World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5584
World Ranking
9852
National Ranking
491

Monika Sester 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 Monika Sester 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: 268 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Monika Sester 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 Monika Sester 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Monika Sester is affiliated with the University of Hannover in Germany. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Transportation, Automotive Engineering, Building and Construction, and Environmental Engineering.

Their recent publications demonstrate a range of topics and practical applications. Notable papers include:

  • "Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving," 2022, IEEE Robotics and Automation Letters
  • "GATraj: A graph- and attention-based multi-agent trajectory prediction model," 2023, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Impact-Based Forecasting for Pluvial Floods," 2021, Earth's Future
  • "Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges," 2022, International Journal of Geographical Information Systems

The scientist has collaborated frequently with several colleagues, including Hao Cheng, Yunshuang Yuan, Claus Brenner, Yu Feng, and Michael Ying Yang. These collaborations reflect consistent engagement with active researchers in related domains.

Monika Sester's research has appeared in various publication venues, notably:

  • arXiv (Cornell University)
  • The international archives of the photogrammetry, remote sensing and spatial information sciences / International archives of the photogrammetry, remote sensing and spatial information sciences
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • AGILE GIScience Series
  • ISPRS Journal of Photogrammetry and Remote Sensing

Their research topics include:

  • Autonomous Vehicle Technology and Safety
  • Remote Sensing and LiDAR Applications
  • Traffic Prediction and Management Techniques
  • 3D Surveying and Cultural Heritage
  • Transportation Planning and Optimization
  • Video Surveillance and Tracking Methods
  • Human Mobility and Location-Based Analysis

Monika Sester's work integrates methodologies from computer vision, geospatial information, and transportation systems to explore challenges related to autonomous driving, environmental hazards, and urban mobility. Their contributions to trajectory prediction, flood mapping, and cooperative vehicle detection demonstrate interdisciplinary approaches combining data science, engineering, and environmental monitoring.

Best Publications

  • Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

    Songnian Li;Suzana Dragicevic;Francesc Antón Castro;Monika Sester

  • Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

    S. Li;S. Dragicevic;F. Anton;M. Sester

  • GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT

    Monika Sester

  • Optimization approaches for generalization and data abstraction

    Monika Sester

  • Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

    Christopher B. Jones;R. Purves;A. Ruas;M. Sanderson

  • A Generative Statistical Approach to Automatic 3D Building Roof Reconstruction from Laser Scanning Data

    Hai Huang;Claus Brenner;Monika Sester

  • Integration of heterogeneous geospatial data in a federated database

    Matthias Butenuth;Guido v. Gösseln;Michael Tiedge;Christian Heipke

  • Area Collapse and Road Centerlines based on Straight Skeletons

    Jan-Henrik Haunert;Monika Sester

  • Integration of GPS traces with road map

    Lijuan Zhang;Frank Thiemann;Monika Sester

  • Information from imagery: ISPRS scientific vision and research agenda

    Jun Chen;Ian Dowman;Songnian Li;Zhilin Li

  • Linking Objects of Different Spatial Data Sets by Integration and Aggregation

    Monika Sester;Karl-Heinrich Anders;Volker Walter

  • Continuous Generalization for Visualization on Small Mobile Devices

    Monika Sester;Claus Brenner

  • Landmark hierarchies in context

    Stephan Winter;Martin Tomko;Birgit Elias;Monika Sester

  • Knowledge acquisition for the automatic interpretation of spatial data

    Monika Sester

  • Visualization in an early stage of the problem-solving process in GIS

    Andreas D. Blaser;Monika Sester;Max J. Egenhofer

  • Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI) by Deep Learning from User Generated Texts and Photos

    Yu Feng;Monika Sester

  • Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving.

    Yunshuang Yuan;Hao Cheng;Monika Sester

  • Learning Cartographic Building Generalization with Deep Convolutional Neural Networks

    Yu Feng;Frank Thiemann;Monika Sester

  • Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey

    Yu Feng;Claus Brenner;Monika Sester

  • Quality assessment of OpenStreetMap data using trajectory mining

    Anahid Basiri;Mike Jackson;Pouria Amirian;Amir Pourabdollah

  • Rainfall estimation using moving cars as rain gauges – laboratory experiments

    Ehsan Rabiei;Uwe Haberlandt;Monika Sester;Daniel Fitzner

  • Pattern recognition in road networks on the example of circular road detection

    Frauke Heinzle;Karl-Heinrich Anders;Monika Sester

Frequent Co-Authors

Stephan Winter
Stephan Winter University of Melbourne
Ouri Wolfson
Ouri Wolfson University of Illinois at Chicago
Robert Weibel
Robert Weibel University of Zurich
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Alfred Stein
Alfred Stein University of Twente
Peter van Oosterom
Peter van Oosterom Delft University of Technology
Christian Heipke
Christian Heipke University of Hannover
Franz Rottensteiner
Franz Rottensteiner University of Hannover
Frank van Harmelen
Frank van Harmelen Vrije Universiteit Amsterdam
Heidi Kreibich
Heidi Kreibich Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

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