World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5623
World Ranking
13455
National Ranking
5381

Paul Schrater 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 Schrater 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: 188 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Paul Schrater 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 Schrater 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Paul Schrater is affiliated with the University of Minnesota in the United States and specializes in the field of neuroscience, with a focus on cognitive neuroscience. Their research covers several related subfields, including artificial intelligence, molecular biology, pharmacology, and media technology.

Their published research addresses key topics such as neural dynamics and brain function, functional brain connectivity studies, genetics, bioinformatics, biomedical research, neural and behavioral psychology studies, treatment of major depression, experimental learning in engineering, and memory and neural mechanisms.

Schrater has contributed to numerous publications in various scholarly venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PubMed
  • Trends in Cognitive Sciences
  • Biological Psychiatry

Notable papers authored by or associated with Schrater are:

  • "Decoding Depression Severity From Intracranial Neural Activity," 2023, Biological Psychiatry
  • "A How-to-Model Guide for Neuroscience," 2020, eNeuro
  • "Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility," 2021, PubMed
  • "Rational thoughts in neural codes," 2020, Proceedings of the National Academy of Sciences
  • "Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans," 2021, PLoS Computational Biology

Frequent collaborators include Xaq Pitkow, Gunnar Blohm, Konrad P. Körding, Tara van Viegen, and Athena Akrami.

Best Publications

  • Brain Plasticity Through the Life Span: Learning to Learn and Action Video Games

    Daphne Bavelier;C. Shawn Green;Alexandre Pouget;Paul Schrater

  • Shape perception reduces activity in human primary visual cortex

    Scott O. Murray;Daniel Kersten;Bruno A. Olshausen;Paul Schrater

  • Patterns of Activity in the Categorical Representations of Objects

    Thomas A. Carlson;Paul Schrater;Sheng He

  • Spatial contextual classification and prediction models for mining geospatial data

    S. Shekhar;P.R. Schrater;R.R. Vatsavai;Weili Wu

  • Perceptual grouping and the interactions between visual cortical areas

    Scott O. Murray;Paul Schrater;Daniel Kersten

  • Perceptual multistability predicted by search model for Bayesian decisions.

    Rashmi Sundareswara;Paul R Schrater

  • Humans Trade Off Viewing Time and Movement Duration to Improve Visuomotor Accuracy in a Fast Reaching Task

    Peter W. Battaglia;Paul R. Schrater

  • Visual motion and the perception of surface material.

    Katja Doerschner;Roland W. Fleming;Ozgur Yilmaz;Paul R. Schrater

  • "I like to explore sometimes": Adapting to Dynamic User Novelty Preferences

    Komal Kapoor;Vikas Kumar;Loren Terveen;Joseph A. Konstan

  • Optimal Camera Placement for Automated Surveillance Tasks

    Robert Bodor;Andrew Drenner;Paul Schrater;Nikolaos Papanikolopoulos

  • Alterations in choice behavior by manipulations of world model.

    C. S. Green;C. Benson;Daniel J Kersten;Paul R Schrater

  • Proceedings of the National Conference on Artificial Intelligence

    Steven Jensen;Daniel L Boley;Maria L Gini;Paul R Schrater

  • BOLD fMRI and psychophysical measurements of contrast response to broadband images.

    Cheryl A. Olman;Kamil Ugurbil;Paul Schrater;Daniel Kersten

  • Local velocity representation: evidence from motion adaptation.

    Paul R. Schrater;Eero P. Simoncelli

  • Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes

    Wolfgang Ketter;John Collins;Maria Gini;Alok Gupta

  • Just in Time Recommendations: Modeling the Dynamics of Boredom in Activity Streams

    Komal Kapoor;Karthik Subbian;Jaideep Srivastava;Paul Schrater

  • Mechanisms of visual motion detection

    Paul R. Schrater;David C. Knill;Eero P. Simoncelli

  • Detecting and forecasting economic regimes in multi-agent automated exchanges

    Wolfgang Ketter;John Collins;Maria Gini;Alok Gupta

  • How Haptic Size Sensations Improve Distance Perception

    Peter W. Battaglia;Daniel J. Kersten;Paul R. Schrater

  • Effects of visual uncertainty on grasping movements

    Erik J. Schlicht;Paul R. Schrater

  • Impact of coordinate transformation uncertainty on human sensorimotor control.

    Erik J. Schlicht;Paul R. Schrater

  • Perceiving visual expansion without optic flow

    Paul R. Schrater;Paul R. Schrater;David C. Knill;David C. Knill;Eero P. Simoncelli

  • How Optimal Depth Cue Integration Depends on the Task

    Paul R. Schrater;Daniel Kersten

  • The hippocampus and exploration: dynamically evolving behavior and neural representations

    Adam Johnson;Zachary Varberg;James Benhardus;Anthony Maahs

Frequent Co-Authors

Daniel Kersten
Daniel Kersten University of Minnesota
Maria Gini
Maria Gini University of Minnesota
John Collins
John Collins University of Minnesota
Alok Gupta
Alok Gupta University of Minnesota
Nikolaos Papanikolopoulos
Nikolaos Papanikolopoulos University of Minnesota
C. Shawn Green
C. Shawn Green University of Wisconsin–Madison
Peter W. Battaglia
Peter W. Battaglia DeepMind (United Kingdom)
Harini Veeraraghavan
Harini Veeraraghavan Memorial Sloan Kettering Cancer Center
Konrad P. Kording
Konrad P. Kording University of Pennsylvania
Thomas A. Carlson
Thomas A. Carlson University of Sydney

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can open new doors for students interested in computer science. There are many flexible options available, including quick masters degrees online which can be completed in as little as one year. These programs are ideal for professionals aiming to upskill or change careers without a long commitment.

If you are considering a master's, look for masters degrees that are worth it. Computer science, data science, and cybersecurity are just a few fields in high demand that can lead to rewarding careers.

For those seeking a faster entry into tech fields, 1 year associate degree programs online provide a practical starting point. These programs offer essential training and foundational knowledge to launch your technology journey.

Cost is a key factor when choosing a degree. Consider enrolling in the cheapest online college options to maximize your return on investment. Affordable online education makes pursuing a computer science career in the USA more accessible than ever.

Best Scientists Citing Paul Schrater

Trending Scientists

Recently Published Articles