World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5558
World Ranking
12096
National Ranking
4925

Benjamin M. Marlin 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 Benjamin M. Marlin 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Benjamin M. Marlin 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 Benjamin M. Marlin 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Benjamin M. Marlin is affiliated with the University of Massachusetts Amherst in the United States. Their research focuses primarily on computer science with a strong emphasis on artificial intelligence and its applications.

The scientist's work spans multiple subfields, including artificial intelligence, computer vision and pattern recognition, applied psychology, signal processing, and experimental and cognitive psychology. These areas reflect a multidisciplinary approach combining computational methods with insights from behavioral sciences.

The main topics covered in their research include:

  • Gaussian Processes and Bayesian Inference
  • Adversarial Robustness in Machine Learning
  • Machine Learning in Healthcare
  • Time Series Analysis and Forecasting
  • Mental Health Research Topics
  • Advanced Neural Network Applications
  • Mobile Health and mHealth Applications

Benjamin M. Marlin has contributed to a range of publication venues, most notably:

  • arXiv (Cornell University) with 23 papers
  • MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) with 3 papers
  • Drug and Alcohol Dependence with 2 papers
  • PubMed with 2 papers
  • npj Digital Medicine with 1 paper

Their recent papers include:

  • "Digitizing clinical trials" published in 2020 in npj Digital Medicine
  • "Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol," published in 2022 in International Journal of Environmental Research and Public Health
  • "Multi-Time Attention Networks for Irregularly Sampled Time Series," published in 2021 on arXiv (Cornell University)
  • "Learning from Irregularly-Sampled Time Series: A Missing Data Perspective," published in 2020 on arXiv (Cornell University)
  • "A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series," published in 2020 on arXiv (Cornell University)

Frequent collaborators working with Benjamin M. Marlin include:

  • Deepak Ganesan
  • Meet P. Vadera
  • Colin Samplawski
  • Predrag Klasnja
  • Satya Narayan Shukla

Best Publications

  • Relation Extraction with Matrix Factorization and Universal Schemas

    Sebastian Riedel;Limin Yao;Andrew McCallum;Benjamin M. Marlin

  • Modeling User Rating Profiles For Collaborative Filtering

    Benjamin M. Marlin

  • Collaborative prediction and ranking with non-random missing data

    Benjamin M. Marlin;Richard S. Zemel

  • Digitizing clinical trials.

    O. T. Inan;P. Tenaerts;S. A. Prindiville;H. R. Reynolds

  • Collaborative Filtering: A Machine Learning Perspective

    Benjamin Marlin

  • Collaborative filtering and the missing at random assumption

    Benjamin M. Marlin;Richard S. Zemel;Sam Roweis;Malcolm Slaney

  • Practical prediction and prefetch for faster access to applications on mobile phones

    Abhinav Parate;Matthias Böhmer;David Chu;Deepak Ganesan

  • Inductive Principles for Restricted Boltzmann Machine Learning

    Benjamin M. Marlin;Kevin Swersky;Bo Chen;Nando de Freitas

  • Unsupervised pattern discovery in electronic health care data using probabilistic clustering models

    Benjamin M. Marlin;David C. Kale;Robinder G. Khemani;Randall C. Wetzel

  • Missing data problems in machine learning

    Benjamin M. Marlin

  • puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation

    Nazir Saleheen;Amin Ahsan Ali;Syed Monowar Hossain;Hillol Sarker

  • MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

    Steven Cheng-Xian Li;Bo Jiang;Benjamin M. Marlin

  • The multiple multiplicative factor model for collaborative filtering

    Benjamin Marlin;Richard S. Zemel

  • On Autoencoders and Score Matching for Energy Based Models

    Kevin Swersky;Marc'aurelio Ranzato;David Buchman;Nando D. Freitas

  • Active collaborative filtering

    Craig Boutilier;Richard S. Zemel;Benjamin Marlin

  • Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces

    Haibin Huang;Evangelos Kalogerakis;Benjamin Marlin

  • A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets

    Kevin Swersky;Bo Chen;Ben Marlin;Nando de Freitas

  • iShadow: design of a wearable, real-time mobile gaze tracker

    Addison Mayberry;Pan Hu;Benjamin Marlin;Christopher Salthouse

  • Variational bounds for mixed-data factor analysis

    Mohammad E Khan;Guillaume Bouchard;Kevin P. Murphy;Benjamin M. Marlin

  • Sparse Gaussian graphical models with unknown block structure

    Benjamin M. Marlin;Kevin P. Murphy

  • Interpolation-Prediction Networks for Irregularly Sampled Time Series

    Satya Narayan Shukla;Benjamin M. Marlin

  • Recommender systems: missing data and statistical model estimation

    Benjamin M. Marlin;Richard S. Zemel;Sam T. Roweis;Malcolm Slaney

  • Multi-Time Attention Networks for Irregularly Sampled Time Series

    Satya Narayan Shukla;Benjamin Marlin

Frequent Co-Authors

Deepak Ganesan
Deepak Ganesan University of Massachusetts Amherst
Richard S. Zemel
Richard S. Zemel University of Toronto
Robert T. Malison
Robert T. Malison Yale University
Mani Srivastava
Mani Srivastava University of California, Los Angeles
Mustafa al'Absi
Mustafa al'Absi University of Minnesota
Sam T. Roweis
Sam T. Roweis New York University
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)
Prashant Shenoy
Prashant Shenoy University of Massachusetts Amherst
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Bonnie Spring
Bonnie Spring Northwestern University

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