World's Best Scientists 2026 revealed!
A. Ross Otto

A. Ross Otto

D-Index & Metrics

Psychology

D-Index
32
Citations
4416
World Ranking
10906
National Ranking
752

A. Ross Otto publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where A. Ross Otto sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 85 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

A. Ross Otto D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where A. Ross Otto sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 32 D-Index — 6th percentile

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

The last bar groups every scientist with 144 D-Index or more.

Best Publications

  • Working-memory capacity protects model-based learning from stress

    A. Ross Otto;Candace M. Raio;Alice Chiang;Elizabeth A. Phelps;Elizabeth A. Phelps;Elizabeth A. Phelps

  • The Curse of Planning Dissecting Multiple Reinforcement-Learning Systems by Taxing the Central Executive

    A. Ross Otto;Samuel J. Gershman;Arthur B. Markman;Nathaniel D. Daw

  • Retrospective revaluation in sequential decision making: a tale of two systems.

    Samuel J. Gershman;Arthur B. Markman;A. Ross Otto

  • From Creatures of Habit to Goal-Directed Learners: Tracking the Developmental Emergence of Model-Based Reinforcement Learning

    Johannes H. Decker;A. Ross Otto;Nathaniel Douglass Daw;Catherine A. Hartley

  • Model-based learning protects against forming habits

    Claire M. Gillan;Claire M. Gillan;A. Ross Otto;Elizabeth A. Phelps;Elizabeth A. Phelps;Nathaniel D. Daw

  • Cognitive control predicts use of model-based reinforcement learning

    A. Ross Otto;Anya Skatova;Seth Madlon-Kay;Nathaniel D. Daw

  • Heterogeneity of strategy use in the Iowa gambling task: A comparison of win-stay/lose-shift and reinforcement learning models

    Darrell A. Worthy;Melissa J. Hawthorne;A. Ross Otto

  • Offline replay supports planning in human reinforcement learning.

    Ida Momennejad;A Ross Otto;Nathaniel D Daw;Kenneth A Norman

  • The opportunity cost of time modulates cognitive effort

    A. Ross Otto;Nathaniel D. Daw

  • The Influence of Depression Symptoms on Exploratory Decision-Making

    Nathaniel J. Blanco;A. Ross Otto;W. Todd Maddox;Christopher G. Beevers

  • The Nature of Belief-Directed Exploratory Choice in Human Decision-Making

    W. Bradley Knox;A. Ross Otto;Peter H Stone;Bradley C Love

  • Cognitive capacity limitations and Need for Cognition differentially predict reward-induced cognitive effort expenditure.

    Dasha A. Sandra;A. Ross Otto

  • Reduced model-based decision-making in gambling disorder.

    Florent Wyckmans;A Ross Otto;Miriam Sebold;Miriam Sebold;Nathaniel Daw

  • There are at least two kinds of probability matching: evidence from a secondary task.

    A. Ross Otto;Eric G. Taylor;Arthur B. Markman

  • Working-Memory Load and Temporal Myopia in Dynamic Decision Making

    Darrell A. Worthy;A. Ross Otto;W. Todd Maddox

  • Acute Psychosocial Stress Increases Cognitive-Effort Avoidance.

    Mario Bogdanov;Jonas P. Nitschke;Sophia LoParco;Jennifer A. Bartz

  • Forced Choices Reveal a Trade-Off between Cognitive Effort and Physical Pain

    Todd A Vogel;Zachary M Savelson;A Ross Otto;Mathieu Roy

  • Stress promotes generalization of older but not recent threat memories

    Joseph E. Dunsmoor;A. Ross Otto;Elizabeth A. Phelps;Elizabeth A. Phelps

  • Temporal dynamics of real-world emotion are more strongly linked to prediction error than outcome.

    William J Villano;A Ross Otto;C E Chiemeka Ezie;Roderick Gillis

  • Unexpected but Incidental Positive Outcomes Predict Real-World Gambling

    A. Ross Otto;Stephen M. Fleming;Stephen M. Fleming;Paul W. Glimcher;Paul W. Glimcher

Frequent Co-Authors

Nathaniel D. Daw
Nathaniel D. Daw Princeton University
Bradley C. Love
Bradley C. Love University College London
Arthur B. Markman
Arthur B. Markman The University of Texas at Austin
Elizabeth A. Phelps
Elizabeth A. Phelps Harvard University
W. Todd Maddox
W. Todd Maddox The University of Texas at Austin
Thomas R. Shultz
Thomas R. Shultz McGill University
Stephen M. Fleming
Stephen M. Fleming University College London
Samuel J. Gershman
Samuel J. Gershman Harvard University
Kenneth A. Norman
Kenneth A. Norman Princeton University
Johannes C. Eichstaedt
Johannes C. Eichstaedt Stanford University

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