World's Best Scientists 2026 revealed!
Gediminas Adomavicius

Gediminas Adomavicius

D-Index & Metrics

Computer Science

D-Index
52
Citations
30649
World Ranking
4941
National Ranking
2295

Gediminas Adomavicius 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 Gediminas Adomavicius 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Gediminas Adomavicius 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 Gediminas Adomavicius 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Gediminas Adomavičius is affiliated with the University of Minnesota in the United States. Their research spans multiple fields including Computer Science and Decision Sciences, with a focus on subfields such as Management Science and Operations Research, Information Systems, Marketing, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work has concentrated on several main topics including Recommender Systems and Techniques, Consumer Market Behavior and Pricing, Advanced Bandit Algorithms Research, Auction Theory and Applications, Decision-Making and Behavioral Economics, Smart Grid Energy Management, and Explainable Artificial Intelligence (XAI).

Frequent publication venues for Gediminas Adomavičius encompass:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Information Systems Research
  • INFORMS journal on computing
  • User Modeling and User-Adapted Interaction

Key recent papers include:

  • "Multistakeholder recommendation: Survey and research directions," 2020, User Modeling and User-Adapted Interaction
  • "Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework," 2020, Information Systems Research
  • "Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness," 2022, INFORMS journal on computing
  • "Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective," 2022, ACM Transactions on Management Information Systems
  • "Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses," 2022, MIS Quarterly

Gediminas Adomavičius has collaborated frequently with several coauthors, including Mochen Yang, Jingjing Zhang, Shawn P. Curley, Xuan Bi, and Robin Burke. The number of joint publications with these coauthors ranges from four to ten.

Best Publications

  • Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

    G. Adomavicius;A. Tuzhilin

  • Context-Aware Recommender Systems

    Gediminas Adomavicius;Bamshad Mobasher;Francesco Ricci;Alexander Tuzhilin

  • Incorporating contextual information in recommender systems using a multidimensional approach

    Gediminas Adomavicius;Ramesh Sankaranarayanan;Shahana Sen;Alexander Tuzhilin

  • Selecting content for a user

    Alexander S. Tuzhilin;Gediminas Adomavicius

  • Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

    G. Adomavicius;YoungOk Kwon

  • New Recommendation Techniques for Multicriteria Rating Systems

    G. Adomavicius;YoungOk Kwon

  • Personalization technologies: a process-oriented perspective

    Gediminas Adomavicius;Alexander Tuzhilin

  • Using data mining methods to build customer profiles

    G. Adomavicius;A. Tuzhilin

  • Multi-Criteria Recommender Systems

    Gediminas Adomavicius;YoungOk Kwon

  • Making sense of technology trends in the information technology landscape: a design science approach

    Gediminas Adomavicius;Jesse C. Bockstedt;Alok Gupta;Robert J. Kauffman

  • Context-aware recommender systems

    Gediminas Adomavicius;Alexander Tuzhilin

  • A Parallel Multilevel Method for Adaptively Refined Cartesian Grids with Embedded Boundaries

    M. J. Aftosmis;M. J. Berger;G. Adomavicius

  • Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects

    Gediminas Adomavicius;Jesse C. Bockstedt;Shawn P. Curley;Jingjing Zhang

  • Multistakeholder recommendation: Survey and research directions

    Himan Abdollahpouri;Gediminas Adomavicius;Robin Burke;Ido Guy

  • Expert-Driven Validation of Rule-Based User Models in Personalization Applications

    Gediminas Adomavicius;Alexander Tuzhilin

  • Understanding User-Generated Content and Customer Engagement on Facebook Business Pages

    Mochen Yang;Yuqing Ren;Gediminas Adomavicius

  • Technology roles and paths of influence in an ecosystem model of technology evolution

    Gediminas Adomavicius;Jesse C. Bockstedt;Alok Gupta;Robert J. Kauffman

  • User profiling in personalization applications through rule discovery and validation

    Gediminas Adomavicius;Alexander Tuzhilin

  • Recommendations with a Purpose

    Dietmar Jannach;Gediminas Adomavicius

  • Impact of data characteristics on recommender systems performance

    Gediminas Adomavicius;Jingjing Zhang

  • CEUR Workshop Proceedings

    Gediminas Adomavicius;Young Ok Kwon

  • Personalization technologies: A process-oriented perspective

    D. Adomavicius;A. Tuzhilin

Frequent Co-Authors

Alexander Tuzhilin
Alexander Tuzhilin New York University
Alok Gupta
Alok Gupta University of Minnesota
Patrick J. O'Connor
Patrick J. O'Connor HealthPartners
Dietmar Jannach
Dietmar Jannach University of Klagenfurt
Bamshad Mobasher
Bamshad Mobasher DePaul University
Joseph A. Konstan
Joseph A. Konstan University of Minnesota
Martin Bichler
Martin Bichler Technical University of Munich
Robin Burke
Robin Burke University of Colorado Boulder
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Robert J. Kauffman
Robert J. Kauffman Singapore Management University

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