World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7251
World Ranking
6596
National Ranking
2914

Alan Fern 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 Alan Fern 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: 229 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Alan Fern 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 Alan Fern 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Alan Fern is affiliated with Oregon State University in the United States. Their research spans multiple areas within computer science and engineering, particularly focusing on artificial intelligence and robotics.

Fern has contributed extensively to the study of robotic locomotion and control as well as reinforcement learning applied to robotics. Their work also encompasses explainable artificial intelligence (XAI), adversarial robustness in machine learning, prosthetics and rehabilitation robotics, human pose and action recognition, and anomaly detection techniques and applications.

Their publication record includes a significant number of works in leading venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Interactive Intelligent Systems
  • Applied AI Letters
  • 2022 International Conference on Robotics and Automation (ICRA)

Some of the recent papers authored by or including Alan Fern are:

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning, 2020, ACM Transactions on Interactive Intelligent Systems
  • Special report: The AgAID AI institute for transforming workforce and decision support in agriculture, 2022, Computers and Electronics in Agriculture
  • Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Planning in Factored Action Spaces with Symbolic Dynamic Programming, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Optimizing Bipedal Maneuvers of Single Rigid-Body Models for Reinforcement Learning, 2022, 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)

Throughout their career, Alan Fern has collaborated frequently with other researchers. Notable frequent coauthors include:

  • Jeremy Dao
  • Jonathan Hurst
  • Prasad Tadepalli
  • Kevin Green
  • Helei Duan

In terms of fields of study, the main areas of Alan Fern's research are:

  • Computer Science
  • Engineering

Their work covers a variety of subfields such as:

  • Artificial Intelligence
  • Biomedical Engineering
  • Control and Systems Engineering
  • Plant Science
  • Computer Vision and Pattern Recognition

Best Publications

  • FF-Replan: a baseline for probabilistic planning

    Sungwook Yoon;Alan Fern;Robert Givan

  • Multi-task reinforcement learning: a hierarchical Bayesian approach

    Aaron Wilson;Alan Fern;Soumya Ray;Prasad Tadepalli

  • UCT for tactical assault planning in real-time strategy games

    Radha-Krishna Balla;Alan Fern

  • Visualizing and Understanding Atari Agents.

    Samuel Greydanus;Anurag Koul;Jonathan Dodge;Alan Fern

  • Online Ensemble Learning: An Empirical Study

    Alan Fern;Robert Givan

  • Probabilistic planning via determinization in hindsight

    Sungwook Yoon;Alan Fern;Robert Givan;Subbarao Kambhampati

  • Discriminatively trained particle filters for complex multi-object tracking

    Rob Hess;Alan Fern

  • Detecting insider threats in a real corporate database of computer usage activity

    Ted E. Senator;Henry G. Goldberg;Alex Memory;William T. Young

  • Incorporating Expert Feedback into Active Anomaly Discovery

    Shubhomoy Das;Weng-Keen Wong;Thomas Dietterich;Alan Fern

  • Approximate policy iteration with a policy language bias: solving relational Markov decision processes

    Alan Fern;Sungwook Yoon;Robert Givan

  • Probabilistic event logic for interval-based event recognition

    William Brendel;Alan Fern;Sinisa Todorovic

  • Fast Online Trajectory Optimization for the Bipedal Robot Cassie

    Taylor Apgar;Patrick Clary;Kevin Green;Alan Fern

  • Systematic construction of anomaly detection benchmarks from real data

    Andrew F. Emmott;Shubhomoy Das;Thomas Dietterich;Alan Fern

  • A Bayesian Approach for Policy Learning from Trajectory Preference Queries

    Aaron Wilson;Alan Fern;Prasad Tadepalli

  • Approximate Policy Iteration with a Policy Language Bias

    Alan Fern;Sungwook Yoon;Robert Givan

  • Transfer in variable-reward hierarchical reinforcement learning

    Neville Mehta;Sriraam Natarajan;Prasad Tadepalli;Alan Fern

  • Learning probabilistic behavior models in real-time strategy games

    Ethan Dereszynski;Jesse Hostetler;Alan Fern;Tom Dietterich

  • Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning

    Jonah Siekmann;Kevin Green;John Warila;Alan Fern

  • Learning Control Knowledge for Forward Search Planning

    Sungwook Yoon;Alan Fern;Robert Givan

  • Lower bounding Klondike Solitaire with Monte-Carlo planning

    Ronald Bjarnason;Alan Fern;Prasad Tadepalli

  • A decision-theoretic model of assistance

    Alan Fern;Sriraam Natarajan;Kshitij Judah;Prasad Tadepalli

  • Batch Bayesian Optimization via Simulation Matching

    Javad Azimi;Alan Fern;Xiaoli Z. Fern

Frequent Co-Authors

Prasad Tadepalli
Prasad Tadepalli Oregon State University
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Weng-Keen Wong
Weng-Keen Wong Oregon State University
Martin Erwig
Martin Erwig Oregon State University
Xiaoli Z. Fern
Xiaoli Z. Fern Oregon State University
Sinisa Todorovic
Sinisa Todorovic Oregon State University
Margaret Burnett
Margaret Burnett Oregon State University
Stefan Lee
Stefan Lee Oregon State University
Bechir Hamdaoui
Bechir Hamdaoui Oregon State University
Jun Jiao
Jun Jiao Portland State University

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Related Online Degrees & Career Pathways

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