

    Wei Liu;Yu Zheng;Sanjay Chawla;Jing Yuan

  • Robust Deep Learning Methods for Anomaly Detection

    Raghavendra Chalapathy;Nguyen Lu Dang Khoa;Sanjay Chawla

  • Spatial databases-accomplishments and research needs

    S. Shekhar;S. Chawla;S. Ravada;A. Fetterer

  • RoadTracer: Automatic Extraction of Road Networks from Aerial Images

    Favyen Bastani;Songtao He;Sofiane Abbar;Mohammad Alizadeh

  • Anomaly Detection using One-Class Neural Networks.

    Raghavendra Chalapathy;Aditya Krishna Menon;Sanjay Chawla

  • k-means--: A Unified Approach to Clustering and Outlier Detection

    Sanjay Chawla;Aristides Gionis

  • Spatial contextual classification and prediction models for mining geospatial data

    S. Shekhar;P.R. Schrater;R.R. Vatsavai;Weili Wu

  • Inferring the Root Cause in Road Traffic Anomalies

    Sanjay Chawla;Yu Zheng;Jiafeng Hu

  • SLOM: a new measure for local spatial outliers

    Sanjay Chawla;Pei Sun

  • Class confidence weighted kNN algorithms for imbalanced data sets

    Wei Liu;Sanjay Chawla

  • A robust decision tree algorithm for imbalanced data sets

    Wei Liu;Sanjay Chawla;David A. Cieslak;Nitesh V. Chawla

  • On detection of emerging anomalous traffic patterns using GPS data

    Linsey Xiaolin Pang;Sanjay Chawla;Wei Liu;Yu Zheng

  • Mining for outliers in sequential databases

    Pei Sun;Sanjay Chawla;Bavani Arunasalam

  • Efficient Thompson sampling for online matrix-factorization recommendation

    Jaya Kawale;Hung Bui;Branislav Kveton;Long Tran Thanh

  • On local spatial outliers

    Pei Sun;S. Chawla

  • Robust, Deep and Inductive Anomaly Detection

    Raghavendra Chalapathy;Aditya Krishna Menon;Sanjay Chawla

  • SparseDTW: a novel approach to speed up dynamic time warping

    Ghazi Al-Naymat;Sanjay Chawla;Javid Taheri

  • Mining spatio-temporal association rules, sources, sinks, stationary regions and thoroughfares in object mobility databases

    Florian Verhein;Sanjay Chawla

Frequent Co-Authors

Shashi Shekhar
Shashi Shekhar University of Minnesota
Wei Liu
Wei Liu University of Technology Sydney
Aristides Gionis
Aristides Gionis Royal Institute of Technology
Chang-Tien Lu
Chang-Tien Lu Virginia Tech
Weili Wu
Weili Wu The University of Texas at Dallas
Ahmed K. Elmagarmid
Ahmed K. Elmagarmid Qatar Computing Research Institute
Aditya Krishna Menon
Aditya Krishna Menon Google (United States)
Joachim Gudmundsson
Joachim Gudmundsson University of Sydney
Felix Naumann
Felix Naumann Hasso Plattner Institute
Yu Zheng
Yu Zheng Jingdong (China)

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