World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
4656
World Ranking
8997
National Ranking
3818

Arun Krishnan 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 Arun Krishnan 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Arun Krishnan 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 Arun Krishnan 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Arun Krishnan is a researcher affiliated with Microsoft in the United States. Their primary field of study is Medicine, with a significant focus on various subfields including Ophthalmology, Public Health, Environmental and Occupational Health, Neurology, Radiology, Nuclear Medicine and Imaging, and Physiology. This breadth reflects an interdisciplinary approach to medical research.

The main topics covered in Arun Krishnan's work include:

  • Ocular Surface and Contact Lens
  • Glaucoma and retinal disorders
  • Pain Mechanisms and Treatments
  • Botulinum Toxin and Related Neurological Disorders
  • Cancer Treatment and Pharmacology
  • Corneal surgery and disorders
  • Advanced Glycation End Products research

Among the recent papers authored or co-authored by Arun Krishnan are the following:

  • "In-vivo corneal confocal microscopy: Imaging analysis, biological insights and future directions," 2023, published in Communications Biology
  • "Glucagon-like peptide-1 receptor agonists reverse nerve morphological abnormalities in diabetic peripheral neuropathy," 2024, published in Diabetologia
  • "A cross-sectional study of ocular surface discomfort and corneal nerve dysfunction after paclitaxel treatment for cancer," 2021, published in Scientific Reports
  • "Peripheral neuropathy: an important contributor to physical limitation and morbidity in stages 3 and 4 chronic kidney disease," 2021, published in Nephrology Dialysis Transplantation
  • "Tear film and ocular surface neuropeptides: Characteristics, synthesis, signaling and implications for ocular surface and systemic diseases," 2022, published in Experimental Eye Research

The frequent co-authors associated with Arun Krishnan include:

  • Maria Markoulli
  • Ann M. Poynten
  • Tushar Issar
  • Natalie Kwai
  • Roshan Dhanapalaratnam

Common venues for publication include:

  • Clinical Neurophysiology
  • Optometry and Vision Science
  • Clinical and Experimental Optometry
  • European Journal of Neurology
  • Biomedicines

Arun Krishnan's research spans multiple intersecting disciplines, combining aspects of ophthalmology and neurology with public health considerations, which is reflected in their publication record and areas of frequent investigation.

Best Publications

  • Computer aided diagnostic assistance for medical imaging

    Bhavani Duggirala;Diane S. Paine;Dorin Comaniciu;Arun Krishnan

  • An Entropy-based gene selection method for cancer classification using microarray data

    Unknown

  • Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models

    Toshiro Kubota;Anna K. Jerebko;Maneesh Dewan;Marcos Salganicoff

  • Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT

    K. Okada;D. Comaniciu;A. Krishnan

  • Imaging device for displaying volume with high quality by real-time three-dimensional reconstruction, and method therefor

    Ali Bani-Hashemi;Arun Krishnan;James Williams;バニ−ハシェミ アリ

  • System and method for whole body landmark detection, segmentation and change quantification in digital images

    Xiaolei Huang;Xiang Zhou;Anna Jerebko;Arun Krishnan

  • Panoramic image acquisition

    A. Krishnan;N. Ahuja

  • IMAGING DEVICE AND METHOD OF PROVIDING HIGH-QUALITY DISPLAY OF VOLUME BY REAL-TIME THREE-DIMENSIONAL RECONSTRUCTION

    Bani-Hashemi Ali;Krishnan Arun;Williams James

  • Large-scale dynamic gene regulatory network inference combining differential equation models with local dynamic Bayesian network analysis

    Unknown

  • CAD (computer-aided decision) support systems and methods

    Arun Krishnan

  • Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse- to-fine deformable model

    Jun Ma;Le Lu;Yiqiang Zhan;Xiang Zhou

  • SYSTEME ET PROCEDE POUR UNE SEGMENTATION FONDEE SUR LE RENDU DE VOLUME

    Krishnan Arun

  • Systems and Methods for Computer Aided Diagnosis and Decision Support in Whole-Body Imaging

    Alok Gupta;Arun Krishnan;Xiang Sean Zhou

  • Stratified learning of local anatomical context for lung nodules in CT images

    Dijia Wu;Le Lu;Jinbo Bi;Yoshihisa Shinagawa

  • CAD (computer-aided decision) support for medical imaging using machine learning to adapt CAD process with knowledge collected during routine use of CAD system

    Arun Krishnan;Jonathan Stoeckel

  • Range estimation from focus using a non-frontal imaging camera

    Arun Krishnan;Narendra Ahuja

  • Semantics and CBIR: a medical imaging perspective

    Xiang Sean Zhou;Sonja Zillner;Manuel Moeller;Michael Sintek

  • Robust Learning-Based Parsing and Annotation of Medical Radiographs

    Yimo Tao;Zhigang Peng;A Krishnan;Xiang Sean Zhou

  • Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images

    Yiqiang Zhan;Xiang Sean Zhou;Zhigang Peng;Arun Krishnan

  • GridBLAST: a Globus‐based high‐throughput implementation of BLAST in a Grid computing framework

    Unknown

  • Prioritized image visualization from scalable compressed data

    Karthik Krishnan;Michael Wesley Marcellin;Mariappan S. Nadar;Arun Krishnan

  • Automatic Learning of Image Features to Predict Disease

    Arun Krishnan;Xiang Zhou;Martin Huber;Michael Kelm

  • Systems and methods for robust learning based annotation of medical radiographs

    Zhigang Peng;Yimo Tao;Xiang Sean Zhou;Yiqiang Zhan

Frequent Co-Authors

Xiang Sean Zhou
Xiang Sean Zhou Siemens (Germany)
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Visvanathan Ramesh
Visvanathan Ramesh Goethe University Frankfurt
Jinbo Bi
Jinbo Bi University of Connecticut
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
Glenn Fung
Glenn Fung American Family Insurance
Le Lu
Le Lu Alibaba Group (China)
Michael W. Marcellin
Michael W. Marcellin University of Arizona
Jürgen R. Reichenbach
Jürgen R. Reichenbach Friedrich Schiller University Jena

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