World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
13563
World Ranking
6339
National Ranking
296

Mihai Datcu 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 Mihai Datcu 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: 763 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Mihai Datcu 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 Mihai Datcu 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to information mining of high resolution synthetic aperature radar and optical earth observation images

Overview

Mihai Datcu is affiliated with the German Aerospace Center in Germany. Their research primarily focuses on engineering and computer science, with significant contributions to aerospace engineering and computer vision and pattern recognition.

The scientist's work spans several subfields, including media technology, artificial intelligence, and oceanography. Their main topics of research cover remote-sensing image classification, advanced SAR imaging techniques, and synthetic aperture radar (SAR) applications and techniques. Additional areas of expertise include advanced image and video retrieval techniques, image retrieval and classification techniques, underwater acoustics research, and sparse and compressive sensing techniques.

Mihai Datcu has co-authored scholarly works with multiple frequent collaborators, including:

  • Andrei Anghel
  • Corneliu Octavian Dumitru
  • Gottfried Schwarz
  • Muhammad Amjad Iqbal
  • Reza Mohammadi Asiyabi

Their recent publications present developments in synthetic aperture radar and explainable artificial intelligence. Some of the notable papers include:

  • "Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning" (2020, IEEE Geoscience and Remote Sensing Letters)
  • "Deep SAR-Net: Learning objects from signals" (2020, ISPRS Journal of Photogrammetry and Remote Sensing)
  • "Physically explainable CNN for SAR image classification" (2022, ISPRS Journal of Photogrammetry and Remote Sensing)
  • "CMIR-NET: A deep learning based model for cross-modal retrieval in remote sensing" (2020, Pattern Recognition Letters)
  • "Explainable, Physics-Aware, Trustworthy Artificial Intelligence: A paradigm shift for synthetic aperture radar" (2023, IEEE Geoscience and Remote Sensing Magazine)

The venues where Mihai Datcu has frequently published include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Transactions on Geoscience and Remote Sensing

In recognition of their contributions, Mihai Datcu was named an IEEE Fellow in 2013 for work related to information mining of high-resolution synthetic aperture radar and optical earth observation images.

Best Publications

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks

    Dimitrios Marmanis;Mihai Datcu;Thomas Esch;Uwe Stilla

  • Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection

    Dimitrios Marmanis;Dimitrios Marmanis;Konrad Schindler;Jan Dirk Wegner;Silvano Galliani

  • Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

    Jian Ding;Nan Xue;Gui-Song Xia;Xiang Bai

  • SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS

    Dimitrios Marmanis;Dimitrios Marmanis;Jan D. Wegner;Silvano Galliani;Konrad Schindler

  • Information mining in remote sensing image archives: system concepts

    M. Datcu;H. Daschiel;A. Pelizzari;M. Quartulli

  • Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation

    M. Lienou;H. Maitre;M. Datcu

  • Model-based despeckling and information extraction from SAR images

    Marc Walessa;Mihai Datcu

  • Spatial information retrieval from remote-sensing images. I. Information theoretical perspective

    M. Datcu;K. Seidel;M. Walessa

  • Interactive learning and probabilistic retrieval in remote sensing image archives

    M. Schroder;H. Rehrauer;K. Seidel;M. Datcu

  • Spatial information retrieval from remote-sensing images. II. Gibbs-Markov random fields

    M. Schroder;H. Rehrauer;K. Seidel;M. Datcu

  • Road detection in dense urban areas using SAR imagery and the usefulness of multiple views

    F. Tupin;B. Houshmand;M. Datcu

  • Bayesian approaches to phase unwrapping: theoretical study

    G. Nico;G. Palubinskas;M. Datcu

  • Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation

    Xin-Yi Tong;Gui-Song Xia;Fan Hu;Yanfei Zhong

  • Stochastic geometrical modeling for built-up area understanding from a single SAR intensity image with meter resolution

    M. Quartulli;M. Datcu

  • Human-centered concepts for exploration and understanding of Earth observation images

    M. Datcu;K. Seidel

  • Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning

    Zhongling Huang;Corneliu Octavian Dumitru;Zongxu Pan;Bin Lei

  • Deep SAR-Net: Learning objects from signals

    Zhongling Huang;Mihai Datcu;Zongxu Pan;Bin Lei

  • Bridging the Semantic Gap for Satellite Image Annotation and Automatic Mapping Applications

    D Bratasanu;I Nedelcu;M Datcu

  • Earth-Observation Image Retrieval Based on Content, Semantics, and Metadata

    Daniela Espinoza-Molina;Mihai Datcu

  • Information Content of Very High Resolution SAR Images: Study of Feature Extraction and Imaging Parameters

    Corneliu Octavian Dumitru;Mihai Datcu

Frequent Co-Authors

Gerhard Rigoll
Gerhard Rigoll Technical University of Munich
Gui-Song Xia
Gui-Song Xia Wuhan University
Liangpei Zhang
Liangpei Zhang Wuhan University
Manolis Koubarakis
Manolis Koubarakis National and Kapodistrian University of Athens
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Marcello Pelillo
Marcello Pelillo Ca Foscari University of Venice
Uwe Stilla
Uwe Stilla Technical University of Munich
Jiebo Luo
Jiebo Luo University of Rochester
Serge Belongie
Serge Belongie University of Copenhagen

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