World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
22944
World Ranking
2055
National Ranking
1040

Robin Burke 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 Robin Burke 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: 215 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Robin Burke 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 Robin Burke 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Robin Burke is affiliated with the University of Colorado Boulder in the United States and conducts research primarily within the field of computer science. Their work concentrates on areas such as information systems, management science and operations research, and artificial intelligence.

The scientist's research spans multiple topics including:

  • Recommender Systems and Techniques
  • Advanced Bandit Algorithms Research
  • Ethics and Social Impacts of AI
  • Mobile Crowdsensing and Crowdsourcing
  • Consumer Market Behavior and Pricing
  • Topic Modeling
  • Decision-Making and Behavioral Economics

Robin Burke has contributed to several scholarly papers published across notable venues. Some recent publications include:

  • "Multistakeholder recommendation: Survey and research directions," 2020, User Modeling and User-Adapted Interaction
  • "Fairness in Information Access Systems," 2022, Foundations and Trends® in Information Retrieval
  • "Adverse childhood experiences (ACEs), cell-mediated immunity, and survival in the context of cancer," 2020, Brain Behavior and Immunity
  • "A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems," 2021, ACM Transactions on Information Systems
  • "The multisided complexity of fairness in recommender systems," 2022, AI Magazine

The venues where Robin Burke frequently publishes work include:

  • arXiv (Cornell University)
  • User Modeling and User-Adapted Interaction
  • ACM Transactions on Recommender Systems
  • Foundations and Trends® in Information Retrieval
  • Brain Behavior and Immunity

Collaborative efforts are evident with frequent co-authors such as:

  • Himan Abdollahpouri
  • Masoud Mansoury
  • Nicholas Mattei
  • Bamshad Mobasher
  • Michael D. Ekstrand

Best Publications

  • Hybrid Recommender Systems: Survey and Experiments

    Robin Burke

  • Hybrid web recommender systems

    Robin Burke

  • Knowledge-based recommender systems

    Robin Burke

  • Personalized recommendation in social tagging systems using hierarchical clustering

    Andriy Shepitsen;Jonathan Gemmell;Bamshad Mobasher;Robin Burke

  • Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System

    Robin D. Burke;Kristian J. Hammond;Vladimir A. Kulyukin;Steven L. Lytinen

  • Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness

    Bamshad Mobasher;Robin Burke;Runa Bhaumik;Chad Williams

  • Web search personalization with ontological user profiles

    Ahu Sieg;Bamshad Mobasher;Robin Burke

  • The FindMe approach to assisted browsing

    R.D. Burke;K.J. Hammond;B.C. Yound

  • Controlling Popularity Bias in Learning-to-Rank Recommendation

    Himan Abdollahpouri;Robin Burke;Bamshad Mobasher

  • Constraint-based recommender systems: technologies and research issues

    A. Felfernig;R. Burke

  • Context-aware music recommendation based on latenttopic sequential patterns

    Negar Hariri;Bamshad Mobasher;Robin Burke

  • Classification features for attack detection in collaborative recommender systems

    Robin Burke;Bamshad Mobasher;Chad Williams;Runa Bhaumik

  • Multistakeholder recommendation: Survey and research directions

    Himan Abdollahpouri;Gediminas Adomavicius;Robin Burke;Ido Guy

  • Integrating Knowledge-based and Collaborative-filtering Recommender Systems

    Robin Burke

  • Knowledge-based navigation of complex information spaces

    Robin D. Burke;Kristian J. Hammond;Benjamin C. Young

  • Recommender Systems: An Overview

    Robin D. Burke;Alexander Felfernig;Mehmet H. Göker

  • Research commentary on recommendations with side information: A survey and research directions

    Zhu Sun;Qing Guo;Jie Yang;Hui Fang

  • Robustness of collaborative recommendation based on association rule mining

    J. J. Sandvig;Bamshad Mobasher;Robin Burke

  • Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering

    Jonathan Gemmell;Andriy Shepitsen;Bamshad Mobasher;Robin Burke

  • Multisided Fairness for Recommendation.

    Robin Burke

  • Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.

    Himan Abdollahpouri;Robin Burke;Bamshad Mobasher

  • The Unfairness of Popularity Bias in Recommendation.

    Himan Abdollahpouri;Masoud Mansoury;Robin Burke;Bamshad Mobasher

  • Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys

    Lawrence D. Bergman;Alexander Tuzhilin;Robin Burke;Alexander Felfernig

Frequent Co-Authors

Bamshad Mobasher
Bamshad Mobasher DePaul University
Kristian J. Hammond
Kristian J. Hammond Northwestern University
Edward C. Malthouse
Edward C. Malthouse Northwestern University
Gediminas Adomavicius
Gediminas Adomavicius University of Minnesota
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology
Alexander Felfernig
Alexander Felfernig Graz University of Technology
Dietmar Jannach
Dietmar Jannach University of Klagenfurt
Yehuda Koren
Yehuda Koren Google (United States)
Mark Dredze
Mark Dredze Johns Hopkins University
Lars Schmidt-Thieme
Lars Schmidt-Thieme University of Hildesheim

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