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Alan Richardson-Klavehn

D-Index & Metrics

Neuroscience

D-Index
36
Citations
5623
World Ranking
8992
National Ranking
756

Alan Richardson-Klavehn publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Alan Richardson-Klavehn sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 64 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Alan Richardson-Klavehn D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Alan Richardson-Klavehn sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Alan Richardson-Klavehn is affiliated with Otto-von-Guericke University Magdeburg in Germany. Their research primarily focuses on neuroscience, with a specific emphasis on cognitive neuroscience and memory-related neural mechanisms.

The main fields of study covered in their work include:

  • Neuroscience

The subfields of study targeted by their research specifically encompass:

  • Cognitive Neuroscience

Research topics frequently addressed by Alan Richardson-Klavehn include:

  • Functional Brain Connectivity Studies
  • Memory and Neural Mechanisms
  • Neural dynamics and brain function
  • Memory Processes and Influences

Among their recent publications are two papers from 2020 and 2021, both titled Bayesian model selection favors parametric over categorical fMRI subsequent memory models in young and older adults. The 2021 paper was published in the journal NeuroImage, while the 2020 paper appeared in bioRxiv (Cold Spring Harbor Laboratory).

Frequent co-authors collaborating with Richardson-Klavehn include:

  • Joram Soch
  • Anni Richter
  • Hartmut Schütze
  • Jasmin M. Kizilirmak
  • Anne Assmann

They have published primarily in venues such as:

  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Remembering and knowing

    John M. Gardiner;Alan Richardson-Klavehn

  • Experiences of Remembering, Knowing, and Guessing☆

    John M. Gardiner;Cristina Ramponi;Alan Richardson-Klavehn

  • Medial temporal theta state before an event predicts episodic encoding success in humans.

    Sebastian Guderian;Björn H. Schott;Alan Richardson-Klavehn;Emrah Düzel

  • How Level of Processing Really Influences Awareness in Recognition Memory

    John M. Gardiner;Rosalind I. Java;Alan Richardson-Klavehn

  • Recognition memory and decision processes: a meta-analysis of remember, know, and guess responses.

    John M. Gardiner;Cristina Ramponi;Alan Richardson-Klavehn

  • Redefining implicit and explicit memory: The functional neuroanatomy of priming, remembering, and control of retrieval

    Björn H. Schott;Richard N. Henson;Alan Richardson-Klavehn;Christine Becker

  • Maintenance rehearsal affects knowing, not remembering; elaborative rehearsal affects remembering, not knowing

    John M. Gardiner;Berthold Gawlik;Alan Richardson-Klavehn

  • Involuntary conscious memory and the method of opposition

    Alan Richardson-klavehn;John M. Gardiner;Rosalind I. Java

  • ERP and behavioural evidence for direct suppression of unwanted memories.

    Zara M. Bergström;Jan W. de Fockert;Alan Richardson-Klavehn

  • Cross-modality priming in stem completion reflects conscious memory, but not voluntary memory.

    Alan Richardson-Klavehn;John M. Gardiner

  • ERP evidence for successful voluntary avoidance of conscious recollection

    Zara M. Bergström;Max Velmans;Jan de Fockert;Alan Richardson-Klavehn;Alan Richardson-Klavehn

  • Depth-of-processing effects on priming in stem completion: tests of the voluntary-contamination, conceptual-processing, and lexical-processing hypotheses.

    Alan Richardson-Klavehn;John M. Gardiner

  • Neural markers of inhibition in human memory retrieval.

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

  • Perceptual Priming Versus Explicit Memory: Dissociable Neural Correlates at Encoding

    Björn Schott;Alan Richardson-Klavehn;Hans-Jochen Heinze;Emrah Düzel

  • Recapitulating emotional context: activity of amygdala, hippocampus and fusiform cortex during recollection and familiarity.

    Daniela B. Fenker;Björn H. Schott;Alan Richardson-Klavehn;Hans-Jochen Heinze

  • The relationship between level of processing and hippocampal-cortical functional connectivity during episodic memory formation in humans.

    Björn H. Schott;Torsten Wüstenberg;Maria Wimber;Daniela B. Fenker

  • Generation and the subjective feeling of "aha!" are independently related to learning from insight.

    Jasmin M. Kizilirmak;Joana Galvao Gomes da Silva;Fatma Imamoglu;Fatma Imamoglu;Fatma Imamoglu;Alan Richardson-Klavehn

  • On Reporting Recollective Experiences and “Direct Access to Memory Systems”

    John M. Gardiner;Alan Richardson-Klavehn;Cristina Ramponi

  • Neuroanatomical Dissociation of Encoding Processes Related to Priming and Explicit Memory

    Björn H Schott;Alan Richardson-Klavehn;Richard N A Henson;Christine Becker

  • Corticothalamic phase synchrony and cross-frequency coupling predict human memory formation

    Catherine M Sweeney-Reed;Tino Zaehle;Juergen Voges;Juergen Voges;Friedhelm C Schmitt

  • Rapid Memory Reactivation Revealed by Oscillatory Entrainment

    Maria Wimber;Anne Maaß;Tobias Staudigl;Tobias Staudigl;Alan Richardson-Klavehn

  • Memory signals from the thalamus: early thalamocortical phase synchronization entrains gamma oscillations during long-term memory retrieval.

    Tobias Staudigl;Tino Zaehle;Jürgen Voges;Simon Hanslmayr

  • Event-related potential evidence that automatic recollection can be voluntarily avoided

    Zara M. Bergström;Jan de Fockert;Alan Richardson-Klavehn

  • Intentional retrieval suppression can conceal guilty knowledge in ERP memory detection tests

    Zara M. Bergström;Michael C. Anderson;Michael C. Anderson;Marie Buda;Jon S. Simons

  • Neural Correlates of Learning from Induced Insight: A Case for Reward-Based Episodic Encoding.

    Jasmin M. Kizilirmak;Hannes Thuerich;Kristian Folta-Schoofs;Bjoern H. Schott;Bjoern H. Schott

  • Gradual acquisition of visuospatial associative memory representations via the dorsal precuneus

    Björn H. Schott;Torsten Wüstenberg;Eva Lücke;Ina-Maria Pohl

  • Pre-stimulus thalamic theta power predicts human memory formation

    Catherine M. Sweeney-Reed;Tino Zaehle;Jürgen Voges;Jürgen Voges;Friedhelm C. Schmitt

  • Prefrontal dopamine and the dynamic control of human long-term memory

    Maria Wimber;Björn H. Schott;Björn H. Schott;Björn H. Schott;Franziska Wendler;Constanze I. Seidenbecher

  • Thalamic theta phase alignment predicts human memory formation and anterior thalamic cross-frequency coupling

    Catherine M. Sweeney-Reed;Tino Zaehle;Jürgen Voges;Friedhelm C. Schmitt

Frequent Co-Authors

Hans-Jochen Heinze
Hans-Jochen Heinze Otto-von-Guericke University Magdeburg
Björn H. Schott
Björn H. Schott University of Göttingen
Emrah Düzel
Emrah Düzel German Center for Neurodegenerative Diseases
Hermann Hinrichs
Hermann Hinrichs Otto-von-Guericke University Magdeburg
Tino Zaehle
Tino Zaehle Otto-von-Guericke University Magdeburg
Constanze I. Seidenbecher
Constanze I. Seidenbecher Leibniz Institute for Neurobiology
Robert T. Knight
Robert T. Knight University of California, Berkeley
Torsten Wüstenberg
Torsten Wüstenberg Heidelberg University
Michael D. Rugg
Michael D. Rugg The University of Texas at Dallas
Philipp Sterzer
Philipp Sterzer Charité - University Medicine Berlin

External Links

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Related Online Degrees & Career Pathways

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Cost is another crucial factor. Many students seek the cheapest online master's in counseling to minimize debt while advancing their education. If your passion lies in helping families, pursuing an lmft degree (Licensed Marriage and Family Therapist) is a recommended pathway, also available through online and affordable options.

For those wanting a broader foundation in human behavior, a masters of psychology online can open doors in research, mental health, or educational settings. Exploring these options allows neuroscience graduates to blend specialized knowledge with practical counseling and therapy skills for a range of career pathways.

Best Scientists Citing Alan Richardson-Klavehn

Simon Hanslmayr

Simon Hanslmayr

University of Glasgow

Publications: 42

Michael C. Anderson

Michael C. Anderson

University of Cambridge

Publications: 40

Emrah Düzel

Emrah Düzel

German Center for Neurodegenerative Diseases

Publications: 30

Björn H. Schott

Björn H. Schott

University of Göttingen

Publications: 28

Michael D. Rugg

Michael D. Rugg

The University of Texas at Dallas

Publications: 20

Hans-Jochen Heinze

Hans-Jochen Heinze

Otto-von-Guericke University Magdeburg

Publications: 19

Scott D. Slotnick

Scott D. Slotnick

Boston College

Publications: 17

Joel L. Voss

Joel L. Voss

Northwestern University

Publications: 15

Robert T. Knight

Robert T. Knight

University of California, Berkeley

Publications: 15

Howard Bowman

Howard Bowman

University of Birmingham

Publications: 15

Karl-Heinz T. Bäuml

Karl-Heinz T. Bäuml

University of Regensburg

Publications: 14

Ken A. Paller

Ken A. Paller

Northwestern University

Publications: 13

Michael J. Kahana

Michael J. Kahana

University of Pennsylvania

Publications: 13

Constanze I. Seidenbecher

Constanze I. Seidenbecher

Leibniz Institute for Neurobiology

Publications: 12

Richard N. Henson

Richard N. Henson

MRC Cognition and Brain Sciences Unit

Publications: 12

Charan Ranganath

Charan Ranganath

University of California, Davis

Publications: 12

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