World's Best Scientists 2026 revealed!
Alexander Tuzhilin

Alexander Tuzhilin

D-Index & Metrics

Computer Science

D-Index
58
Citations
32334
World Ranking
3521
National Ranking
1695

Alexander Tuzhilin 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 Alexander Tuzhilin 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Alexander Tuzhilin 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 Alexander Tuzhilin 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Alexander Tuzhilin is affiliated with New York University in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Management Science and Operations Research, Marketing, and Mechanical Engineering.

Their work covers topics including Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Consumer Market Behavior and Pricing, Sentiment Analysis and Opinion Mining, Data Stream Mining Techniques, Human Mobility and Location-Based Analysis, and Topic Modeling.

Alexander Tuzhilin's frequent publication venues include arXiv (Cornell University), SSRN Electronic Journal, IEEE Transactions on Knowledge and Data Engineering, Information Systems Research, and Russian Metallurgy (Metally).

Recent papers authored include:

  • Context-Aware Recommendations Based on Deep Learning Frameworks (2020), ACM Transactions on Management Information Systems
  • Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations (2021), IEEE Transactions on Knowledge and Data Engineering
  • Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes (2021), Information Systems Research
  • Hierarchical Latent Context Representation for Context-Aware Recommendations (2020), IEEE Transactions on Knowledge and Data Engineering
  • CoLES: Contrastive Learning for Event Sequences with Self-Supervision (2022), Proceedings of the 2022 International Conference on Management of Data

Frequent co-authors of their research are:

  • Moshe Unger
  • Pan Li
  • Konstantin Bauman
  • Brian Brost

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

  • What makes patterns interesting in knowledge discovery systems

    A. Silberschatz;A. Tuzhilin

  • On subjective measures of interestingness in knowledge discovery

    Avi Silberschatz;Alexander Tuzhilin

  • The long tail of recommender systems and how to leverage it

    Yoon-Joo Park;Alexander Tuzhilin

  • Personalization technologies: a process-oriented perspective

    Gediminas Adomavicius;Alexander Tuzhilin

  • Using data mining methods to build customer profiles

    G. Adomavicius;A. Tuzhilin

  • An energy-efficient mobile recommender system

    Yong Ge;Hui Xiong;Alexander Tuzhilin;Keli Xiao

  • On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected

    Panagiotis Adamopoulos;Alexander Tuzhilin

  • Context-aware recommender systems

    Gediminas Adomavicius;Alexander Tuzhilin

  • Introduction to special section on intelligent mobile knowledge discovery and management systems

    Hui Xiong;Shashi Shekhar;Alexander Tuzhilin

  • Unexpectedness as a measure of interestingness in knowledge discovery

    Balaji Padmanabhan;Alexander Tuzhilin

  • Using Context to Improve Predictive Modeling of Customers in Personalization Applications

    C. Palmisano;A. Tuzhilin;M. Gorgoglione

  • Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems

    Umberto Panniello;Alexander Tuzhilin;Michele Gorgoglione;Cosimo Palmisano

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

    Gediminas Adomavicius;Alexander Tuzhilin

  • DDTCDR: Deep Dual Transfer Cross Domain Recommendation

    Pan Li;Alexander Tuzhilin

  • User profiling in personalization applications through rule discovery and validation

    Gediminas Adomavicius;Alexander Tuzhilin

  • Recommender systems — beyond matrix completion

    Dietmar Jannach;Paul Resnick;Alexander Tuzhilin;Markus Zanker

  • Towards the Next Generation of Recommender Systems

    Alexander Tuzhilin

  • Personalization technologies: A process-oriented perspective

    D. Adomavicius;A. Tuzhilin

Frequent Co-Authors

Gediminas Adomavicius
Gediminas Adomavicius University of Minnesota
Bamshad Mobasher
Bamshad Mobasher DePaul University
Bing Liu
Bing Liu University of Illinois at Chicago
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Yong Ge
Yong Ge University of Arizona
Rong Zheng
Rong Zheng McMaster University
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Djoerd Hiemstra
Djoerd Hiemstra Radboud University
Jaap Kamps
Jaap Kamps University of Amsterdam
Jonathan Gratch
Jonathan Gratch University of Southern California

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