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Karl-Heinz T. Bäuml

Karl-Heinz T. Bäuml

D-Index & Metrics

Psychology

D-Index
54
Citations
9600
World Ranking
4649
National Ranking
209

Karl-Heinz T. Bäuml 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 Karl-Heinz T. Bäuml 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: 190 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Karl-Heinz T. Bäuml 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 Karl-Heinz T. Bäuml 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: 54 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Karl-Heinz T. Bäuml is affiliated with the University of Regensburg in Germany. Their research primarily spans the fields of Neuroscience, Psychology, and Computer Science, with a strong focus on Cognitive Neuroscience and aspects of Artificial Intelligence. Additional subfields include Developmental and Educational Psychology, Experimental and Cognitive Psychology, and Social Psychology.

Their work addresses multiple topics related to memory and learning processes. Key research areas involve Memory Processes and Influences, Memory and Neural Mechanisms, Intelligent Tutoring Systems and Adaptive Learning, Neural and Behavioral Psychology Studies, Identity, Memory, and Therapy, Domain Adaptation and Few-Shot Learning, as well as Visual and Cognitive Learning Processes.

Karl-Heinz T. Bäuml has published extensively in several scholarly venues. Frequent publication outlets include:

  • Memory
  • Cognition
  • Journal of Applied Research in Memory and Cognition
  • Psychonomic Bulletin & Review
  • Proceedings of the National Academy of Sciences

Their recent papers include the following:

  • Buildup and release from proactive interference - Cognitive and neural mechanisms, 2020, Neuroscience & Biobehavioral Reviews
  • Would you like to learn more? Retrieval practice plus feedback can increase motivation to keep on studying, 2020, Cognition
  • Social interactions can simultaneously enhance and distort memories: Evidence from a collaborative recognition task, 2020, Cognition
  • Selective memory retrieval can revive forgotten memories, 2022, Proceedings of the National Academy of Sciences
  • The Mechanisms Underlying Interference and Inhibition: A Review of Current Behavioral and Neuroimaging Research, 2021, Brain Sciences

Collaboration has played a significant role in their research output. Frequent coauthors include:

  • Oliver Kliegl
  • Magdalena Abel
  • Verena M. Kriechbaum
  • Anna T. Nickl
  • Johannes Bartl

Best Publications

  • Prestimulus oscillations predict visual perception performance between and within subjects.

    Simon Hanslmayr;Alp Aslan;Tobias Staudigl;Wolfgang Klimesch

  • The electrophysiological dynamics of interference during the stroop task

    Simon Hanslmayr;Bernhard Pastötter;Karl-Heinz Bäuml;Sieglinde Gruber

  • Brain Oscillations Dissociate between Semantic and Nonsemantic Encoding of Episodic Memories

    Simon Hanslmayr;Bernhard Spitzer;Karl-Heinz Bäuml

  • Semantic Generation Can Cause Episodic Forgetting

    Karl-Heinz Bäuml

  • The Relationship between Brain Oscillations and BOLD Signal during Memory Formation: A Combined EEG–fMRI Study

    Simon Hanslmayr;Gregor Volberg;Maria Wimber;Markus Raabe

  • Retrieval during learning facilitates subsequent memory encoding.

    Bernhard Pastötter;Sabine Schicker;Julia Niedernhuber;Karl-Heinz T. Bäuml

  • Retrieval practice enhances new learning: the forward effect of testing.

    Bernhard Pastötter;Karl-Heinz Thomas Bäuml

  • Remembering Can Cause Forgetting—but Not in Negative Moods

    Karl-Heinz Bäuml;Christof Kuhbandner

  • Simultaneous color constancy: How surface color perception varies with the illuminant

    Karl Heinz Bäuml

  • Theta Oscillations Reflect the Dynamics of Interference in Episodic Memory Retrieval

    Tobias Staudigl;Simon Hanslmayr;Karl-Heinz T. Bäuml

  • Individual differences in working memory capacity predict retrieval-induced forgetting.

    Alp Aslan;Karl-Heinz T. Bäuml

  • When Remembering Causes Forgetting: Electrophysiological Correlates of Retrieval-Induced Forgetting

    Mikael Johansson;Mikael Johansson;Alp Aslan;Karl-Heinz Bäuml;Andrea Gäbel

  • Part-list cuing as instructed retrieval inhibition.

    Karl Heinz Bäuml;Alp Aslan

  • Binding and inhibition in episodic memory : Cognitive, emotional, and neural processes

    Karl-Heinz Bäuml;Bernhard Pastötter;Simon Hanslmayr

  • Retrieval from episodic memory: Neural mechanisms of interference resolution

    Maria Wimber;Roland Marcus Rutschmann;Mark W. Greenlee;Karl-Heinz Bäuml

  • Neural markers of inhibition in human memory retrieval.

    Maria Wimber;Karl-Heinz Bäuml;Zara M Bergström;Gerasimos Markopoulos

  • Strong items get suppressed, weak items do not: The role of item strength in output interference

    Karl-heinz Bäuml

  • Theta oscillations predict the detrimental effects of memory retrieval.

    Simon Hanslmayr;Tobias Staudigl;Alp Aslan;Karl-Heinz T. Bäuml

  • Anticipatory Signatures of Voluntary Memory Suppression

    Simon Hanslmayr;Philipp Leipold;Bernhard Pastötter;Karl-Heinz Bäuml

  • No Inhibitory Deficit in Older Adults' Episodic Memory

    Alp Aslan;Karl-Heinz Bäuml;Bernhard Pastötter

Frequent Co-Authors

Simon Hanslmayr
Simon Hanslmayr University of Glasgow
Mark W. Greenlee
Mark W. Greenlee University of Regensburg
Johanna Kissler
Johanna Kissler Bielefeld University
Berthold Langguth
Berthold Langguth University of Regensburg
Wolfgang Klimesch
Wolfgang Klimesch University of Salzburg
Björn H. Schott
Björn H. Schott University of Göttingen
Gesine Dreisbach
Gesine Dreisbach University of Regensburg
Oliver Tucha
Oliver Tucha University of Rostock
Axel Mecklinger
Axel Mecklinger Saarland University
Mikael Johansson
Mikael Johansson Royal Institute of Technology

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