Paul J. Reber

7.2k total citations · 1 hit paper
71 papers, 5.1k citations indexed

About

Paul J. Reber is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Paul J. Reber has authored 71 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 19 papers in Developmental and Educational Psychology and 11 papers in Social Psychology. Recurrent topics in Paul J. Reber's work include Memory and Neural Mechanisms (29 papers), Memory Processes and Influences (19 papers) and Child and Animal Learning Development (17 papers). Paul J. Reber is often cited by papers focused on Memory and Neural Mechanisms (29 papers), Memory Processes and Influences (19 papers) and Child and Animal Learning Development (17 papers). Paul J. Reber collaborates with scholars based in United States, United Kingdom and Philippines. Paul J. Reber's co-authors include Larry R. Squire, Ken A. Paller, Todd B. Parrish, Darren R. Gitelman, M.‐Marsel Mesulam, Craig E.L. Stark, Mark Beeman, Laura Batterink, Barbara J. Knowlton and R.E. Greenblatt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Paul J. Reber

70 papers receiving 4.9k citations

Hit Papers

Neural Activity When People Solve Verbal Problems with In... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul J. Reber United States 36 3.9k 1.2k 1.2k 743 436 71 5.1k
And U. Turken United States 17 3.0k 0.8× 990 0.8× 1.2k 1.0× 937 1.3× 303 0.7× 22 4.8k
Carol A. Seger United States 33 3.3k 0.9× 1.1k 0.9× 891 0.8× 819 1.1× 383 0.9× 77 4.4k
Christian J. Fiebach Germany 43 4.3k 1.1× 1.7k 1.4× 1.2k 1.0× 693 0.9× 337 0.8× 104 5.6k
Colin Humphries United States 32 6.2k 1.6× 1.3k 1.1× 1.4k 1.2× 1.0k 1.4× 293 0.7× 47 7.0k
David Badre United States 33 7.2k 1.9× 1.0k 0.9× 1.3k 1.1× 930 1.3× 486 1.1× 91 8.3k
Ksenija Marinković United States 34 5.5k 1.4× 705 0.6× 988 0.8× 537 0.7× 785 1.8× 85 6.6k
Eric H. Schumacher United States 33 4.3k 1.1× 692 0.6× 920 0.8× 715 1.0× 190 0.4× 64 5.2k
Nicholas B. Turk‐Browne United States 45 6.8k 1.8× 1.4k 1.2× 1.4k 1.2× 644 0.9× 834 1.9× 146 8.4k
Jeremy R. Reynolds United States 19 3.2k 0.8× 562 0.5× 1.1k 0.9× 551 0.7× 180 0.4× 24 4.2k
Étienne Koechlin France 38 7.7k 2.0× 1.1k 0.9× 1.6k 1.3× 1.2k 1.6× 444 1.0× 57 9.4k

Countries citing papers authored by Paul J. Reber

Since Specialization
Citations

This map shows the geographic impact of Paul J. Reber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul J. Reber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Reber more than expected).

Fields of papers citing papers by Paul J. Reber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Reber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul J. Reber. The network helps show where Paul J. Reber may publish in the future.

Co-authorship network of co-authors of Paul J. Reber

This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Reber. A scholar is included among the top collaborators of Paul J. Reber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul J. Reber. Paul J. Reber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nolla, Kyle, Paul J. Reber, & Mark Beeman. (2024). Affect and Performance Across Double-Elimination Tournaments: A Field Study of Super Smash Bros Competitors. 2(1). 1 indexed citations
2.
Reber, Paul J., et al.. (2021). Implicit sequence learning using auditory cues leads to modality-specific representations. Psychonomic Bulletin & Review. 29(2). 541–551. 8 indexed citations
3.
Chon, Danbee, et al.. (2017). Motivation to avoid loss improves implicit skill performance.. Journal of Experimental Psychology Learning Memory and Cognition. 44(2). 327–333. 1 indexed citations
4.
Bharani, Krishna, et al.. (2015). Compensatory processing during rule-based category learning in older adults. Aging Neuropsychology and Cognition. 23(3). 304–326. 4 indexed citations
5.
Batterink, Laura, et al.. (2014). Sleep facilitates learning a new linguistic rule. Neuropsychologia. 65. 169–179. 55 indexed citations
6.
Reber, Paul J.. (2013). The neural basis of implicit learning and memory: A review of neuropsychological and neuroimaging research. Neuropsychologia. 51(10). 2026–2042. 184 indexed citations
7.
Bojinov, Hristo, et al.. (2012). Neuroscience meets cryptography: designing crypto primitives secure against rubber hose attacks. USENIX Security Symposium. 33–33. 30 indexed citations
8.
Reber, Paul J., et al.. (2011). Operating characteristics of the implicit learning system supporting serial interception sequence learning.. Journal of Experimental Psychology Human Perception & Performance. 38(2). 439–452. 16 indexed citations
9.
Reber, Paul J., et al.. (2011). Integration of temporal and ordinal information during serial interception sequence learning.. Journal of Experimental Psychology Learning Memory and Cognition. 37(4). 994–1000. 24 indexed citations
10.
Nomura, Emi, W. Todd Maddox, & Paul J. Reber. (2007). Mathematical Models of Visual Category Learning Enhance fMRI Data Analysis. eScholarship (California Digital Library). 29(29). 539–544. 5 indexed citations
11.
Voss, Joel L., Paul J. Reber, M.‐Marsel Mesulam, Todd B. Parrish, & Ken A. Paller. (2007). Familiarity and Conceptual Priming Engage Distinct Cortical Networks. Cerebral Cortex. 18(7). 1712–1719. 33 indexed citations
12.
Westerberg, Carmen E., Ken A. Paller, Sandra Weıntraub, et al.. (2006). When memory does not fail: Familiarity-based recognition in mild cognitive impairment and Alzheimer's disease.. Neuropsychology. 20(2). 193–205. 138 indexed citations
13.
McClelland, Jay, Ken A. Paller, Paul J. Reber, Mark Beeman, & Andrew Ortony. (2004). Cognitive Neuroscience: What does it tell us about high-order cognition?. eScholarship (California Digital Library). 26(26).
14.
Reber, Paul J., Darren R. Gitelman, Todd B. Parrish, & M.‐Marsel Mesulam. (2004). Priming Effects in the Fusiform Gyrus: Changes in Neural Activity beyond the Second Presentation. Cerebral Cortex. 15(6). 787–795. 23 indexed citations
15.
Paller, Ken A., Charan Ranganath, Brian D. Gonsalves, et al.. (2003). Neural Correlates of Person Recognition. Learning & Memory. 10(4). 253–260. 83 indexed citations
16.
Hooker, Christine I., Ken A. Paller, Darren R. Gitelman, et al.. (2003). Brain networks for analyzing eye gaze. Cognitive Brain Research. 17(2). 406–418. 177 indexed citations
17.
Reber, Paul J., Luis A. Martínez, & Sandra Weıntraub. (2003). Artificial grammar learning in Alzheimer's disease. Cognitive Affective & Behavioral Neuroscience. 3(2). 145–153. 18 indexed citations
18.
Reber, Paul J., Eric C. Wong, & Richard B. Buxton. (2002). Encoding activity in the medial temporal lobe examined with anatomically constrained fMRI analysis. Hippocampus. 12(3). 363–376. 51 indexed citations
19.
Reber, Paul J. & Larry R. Squire. (1999). Relaxing decision criteria does not improve recognition memory in amnesic patients. Memory & Cognition. 27(3). 501–511. 12 indexed citations
20.
Reber, Paul J. & Kenneth Kotovsky. (1997). Implicit learning in problem solving: The role of working memory capacity.. Journal of Experimental Psychology General. 126(2). 178–203. 53 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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