World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6918
World Ranking
9717
National Ranking
4109

Uwe Kruger 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 Uwe Kruger 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: 150 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.

Uwe Kruger 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 Uwe Kruger 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

Uwe Kruger is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily focuses on the field of Medicine, with notable contributions to Surgery, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental Health, as well as Control and Systems Engineering.

The scientist's work covers several main topics, including Surgical Simulation and Training, Wound Healing and Treatments, Autism Spectrum Disorder Research, Child Nutrition and Feeding Issues, Cardiac, Anesthesia and Surgical Outcomes, Optical Imaging and Spectroscopy Techniques, and Family and Disability Support Research.

Uwe Kruger has published extensively in a number of peer-reviewed venues. Among the most frequent are:

  • Scientific Reports
  • arXiv (Cornell University)
  • Research Square (Research Square)
  • Control Engineering Practice
  • Journal of Personalized Medicine

Their recent publications include:

  • Deep neural networks for the assessment of surgical skills: A systematic review, 2021, The Journal of Defense Modeling and Simulation Applications Methodology Technology
  • Optimized collusion prevention for online exams during social distancing, 2021, npj Science of Learning
  • Functional Brain Imaging Reliably Predicts Bimanual Motor Skill Performance in a Standardized Surgical Task, 2020, IEEE Transactions on Biomedical Engineering
  • Association of AI quantified COVID-19 chest CT and patient outcome, 2021, International Journal of Computer Assisted Radiology and Surgery
  • Real-time Burn Classification using Ultrasound Imaging, 2020, Scientific Reports

Throughout their career, Uwe Kruger has collaborated frequently with several coauthors, including Suvranu De, Pingkun Yan, Jack Norfleet, Xavier Intes, and Juergen Hahn.

Best Publications

  • Deep learning in medical image registration: a survey

    Grant Haskins;Uwe Kruger;Pingkun Yan

  • 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

    Hongming Shan;Yi Zhang;Qingsong Yang;Uwe Kruger

  • Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.

    Hongming Shan;Atul Padole;Fatemeh Homayounieh;Uwe Kruger

  • Process monitoring approach using fast moving window PCA

    Xun Wang;Uwe Kruger;George W. Irwin

  • 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network

    Hongming Shan;Yi Zhang;Qingsong Yang;Uwe Kruger

  • Moving window kernel PCA for adaptive monitoring of nonlinear processes

    Xueqin Liu;Xueqin Liu;Uwe Kruger;Tim Littler;Lei Xie

  • Recursive partial least squares algorithms for monitoring complex industrial processes

    Xun Wang;Uwe Kruger;Barry Lennox

  • Cointegration Testing Method for Monitoring Nonstationary Processes

    Qian Chen;Uwe Kruger;Andrew Y. T. Leung

  • DETECTION OF INCIPIENT TOOTH DEFECT IN HELICAL GEARS USING MULTIVARIATE STATISTICS

    N. Baydar;Q. Chen;A. Ball;U. Kruger

  • Classification and adaptive behavior prediction of children with autism spectrum disorder based upon multivariate data analysis of markers of oxidative stress and DNA methylation

    Daniel P. Howsmon;Uwe Kruger;Stepan Melnyk;S. Jill James

  • Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods

    Hongming Shan;Atul Padole;Fatemeh Homayounieh;Uwe Krüger

  • Statistical‐based monitoring of multivariate non‐Gaussian systems

    Xueqin Liu;Lei Xie;Uwe Kruger;Tim Littler

  • Detecting abnormal situations using the Kullback-Leibler divergence

    Jiusun Zeng;Uwe Kruger;Jaap Geluk;Xun Wang

  • Learning deep similarity metric for 3D MR-TRUS image registration.

    Grant Haskins;Jochen Kruecker;Uwe Kruger;Sheng Xu

  • Nonlinear PCA With the Local Approach for Diesel Engine Fault Detection and Diagnosis

    Xun Wang;U. Kruger;G.W. Irwin;G. McCullough

  • Improved principal component monitoring of large-scale processes

    Uwe Kruger;Yiqi Zhou;Yiqi Zhou;George W Irwin

  • Diagnosis of Process Faults in Chemical Systems Using a Local Partial Least Squares Approach

    Uwe Kruger;Grigorios Dimitriadis

  • Statistical monitoring of complex multivariate processes : with applications in industrial process control

    Uwe Krüger;Lei Xie

  • Learning Deep Similarity Metric for 3D MR-TRUS Registration

    Grant Haskins;Jochen Kruecker;Uwe Kruger;Sheng Xu

  • Improved principal component monitoring using the local approach

    Uwe Kruger;Sukhbinder Kumar;Tim Littler

Frequent Co-Authors

George W. Irwin
George W. Irwin Queen's University Belfast
Juergen Hahn
Juergen Hahn Rensselaer Polytechnic Institute
Suvranu De
Suvranu De Rensselaer Polytechnic Institute
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Xavier Intes
Xavier Intes Rensselaer Polytechnic Institute
David Rooney
David Rooney Queen's University Belfast
James B. Adams
James B. Adams Arizona State University
Richard E. Frye
Richard E. Frye Barrow Neurological Institute
Hongye Su
Hongye Su Zhejiang University

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