World's Best Scientists 2026 revealed!
John W. Fisher

John W. Fisher

D-Index & Metrics

Computer Science

D-Index
46
Citations
9261
World Ranking
6820
National Ranking
2998

John W. Fisher 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 John W. Fisher 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: 194 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

John W. Fisher 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 John W. Fisher 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.

Overview

John W. Fisher is affiliated with MIT in the United States and has contributed extensively to the fields of Computer Science, particularly focusing on Artificial Intelligence and its applications. Their research spans several subfields including Materials Chemistry, Molecular Biology, Ocean Engineering, and Electrical and Electronic Engineering.

The scientist's work encompasses a range of topics centered around machine learning and its integration with domain-specific problems. Key areas include Machine Learning in Materials Science, Machine Learning and Algorithms, Machine Learning and Data Classification, Bone Metabolism and Diseases, Osteoarthritis Treatment and Mechanisms, AI-based Problem Solving and Planning, as well as Underwater Vehicles and Communication Systems.

John W. Fisher has coauthored multiple publications with collaborators such as Tonio Buonassisi, Zekun Ren, Shijing Sun, Armi Tiihonen, and Kedar Hippalgaonkar. These collaborations have contributed to a variety of scholarly outputs across different venues.

Publication venues frequently associated with their work include:

  • arXiv (Cornell University)
  • npj Computational Materials
  • Matter
  • Nature Reviews Materials
  • Bioorganic & Medicinal Chemistry Letters

Significant recent papers by John W. Fisher include:

  • "Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains," 2021, npj Computational Materials
  • "A data fusion approach to optimize compositional stability of halide perovskites," 2021, Matter
  • "Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics," 2023, Nature Reviews Materials
  • "Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains," 2021, arXiv (Cornell University)
  • "Lead optimization of cathepsin K inhibitors for the treatment of Osteoarthritis," 2022, Bioorganic & Medicinal Chemistry Letters

In addition to journal publications, Fisher has a book publication with Oxford University Press titled John Fisher's Court Sermons: Preaching for Lady Margaret, 1507-1509, published in 2021.

Best Publications

  • Nonparametric belief propagation for self-localization of sensor networks

    A.T. Ihler;J.W. Fisher;R.L. Moses;A.S. Willsky

  • A nonparametric statistical method for image segmentation using information theory and curve evolution

    Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

  • Loopy Belief Propagation: Convergence and Effects of Message Errors

    Alexander T. Ihler;John W. Fischer;Alan S. Willsky

  • Face Recognition from Long-Term Observations

    Gregory Shakhnarovich;John W. Fisher;Trevor Darrell

  • Face recognition with image sets using manifold density divergence

    O. Arandjelovic;G. Shakhnarovich;J. Fisher;R. Cipolla

  • ICA using spacings estimates of entropy

    Erik G. Learned-Miller;John W. Fisher

  • A Bayesian model for joint segmentation and registration

    Kilian M. Pohl;John W. Fisher;W. Eric L. Grimson;Ron Kikinis

  • A Video Representation Using Temporal Superpixels

    Jason Chang;Donglai Wei;John W. Fisher

  • Learning Joint Statistical Models for Audio-Visual Fusion and Segregation

    John W Fisher Iii;Trevor Darrell;William T. Freeman;Paul A. Viola

  • Distributed fusion in sensor networks

    M. Cetin;Lei Chen;J.W. Fisher;A.T. Ihler

  • Nonparametric belief propagation for self-calibration in sensor networks

    Alexander T. Ihler;John W. Fisher;Randolph L. Moses;Alan S. Willsky

  • Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar

    K.R. Varshney;M. Cetin;J.W. Fisher;A.S. Willsky

  • Automatic registration of LIDAR and optical images of urban scenes

    Andrew Mastin;Jeremy Kepner;John Fisher

  • Approximate Dynamic Programming for Communication-Constrained Sensor Network Management

    J.L. Williams;J.W. Fisher;A.S. Willsky

  • Maximum mutual information principle for dynamic sensor query problems

    Emre Ertin;John W. Fisher;Lee C. Potter

  • Learning from Examples with Information Theoretic Criteria

    Jose C. Principe;Dongxin Xu;Qun Zhao;John W. Fisher

  • Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

    Qiaohao Liang;Aldair E. Gongora;Zekun Ren;Armi Tiihonen

  • Speaker association with signal-level audiovisual fusion

    J.W. Fisher;T. Darrell

  • Nonparametric methods for image segmentation using information theory and curve evolution

    Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

  • Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation

    Søren Hauberg;Oren Freifeld;Anders Boesen Lindbo Larsen;John W. Fisher

  • Construction of Dependent Dirichlet Processes based on Poisson Processes

    Dahua Lin;Eric Grimson;John W. Fisher

Frequent Co-Authors

Alexander T. Ihler
Alexander T. Ihler University of California, Irvine
Jose C. Principe
Jose C. Principe University of Florida
Mujdat Cetin
Mujdat Cetin University of Rochester
Trevor Darrell
Trevor Darrell University of California, Berkeley
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Randolph L. Moses
Randolph L. Moses The Ohio State University

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