World's Best Scientists 2026 revealed!
Pavel Serdyukov

Pavel Serdyukov

D-Index & Metrics

Computer Science

D-Index
31
Citations
3961
World Ranking
13689
National Ranking
4

Pavel Serdyukov 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 Pavel Serdyukov 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Pavel Serdyukov 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 Pavel Serdyukov 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Pavel Serdyukov is a researcher affiliated with Yandex in the Russian Federation. Their work spans interdisciplinary fields primarily within Computer Science and Physics and Astronomy.

The main fields of study covered in their research include:

  • Computer Science
  • Physics and Astronomy

Within these, their subfields of study focus on:

  • Artificial Intelligence
  • Information Systems
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition
  • Geography, Planning and Development

The research topics addressed by Pavel Serdyukov involve:

  • Recommender Systems and Techniques
  • Advanced Image and Video Retrieval Techniques
  • Geographic Information Systems Studies
  • Complex Network Analysis Techniques
  • Opinion Dynamics and Social Influence
  • Spam and Phishing Detection
  • Text and Document Classification Technologies

Serdyukov has contributed to several papers, notably:

  • "Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Predicting the Audience Size of a Tweet," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "METHODS OF OBTAINING INFORMATION ABOUTTHE THREE-DIMENSIONAL SCENE TO SOLVE PROBLEMSOF DETERMINING THE SPATIAL POSITION OF OBJECTSWITH A REGULAR STRUCTURE," 2022, Izvestiâ ÛFU. Tehničeskie nauki

The frequent co-authors who have collaborated with Serdyukov include:

  • Yue Shi
  • Alan Hanjalić
  • Martha Larson
  • Andrey Kupavskii
  • Alexey Umnov

Publication venues that have featured Serdyukov's work multiple times are:

  • Proceedings of the International AAAI Conference on Web and Social Media
  • Izvestiâ ÛFU. Tehničeskie nauki

Best Publications

  • Placing flickr photos on a map

    Pavel Serdyukov;Vanessa Murdock;Roelof van Zwol

  • Overview of the TREC 2010 Entity Track

    Krisztian Balog;Pavel Serdyukov;Arjen P. de Vries

  • Context-Aware Neural Machine Translation Learns Anaphora Resolution

    Elena Voita;Elena Voita;Pavel Serdyukov;Rico Sennrich;Rico Sennrich;Ivan Titov;Ivan Titov

  • Expertise Retrieval

    Krisztian Balog;Yi Fang;Maarten de Rijke;Pavel Serdyukov

  • Prediction of retweet cascade size over time

    Andrey Kupavskii;Liudmila Ostroumova;Alexey Umnov;Svyatoslav Usachev

  • A Neural Click Model for Web Search

    Alexey Borisov;Ilya Markov;Maarten de Rijke;Pavel Serdyukov

  • Overview of the TREC 2009 Entity Track

    Krisztian Balog;Arjen P. de Vries;Pavel Serdyukov;Paul Thomas

  • Modeling multi-step relevance propagation for expert finding

    Pavel Serdyukov;Henning Rode;Djoerd Hiemstra

  • Automatic tagging and geotagging in video collections and communities

    Martha Larson;Mohammad Soleymani;Pavel Serdyukov;Stevan Rudinac

  • Using flickr geotags to predict user travel behaviour

    Maarten Clements;Pavel Serdyukov;Arjen P. de Vries;Marcel J.T. Reinders

  • The where in the tweet

    Wen Li;Pavel Serdyukov;Arjen P. de Vries;Carsten Eickhoff

  • Click model-based information retrieval metrics

    Aleksandr Chuklin;Pavel Serdyukov;Maarten de Rijke

  • Modeling documents as mixtures of persons for expert finding

    Pavel Serdyukov;Djoerd Hiemstra

  • Personalized Landmark Recommendation Based on Geotags from Photo Sharing Sites

    Yue Shi;Pavel Serdyukov;Alan Hanjalic;Martha A. Larson

  • Overview of the TREC 2011 Entity Track.

    Krisztian Balog;Pavel Serdyukov;Arjen P. de Vries

  • Entity ranking using Wikipedia as a pivot

    Rianne Kaptein;Pavel Serdyukov;Arjen De Vries;Jaap Kamps

  • Search for expertise: going beyond direct evidence

    Pavel Serdyukov

  • Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah

    Theodora Tsikrika;Pavel Serdyukov;Henning Rode;Thijs Westerveld

  • Working Notes for the Placing Task at MediaEval 2011

    Adam Rae;Vanessa Murdock;Pavel Serdyukov;Pascal Kelm

  • Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments

    Alexey Poyarkov;Alexey Drutsa;Andrey Khalyavin;Gleb Gusev

  • Web-based Startup Success Prediction

    Boris Sharchilev;Michael Roizner;Andrey Rumyantsev;Denis Ozornin

  • Future User Engagement Prediction and Its Application to Improve the Sensitivity of Online Experiments

    Alexey Drutsa;Gleb Gusev;Pavel Serdyukov

  • User model-based metrics for offline query suggestion evaluation

    Eugene Kharitonov;Craig Macdonald;Pavel Serdyukov;Iadh Ounis

  • An analysis of queries intended to search information for children

    Sergio Duarte Torres;Djoerd Hiemstra;Pavel Serdyukov

  • Finding Influential Training Samples for Gradient Boosted Decision Trees

    Boris Sharchilev;Yury Ustinovsky;Pavel Serdyukov;Maarten de Rijke

Frequent Co-Authors

Djoerd Hiemstra
Djoerd Hiemstra Radboud University
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Arjen P. de Vries
Arjen P. de Vries Radboud University
Craig Macdonald
Craig Macdonald University of Glasgow
Iadh Ounis
Iadh Ounis University of Glasgow
Martha Larson
Martha Larson Radboud University
Krisztian Balog
Krisztian Balog University of Stavanger
Jaap Kamps
Jaap Kamps University of Amsterdam
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Rico Sennrich
Rico Sennrich University of Zurich

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