World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8705
World Ranking
6848
National Ranking
3007

Krishna S. Nayak 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 Krishna S. Nayak 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: 301 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Krishna S. Nayak 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 Krishna S. Nayak 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: 46 D-Index — 53rd percentile

53% 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

  • 2017 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Krishna S. Nayak is affiliated with the University of Southern California in the United States. Their primary field of study is Medicine, with a significant focus on Radiology, Nuclear Medicine and Imaging, along with contributions to Atomic and Molecular Physics, and Optics, Biomedical Engineering, Radiation, and Cardiology and Cardiovascular Medicine.

Their research topics span various areas related to magnetic resonance imaging and medical imaging techniques, including:

  • Advanced MRI Techniques and Applications
  • Atomic and Subatomic Physics Research
  • Medical Imaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Advanced X-ray and CT Imaging
  • MRI in cancer diagnosis
  • Advanced Neuroimaging Techniques and Applications

Krishna S. Nayak has contributed to multiple publication venues. The most frequent among these are:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • Journal of Cardiovascular Magnetic Resonance
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Magnetic Resonance Imaging

Frequent co-authors in their work include Ye Tian, Sophia Cui, Bilal Taşdelen, Yongwan Lim, and Ecrin Yağız.

Recent papers authored or co-authored by Krishna S. Nayak include:

  • Real-Time Magnetic Resonance Imaging (2020), published in Journal of Magnetic Resonance Imaging
  • Velocity-selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation (2022), published in Magnetic Resonance in Medicine
  • Improved Glioma Grading Using Deep Convolutional Neural Networks (2020), published in American Journal of Neuroradiology
  • Fasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk (2024), published in Nature Communications
  • Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain (2023), published in Magnetic Resonance in Medicine

Krishna S. Nayak was awarded the title of Fellow of the Indian National Academy of Engineering (INAE) in 2017.

Best Publications

  • k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI.

    Hong Jung;Kyunghyun Sung;Krishna S. Nayak;Eung Yeop Kim

  • Saturated double-angle method for rapid B1+ mapping.

    Charles H. Cunningham;John M. Pauly;Krishna S. Nayak

  • An approach to real-time magnetic resonance imaging for speech production.

    Shrikanth Narayanan;Krishna Nayak;Sungbok Lee;Abhinav Sethy

  • Myocardial first-pass perfusion cardiovascular magnetic resonance: history, theory, and current state of the art.

    Bernhard L Gerber;Subha V Raman;Krishna Nayak;Frederick H Epstein

  • Cardiovascular magnetic resonance phase contrast imaging

    Krishna S. Nayak;Jon Fredrik Nielsen;Matt A. Bernstein;Michael Markl

  • Comparison of fat-water MRI and single-voxel MRS in the assessment of hepatic and pancreatic fat fractions in humans.

    Houchun H. Hu;Hee-Won Kim;Krishna S. Nayak;Michael I. Goran

  • COMPRESSION AND DECOMPRESSION OF IMAGE DATA BY BLOCK UNIT

    Iourcha Konstantine;Nayak Krishna S;Hong Zhou

  • Real-time magnetic resonance imaging and electromagnetic articulography database for speech production research (TC)

    Shrikanth Narayanan;Asterios Toutios;Vikram Ramanarayanan;Adam Lammert

  • MRI artifacts and correction strategies

    Travis B Smith;Krishna S Nayak

  • Assessment of abdominal adipose tissue and organ fat content by magnetic resonance imaging

    Houchun H. Hu;Krishna S. Nayak;Michael I. Goran

  • Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging [Exploratory DSP]

    E. Bresch;Yoon-Chul Kim;K. Nayak;D. Byrd

  • Synchronized and noise-robust audio recordings during realtime magnetic resonance imaging scans.

    Erik Bresch;Jon Nielsen;Krishna Nayak;Shrikanth Narayanan

  • Fat-suppressed steady-state free precession imaging using phase detection.

    Brian A. Hargreaves;Shreyas S. Vasanawala;Krishna S. Nayak;Bob S. Hu

  • Real‐time color flow MRI

    Krishna S. Nayak;John M. Pauly;Adam B. Kerr;Bob S. Hu

  • Real-time cardiac MRI at 3 tesla

    Krishna S. Nayak;Krishna S. Nayak;Charles H. Cunningham;Juan M. Santos;John M. Pauly

  • MR properties of brown and white adipose tissues.

    Gavin Hamilton;Daniel L. Smith;Mark Bydder;Krishna S. Nayak

  • Recommendations for real-time speech MRI.

    Sajan Goud Lingala;Brad P. Sutton;Marc E. Miquel;Krishna S. Nayak

  • Designing long-T2 suppression pulses for ultrashort echo time imaging.

    Peder E. Z. Larson;Paul T. Gurney;Krishna Nayak;Garry E. Gold

  • Fixed-rate block-based image compression with inferred pixel values

    Konstantine I. Iourcha;Krishna S. Nayak;Zhou Hong

  • Accelerated three-dimensional upper airway MRI using compressed sensing.

    Yoon-Chul Kim;Shrikanth S. Narayanan;Krishna S. Nayak

  • Seeing Speech: Capturing Vocal Tract Shaping Using Real-Time Magnetic Resonance Imaging

    Erik Bresch;Yoon-Chul Kim;Krishna Nayak;Dani Byrd

  • Clinical image quality assessment of accelerated magnetic resonance neuroimaging using compressed sensing.

    Samir D. Sharma;Caroline L. Fong;Brian S. Tzung;Meng Law

  • Differential computed tomographic attenuation of metabolically active and inactive adipose tissues: preliminary findings.

    Houchun Harry Hu;Sandra A. Chung;Krishna S. Nayak;Hollie A. Jackson

  • Wideband SSFP: alternating repetition time balanced steady state free precession with increased band spacing.

    Krishna S. Nayak;Hsu-Lei Lee;Brian A. Hargreaves;Bob S. Hu

Frequent Co-Authors

Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Dwight G. Nishimura
Dwight G. Nishimura Stanford University
John M. Pauly
John M. Pauly Stanford University
Dani Byrd
Dani Byrd University of Southern California
Gerald M. Pohost
Gerald M. Pohost University of Southern California
Michael I. Goran
Michael I. Goran University of Southern California
Louis Goldstein
Louis Goldstein University of Southern California
Justin P. Haldar
Justin P. Haldar University of Southern California
Craig H. Meyer
Craig H. Meyer University of Virginia
John P. Lewis
John P. Lewis Victoria University of Wellington

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