World's Best Scientists 2026 revealed!
Shepard Siegel

Shepard Siegel

D-Index & Metrics

Psychology

D-Index
53
Citations
10392
World Ranking
4823
National Ranking
322

Shepard Siegel 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 Shepard Siegel 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: 148 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Shepard Siegel 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 Shepard Siegel 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: 53 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - ACM Senior Member
  • 1991 - Fellow of the Royal Society of Canada Academy of Social Sciences

Overview

Shepard Siegel is affiliated with McMaster University in Canada and has contributed to several fields, including Neuroscience, Environmental Science, and Computer Science. Their research spans subfields such as Cognitive Neuroscience, Health, Toxicology and Mutagenesis, and Artificial Intelligence. Siegel's work addresses topics like Functional Brain Connectivity Studies, Health, Environment, Cognitive Aging, and the application of Machine Learning in Healthcare.

Siegel has coauthored with several frequent collaborators, including Magdalini Paschali, Yu Jiang, Camila Gonzalez, Kilian M. Pohl, and Akshay Chaudhari.

Their recent papers are as follows:

  • Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging, 2024, Lecture notes in computer science
  • Michael Domjan and the functional significance of the conditional response, 2021, Learning & Behavior
  • Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging, 2024, arXiv (Cornell University)

Siegel's publications have appeared in venues including Lecture notes in computer science, Learning & Behavior, and arXiv (Cornell University).

Among the awards received, Siegel was named an ACM Senior Member in 2013 and was made a Fellow of the Royal Society of Canada in 1991 under the Academy of Social Sciences.

Best Publications

  • Evidence from rats that morphine tolerance is a learned response.

    Shepard Siegel

  • Classical Conditioning, Drug Tolerance, and Drug Dependence

    Shepard Siegel

  • Morphine analgesic tolerance: its situation specificity supports a Pavlovian conditioning model

    Shepard Siegel

  • Heroin "overdose" death: contribution of drug-associated environmental cues

    Shepard Siegel;Riley E. Hinson;Marvin D. Krank;Jane McCully

  • Pavlovian conditioning of rat mucosal mast cells to secrete rat mast cell protease II.

    Glenda MacQueen;Jean Marshall;Mary Perdue;Shepard Siegel

  • Morphine tolerance acquisition as an associative process.

    Shepard Siegel

  • The role of conditioning in drug tolerance and addiction.

    Shepard Siegel

  • Pharmacological Conditioning and Drug Effects

    Shepard Siegel

  • Tolerance to the hyperthermic effect of morphine in the rat is a learned response.

    Shepard Siegel

  • The role of conditional drug responses in tolerance to the hypothermic effects of ethanol

    Charles R. Crowell;Riley E. Hinson;Shepard Siegel

  • The role of Pavlovian processes in drug tolerance and dependence: Implications for treatment

    Constantine X. Poulos;Riley E. Hinson;Shepard Siegel

  • Pavlovian psychopharmacology: the associative basis of tolerance.

    Shepard Siegel;Marco A. S. Baptista;Joseph A. Kim;Robert V. McDonald

  • Applying laboratory research: drug anticipation and the treatment of drug addiction.

    Shepard Siegel;Barbara M. C. Ramos

  • The widespread influence of the Rescorla-Wagner model

    Shepard Siegel;Lorraine G. Allan

  • Backward conditoning as an inhibitory procedure

    Shepard Siegel;Michael Domjan

  • Response of borderline and schizotypal patients to small doses of thiothixene and haloperidol.

    G Serban;S Siegel

  • The role of predrug signals in morphine analgesic tolerance: support for a Pavlovian conditioning model of tolerance.

    Shepard Siegel;Riley E. Hinson;Marvin D. Krank

  • Conditioning of insulin-induced glycemia.

    Shepard Siegel

  • Drug anticipation and drug addiction. The 1998 H. David Archibald Lecture.

    Shepard Siegel

  • Conditioning insulin effects.

    Shepard Siegel

Frequent Co-Authors

Lorraine G. Allan
Lorraine G. Allan McMaster University
Linda A. Parker
Linda A. Parker University of Guelph
Glenda MacQueen
Glenda MacQueen University of Calgary
Thomas Eissenberg
Thomas Eissenberg Virginia Commonwealth University
Michael Domjan
Michael Domjan The University of Texas at Austin
John Bienenstock
John Bienenstock McMaster University
William A. Mason
William A. Mason University of California, Davis
Robert S. Astur
Robert S. Astur University of Connecticut
Allan R. Wagner
Allan R. Wagner Yale University
Gaylord Ellison
Gaylord Ellison University of California, Los Angeles

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