World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
17175
World Ranking
2458
National Ranking
105

Natalia Andrienko 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 Natalia Andrienko 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 302 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Natalia Andrienko 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 Natalia Andrienko sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Natalia Andrienko is affiliated with the Fraunhofer Institute for Intelligent Analysis and Information Systems in Germany. Their research work spans multiple fields and topics within Computer Science and Social Sciences, with a focus on data visualization, analytics, and human mobility.

The main fields of study in which they have published include:

  • Computer Science
  • Social Sciences

Within these broader fields, the scientist has contributed to several subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Transportation
  • Geography, Planning and Development

Their research covers a range of topics, including:

  • Data Visualization and Analytics
  • Human Mobility and Location-Based Analysis
  • Data Management and Algorithms
  • Explainable Artificial Intelligence (XAI)
  • Time Series Analysis and Forecasting
  • Data Analysis with R
  • Geographic Information Systems Studies

Natalia Andrienko has published numerous papers in notable venues, frequently contributing to:

  • Visual Informatics
  • IEEE Computer Graphics and Applications
  • International Journal of Data Science and Analytics
  • Computer Graphics Forum
  • Computers & Graphics

Some recent publications with the year and venue include:

  • "Human migration: the big data perspective," 2020, International Journal of Data Science and Analytics
  • "A theoretical model for pattern discovery in visual analytics," 2020, Visual Informatics
  • "(So) Big Data and the transformation of the city," 2020, International Journal of Data Science and Analytics
  • "Guide Me in Analysis: A Framework for Guidance Designers," 2020, Computer Graphics Forum
  • "Citywide Traffic Analysis Based on the Combination of Visual and Analytic Approaches," 2020, Journal of Geovisualization and Spatial Analysis

The scientist frequently collaborates with several coauthors, including:

  • Gennady Andrienko
  • Siming Chen
  • Yannis Theodoridis
  • Fosca Giannotti
  • Dino Pedreschi

Best Publications

  • Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach

    Natalia Andrienko;Gennady Andrienko

  • Semantic trajectories modeling and analysis

    Christine Parent;Stefano Spaccapietra;Chiara Renso;Gennady Andrienko

  • Exploratory spatio-temporal visualization: an analytical review

    Natalia V. Andrienko;Gennady L. Andrienko;Peter Gatalsky

  • Interactive maps for visual data exploration

    Gennady L. Andrienko;Natalia V. Andrienko

  • Geovisual analytics for spatial decision support: Setting the research agenda

    G. Andrienko;N. Andrienko;P. Jankowski;D. Keim

  • Space, time and visual analytics

    Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch

  • Visual analytics tools for analysis of movement data

    Gennady Andrienko;Natalia Andrienko;Stefan Wrobel

  • Spatial Generalization and Aggregation of Massive Movement Data

    Unknown

  • Visual analytics of movement: an overview of methods, tools and procedures

    Natalia Andrienko;Gennady Andrienko

  • Visual Analytics of Movement

    Gennady Andrienko;Natalia Andrienko;Peter Bak;Daniel Keim

  • Stacking-Based Visualization of Trajectory Attribute Data

    C. Tominski;H. Schumann;G. Andrienko;N. Andrienko

  • Map-centred exploratory approach to multiple criteria spatial decision making

    Piotr Jankowski;Natalia V. Andrienko;Gennady L. Andrienko

  • Spatio-temporal aggregation for visual analysis of movements

    G. Andrienko;N. Andrienko

  • Interactive visual clustering of large collections of trajectories

    Gennady Andrienko;Natalia Andrienko;Salvatore Rinzivillo;Mirco Nanni

  • Visually driven analysis of movement data by progressive clustering

    Salvatore Rinzivillo;Dino Pedreschi;Mirco Nanni;Fosca Giannotti

  • Visual Analytics Methodology for Eye Movement Studies

    G. Andrienko;N. Andrienko;M. Burch;D. Weiskopf

  • Interactive analysis of event data using space-time cube

    P. Gatalsky;N. Andrienko;G. Andrienko

  • MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering

    Tatiana von Landesberger;Felix Brodkorb;Philipp Roskosch;Natalia Andrienko

  • Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research

    Gennady Andrienko;Natalia Andrienko;Jason Dykes;Sara Irina Fabrikant

  • Movement Data Anonymity through Generalization

    Anna Monreale;Gennady Andrienko;Natalia Andrienko;Fosca Giannotti

  • Space and time

    G. Andrienko;N. Andrienko;H. Schumann;C. Tominski

Frequent Co-Authors

Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Stefan Wrobel
Stefan Wrobel University of Bonn
Daniel A. Keim
Daniel A. Keim University of Konstanz
Jason Dykes
Jason Dykes City, University of London
Piotr Jankowski
Piotr Jankowski San Diego State University
Dino Pedreschi
Dino Pedreschi University of Pisa
Heidrun Schumann
Heidrun Schumann University of Rostock
Menno-Jan Kraak
Menno-Jan Kraak University of Twente
Yannis Theodoridis
Yannis Theodoridis University of Piraeus
Nikos Pelekis
Nikos Pelekis University of Piraeus

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