World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
20564
World Ranking
3009
National Ranking
141

Richard Bamler 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 Richard Bamler 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: 309 publications — 75th percentile

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

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

Richard Bamler 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 Richard Bamler 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: 61 D-Index — 79th percentile

79% 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

  • 2015 - Fellow of Alfred P. Sloan Foundation
  • 2005 - IEEE Fellow For contributions to synthetic aperture radar interferometry and signal processing.

Overview

Richard Bamler is affiliated with the German Aerospace Center in Germany. Their research primarily lies at the intersection of engineering and computer science, focusing on aerospace engineering and artificial intelligence within these disciplines.

The scientist's work explores several specialized subfields, including control and systems engineering, biomedical engineering, and computational mechanics. Their research topics cover a range of advanced technological techniques and applications, particularly in the area of Synthetic Aperture Radar (SAR).

  • Advanced SAR Imaging Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Fault Detection and Control Systems
  • Microwave Imaging and Scattering Analysis
  • Sparse and Compressive Sensing Techniques

Bamler has co-authored publications with several researchers, including Xiao Xiang Zhu, Yuanyuan Wang, Yilei Shi, Jakob Gawlikowski, and Cedrique Rovile Njieutcheu Tassi. These collaborations reflect a focus on interdisciplinary approaches to complex problems involving machine learning and remote sensing.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Artificial Intelligence Review
  • IEEE Geoscience and Remote Sensing Magazine
  • IEEE Transactions on Geoscience and Remote Sensing
  • elib (German Aerospace Center)

Representative recent papers authored by or associated with their research group are:

  • "A survey of uncertainty in deep neural networks," 2023, Artificial Intelligence Review
  • "Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives," 2021, IEEE Geoscience and Remote Sensing Magazine
  • "A Survey of Uncertainty in Deep Neural Networks," 2021, arXiv (Cornell University)
  • "Single-Look Multi-Master SAR Tomography: An Introduction," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR," 2023, arXiv (Cornell University)

The scientist's contributions have been recognized through several awards, including becoming an IEEE Fellow in 2005 for contributions to synthetic aperture radar interferometry and signal processing, and being named a Fellow of the Alfred P. Sloan Foundation in 2015.

Best Publications

  • Synthetic aperture radar interferometry

    Richard Bamler;Philipp Hartl

  • The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

    Bernhard Rabus;Michael Eineder;Achim Roth;Richard Bamler

  • Precision SAR processing using chirp scaling

    R.K. Raney;H. Runge;R. Bamler;I.G. Cumming

  • A Survey of Uncertainty in Deep Neural Networks.

    Jakob Gawlikowski;Cedrique Rovile Njieutcheu Tassi;Mohsin Ali;Jongseok Lee

  • A comparison of range-Doppler and wavenumber domain SAR focusing algorithms

    R. Bamler

  • Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach

    Xiao Xiang Zhu;Richard Bamler

  • Very High Resolution Spaceborne SAR Tomography in Urban Environment

    Xiao Xiang Zhu;Richard Bamler

  • Phase statistics of interferograms with applications to synthetic aperture radar

    Dieter Just;Richard Bamler

  • Interferometric Processing of Sentinel-1 TOPS Data

    Nestor Yague-Martinez;Pau Prats-Iraola;Fernando Rodriguez Gonzalez;Ramon Brcic

  • A Sparse Image Fusion Algorithm With Application to Pan-Sharpening

    Xiao Xiang Zhu;Richard Bamler

  • Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR

    Xiao Xiang Zhu;Richard Bamler

  • Accuracy of differential shift estimation by correlation and split-bandwidth interferometry for wideband and delta-k SAR systems

    R. Bamler;M. Eineder

  • Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives

    Xiaoxiang Zhu;Sina Montazeri;Mohsin Ali;Yuansheng Hua

  • The Potential of Low-Frequency SAR Systems for Mapping Ionospheric TEC Distributions

    F. Meyer;R. Bamler;N. Jakowski;T. Fritz

  • Doppler frequency estimation and the Cramer-Rao bound

    R. Bamler

  • Toward Operational Compensation of Ionospheric Effects in SAR Interferograms: The Split-Spectrum Method

    Giorgio Gomba;Alessandro Parizzi;Francesco De Zan;Michael Eineder

  • Ray-Tracing Simulation Techniques for Understanding High-Resolution SAR Images

    S. Auer;S. Hinz;R. Bamler

  • Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment

    Xiao Xiang Zhu;R. Bamler

  • Spaceborne Spotlight SAR Interferometry With TerraSAR-X

    M. Eineder;N. Adam;R. Bamler;N. Yague-Martinez

  • Efficient Phase Estimation for Interferogram Stacks

    Homa Ansari;Francesco De Zan;Richard Bamler

  • The SRTM Mission - A World-Wide 30 m Resolution DEM from SAR Interferometry in 11 Days

    Richard Bamler

Frequent Co-Authors

Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Michael Eineder
Michael Eineder German Aerospace Center
Michael Eineder
Michael Eineder Technical University of Munich
Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Alberto Moreira
Alberto Moreira German Aerospace Center
Irena Hajnsek
Irena Hajnsek German Aerospace Center
Peter Reinartz
Peter Reinartz German Aerospace Center
Gerhard Krieger
Gerhard Krieger German Aerospace Center
Gianfranco Fornaro
Gianfranco Fornaro National Research Council (CNR)
Stefan Dech
Stefan Dech German Aerospace Center

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