World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
12061
World Ranking
12360
National Ranking
5004

Deepayan Chakrabarti 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 Deepayan Chakrabarti 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Deepayan Chakrabarti 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 Deepayan Chakrabarti 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: 33 D-Index — 13th percentile

13% 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

  • 2009 - ACM Senior Member

Overview

Deepayan Chakrabarti is affiliated with The University of Texas at Austin in the United States. Their research centers around the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Management Science and Operations Research, Finance, and Economics and Econometrics.

The main topics covered in their work include:

  • Complex Network Analysis Techniques
  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Machine Learning and Data Classification
  • Economic theories and models
  • Banking stability, regulation, efficiency
  • Advanced Text Analysis Techniques

Among recent papers authored by Deepayan Chakrabarti are:

  • "Event Summarization Using Tweets", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Parameter-free robust optimization for the maximum-Sharpe portfolio problem", 2021, European Journal of Operational Research
  • "Robust linear classification from limited training data", 2021, Machine Learning

Other notable papers associated with their research include works published in journals and repositories such as the Journal of the American Statistical Association and arXiv (Cornell University).

Deepayan Chakrabarti has collaborated frequently with a number of coauthors including:

  • Purnamrita Sarkar
  • Akhil Jalan
  • Xueyu Mao
  • Kunal Punera
  • Benjamin P. Fauber

The scientist's works have appeared prominently in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Journal of the American Statistical Association
  • European Journal of Operational Research
  • Machine Learning

Deepayan Chakrabarti received the ACM Senior Member award in 2009.

Best Publications

  • R-MAT: A Recursive Model for Graph Mining

    Deepayan Chakrabarti;Yiping Zhan;Christos Faloutsos

  • Epidemic spreading in real networks: an eigenvalue viewpoint

    Yang Wang;D. Chakrabarti;Chenxi Wang;C. Faloutsos

  • Kronecker Graphs: An Approach to Modeling Networks

    Jure Leskovec;Deepayan Chakrabarti;Jon Kleinberg;Christos Faloutsos

  • Epidemic thresholds in real networks

    Deepayan Chakrabarti;Yang Wang;Chenxi Wang;Jurij Leskovec

  • Evolutionary clustering

    Deepayan Chakrabarti;Ravi Kumar;Andrew Tomkins

  • Graph mining: Laws, generators, and algorithms

    Deepayan Chakrabarti;Christos Faloutsos

  • Realistic, mathematically tractable graph generation and evolution, using kronecker multiplication

    Jurij Leskovec;Deepayan Chakrabarti;Jon Kleinberg;Christos Faloutsos

  • Neighborhood formation and anomaly detection in bipartite graphs

    Jimeng Sun;Huiming Qu;D. Chakrabarti;C. Faloutsos

  • Event Summarization Using Tweets

    Deepayan Chakrabarti;Kunal Punera

  • Fully automatic cross-associations

    Deepayan Chakrabarti;Spiros Papadimitriou;Dharmendra S. Modha;Christos Faloutsos

  • Threshold conditions for arbitrary cascade models on arbitrary networks

    B. Aditya Prakash;Deepayan Chakrabarti;Nicholas C. Valler;Michalis Faloutsos

  • Using EM to Learn 3D Models of Indoor Environments with Mobile Robots

    Yufeng Liu;Rosemary Emery;Deepayan Chakrabarti;Wolfram Burgard

  • AutoPart: parameter-free graph partitioning and outlier detection

    Deepayan Chakrabarti

  • A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots.

    Sebastian Thrun;Christian Martin;Yufeng Liu;Dirk Hähnel

  • Multi-armed bandit problems with dependent arms

    Sandeep Pandey;Deepayan Chakrabarti;Deepak Agarwal

  • Contextual advertising by combining relevance with click feedback

    Deepayan Chakrabarti;Deepak Agarwal;Vanja Josifovski

  • Mortal Multi-Armed Bandits

    Deepayan Chakrabarti;Ravi Kumar;Filip Radlinski;Eli Upfal

  • A graph-theoretic approach to webpage segmentation

    Deepayan Chakrabarti;Ravi Kumar;Kunal Punera

  • Theoretical justification of popular link prediction heuristics

    Purnamrita Sarkar;Deepayan Chakrabarti;Andrew W. Moore

  • Bandits for Taxonomies: A Model-based Approach.

    Sandeep Pandey;Deepak Agarwal;Deepayan Chakrabarti;Vanja Josifovski

  • Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks

    B. Aditya Prakash;Deepayan Chakrabarti;Michalis Faloutsos;Nicholas Valler

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Ravi Kumar
Ravi Kumar Google (United States)
Andrew Tomkins
Andrew Tomkins Google (United States)
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Sebastian Thrun
Sebastian Thrun Stanford University
Jure Leskovec
Jure Leskovec Stanford University
Michalis Faloutsos
Michalis Faloutsos University of California, Riverside

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