World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
10171
World Ranking
5618
National Ranking
2565

Paul Sajda 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 Paul Sajda 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Paul Sajda 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 Paul Sajda 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: 50 D-Index — 62nd percentile

62% 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

  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Paul Sajda is affiliated with Columbia University in the United States. Their research primarily focuses on the field of neuroscience with a significant emphasis on cognitive neuroscience as well as subfields such as neurology, radiology, nuclear medicine and imaging, social psychology, and human-computer interaction.

Their work covers a range of main topics including:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Transcranial Magnetic Stimulation Studies
  • Neural and Behavioral Psychology Studies
  • Advanced MRI Techniques and Applications
  • Gaze Tracking and Assistive Technology

Paul Sajda has published extensively, with frequent appearances in venues such as:

  • Brain stimulation
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition
  • Scientific Reports

Some recent papers include:

  • "International Brain Initiative: An Innovative Framework for Coordinated Global Brain Research Efforts" (2020, Neuron)
  • "Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images" (2020, IEEE Transactions on Biomedical Engineering)
  • "Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults" (2022, Brain stimulation)
  • "A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers" (2022, Scientific Reports)
  • "Inferring Macroscale Brain Dynamics via Fusion of Simultaneous EEG-fMRI" (2021, Annual Review of Neuroscience)

Their research collaborations include frequent co-authorships with:

  • Xiaoxiao Sun
  • Josef Faller
  • Jayce Doose
  • Robin I. Goldman
  • Mark S. George

Paul Sajda has been recognized by professional organizations, having received the title of Fellow of the American Association for the Advancement of Science (AAAS) in 2016 and Fellow of the Indian National Academy of Engineering (INAE) in 2009.

Best Publications

  • Recipes for the linear analysis of EEG.

    Lucas C. Parra;Clay D. Spence;Adam D. Gerson;Paul Sajda

  • Neural representation of task difficulty and decision making during perceptual categorization: a timing diagram.

    Marios G. Philiastides;Roger Ratcliff;Paul Sajda

  • Machine Learning for Detection and Diagnosis of Disease

    Paul Sajda

  • Temporal Characterization of the Neural Correlates of Perceptual Decision Making in the Human Brain

    Marios G. Philiastides;Paul Sajda

  • Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG

    Roger Ratcliff;Marios G. Philiastides;Paul Sajda

  • Cortically coupled computer vision for rapid image search

    A.D. Gerson;L.C. Parra;P. Sajda

  • Blind source separation via generalized eigenvalue decomposition

    Lucas Parra;Paul Sajda

  • EEG-Informed fMRI Reveals Spatiotemporal Characteristics of Perceptual Decision Making

    Marios G. Philiastides;Paul Sajda

  • Linear Spatial Integration for Single-Trial Detection in Encephalography

    Lucas C. Parra;Christopher V. Alvino;Akaysha C. Tang;Barak A. Pearlmutter

  • Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

    Nicholas Waytowich;Vernon J Lawhern;Javier O Garcia;Javier O Garcia;Jennifer Cummings

  • Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain

    P. Sajda;S. Du;T.R. Brown;R. Stoyanova

  • Quantification of the Roles of Trabecular Microarchitecture and Trabecular Type in Determining the Elastic Modulus of Human Trabecular Bone

    Xiaowei S Liu;Paul Sajda;Punam K Saha;Felix W Wehrli

  • Response error correction-a demonstration of improved human-machine performance using real-time EEG monitoring

    L.C. Parra;C.D. Spence;A.D. Gerson;P. Sajda

  • Unmixing Hyperspectral Data

    Lucas C. Parra;Clay Spence;Paul Sajda;Andreas Ziehe

  • A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces

    P. Sajda;A. Gerson;K.-R. Muller;B. Blankertz

  • In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision

    P. Sajda;E. Pohlmeyer;Jun Wang;L.C. Parra

  • Detection, synthesis and compression in mammographic image analysis with a hierarchical image probability model

    C. Spence;L. Parra;P. Sajda

  • Spatiotemporal Linear Decoding of Brain State

    L.C. Parra;C. Christoforou;A.D. Gerson;M. Dyrholm

  • Intermediate-level visual representations and the construction of surface perception

    Paul Sajda;Leif H. Finkel

  • Cortical origins of response time variability during rapid discrimination of visual objects.

    Adam D. Gerson;Lucas C. Parra;Paul Sajda

  • Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task.

    Josef Faller;Jennifer Cummings;Sameer Saproo;Paul Sajda

Frequent Co-Authors

Lucas C. Parra
Lucas C. Parra City College of New York
Truman R. Brown
Truman R. Brown Medical University of South Carolina
Jean M. Vettel
Jean M. Vettel United States Army Research Laboratory
Christine A. Curcio
Christine A. Curcio University of Alabama at Birmingham
Shih-Fu Chang
Shih-Fu Chang Columbia University
Donald C. Hood
Donald C. Hood Columbia University
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
George A. Bonanno
George A. Bonanno Columbia University
Hauke R. Heekeren
Hauke R. Heekeren Universität Hamburg
Kevin N. Ochsner
Kevin N. Ochsner Columbia University

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