Carol A. Seger

6.2k total citations
77 papers, 4.4k citations indexed

About

Carol A. Seger is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Carol A. Seger has authored 77 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cognitive Neuroscience, 22 papers in Developmental and Educational Psychology and 18 papers in Experimental and Cognitive Psychology. Recurrent topics in Carol A. Seger's work include Neural and Behavioral Psychology Studies (23 papers), Functional Brain Connectivity Studies (17 papers) and Memory and Neural Mechanisms (15 papers). Carol A. Seger is often cited by papers focused on Neural and Behavioral Psychology Studies (23 papers), Functional Brain Connectivity Studies (17 papers) and Memory and Neural Mechanisms (15 papers). Carol A. Seger collaborates with scholars based in United States, China and United Kingdom. Carol A. Seger's co-authors include John D. E. Gabrieli, Vivek Prabhakaran, Russell A. Poldrack, Earl K. Miller, Gary H. Glover, Gwenda L. Schmidt, John E. Desmond, Kurt Braunlich, Brian J. Spiering and Erik Peterson and has published in prestigious journals such as Journal of Neuroscience, Psychological Bulletin and PLoS ONE.

In The Last Decade

Carol A. Seger

72 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol A. Seger United States 33 3.3k 1.1k 891 819 383 77 4.4k
Melissa C. Duff United States 36 2.7k 0.8× 997 0.9× 744 0.8× 592 0.7× 415 1.1× 164 4.2k
Paul J. Reber United States 36 3.9k 1.2× 1.2k 1.1× 1.2k 1.3× 743 0.9× 436 1.1× 71 5.1k
And U. Turken United States 17 3.0k 0.9× 990 0.9× 1.2k 1.3× 937 1.1× 303 0.8× 22 4.8k
Jennifer A. Mangels United States 25 3.3k 1.0× 587 0.5× 766 0.9× 523 0.6× 605 1.6× 48 4.4k
Eliot Hazeltine United States 34 4.7k 1.4× 1.0k 0.9× 680 0.8× 1.4k 1.7× 168 0.4× 105 5.5k
Roi Cohen Kadosh United Kingdom 48 4.9k 1.5× 1.4k 1.2× 1.4k 1.6× 513 0.6× 559 1.5× 162 7.5k
Johanna Kißler Germany 36 3.8k 1.1× 569 0.5× 1.6k 1.8× 984 1.2× 164 0.4× 103 4.8k
Christian J. Fiebach Germany 43 4.3k 1.3× 1.7k 1.5× 1.2k 1.3× 693 0.8× 337 0.9× 104 5.6k
David Badre United States 33 7.2k 2.2× 1.0k 0.9× 1.3k 1.5× 930 1.1× 486 1.3× 91 8.3k
Eric H. Schumacher United States 33 4.3k 1.3× 692 0.6× 920 1.0× 715 0.9× 190 0.5× 64 5.2k

Countries citing papers authored by Carol A. Seger

Since Specialization
Citations

This map shows the geographic impact of Carol A. Seger'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 Carol A. Seger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol A. Seger more than expected).

Fields of papers citing papers by Carol A. Seger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol A. Seger. 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 Carol A. Seger. The network helps show where Carol A. Seger may publish in the future.

Co-authorship network of co-authors of Carol A. Seger

This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Seger. A scholar is included among the top collaborators of Carol A. Seger 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 Carol A. Seger. Carol A. Seger 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.
Wen, Chih-Yi, et al.. (2025). Emergence of Categorical Representations in Parietal and Ventromedial Prefrontal Cortex across Extended Training. Journal of Neuroscience. 45(9). e1315242024–e1315242024. 2 indexed citations
2.
Huang, Ling, et al.. (2023). A source for category-induced global effects of feature-based attention in human prefrontal cortex. Cell Reports. 42(9). 113080–113080. 1 indexed citations
3.
Wei, Zhen, et al.. (2023). A network perspective on cognitive function and obsessive-compulsive related symptoms. Journal of Affective Disorders. 329. 428–437.
4.
Li, Siying, et al.. (2023). Alpha oscillations encode Bayesian belief updating underlying attentional allocation in dynamic environments. NeuroImage. 284. 120464–120464. 5 indexed citations
5.
Seger, Carol A., et al.. (2023). Impairment of arbitration between model-based and model-free reinforcement learning in obsessive–compulsive disorder. Frontiers in Psychiatry. 14. 1162800–1162800. 7 indexed citations
6.
7.
Zeithamová, Dagmar, Michael L. Mack, Kurt Braunlich, et al.. (2019). Brain Mechanisms of Concept Learning. Journal of Neuroscience. 39(42). 8259–8266. 49 indexed citations
8.
Braunlich, Kurt, et al.. (2017). Occipitotemporal Category Representations Are Sensitive to Abstract Category Boundaries Defined by Generalization Demands. Journal of Neuroscience. 37(32). 7631–7642. 16 indexed citations
9.
Seger, Carol A., et al.. (2015). Correction: Seger et al., Generalization in Category Learning: The Roles of Representational and Decisional Uncertainty. Journal of Neuroscience. 35(34). 12080–12080. 1 indexed citations
10.
Rhodes, Matthew G., et al.. (2015). Evidence for the negative impact of reward on self-regulated learning. Quarterly Journal of Experimental Psychology. 68(11). 2125–2130. 6 indexed citations
11.
Braunlich, Kurt, et al.. (2015). Neural networks supporting switching, hypothesis testing, and rule application. Neuropsychologia. 77. 19–34. 30 indexed citations
12.
Ryals, Anthony J., Anne M. Cleary, & Carol A. Seger. (2012). Recall versus familiarity when recall fails for words and scenes: The differential roles of the hippocampus, perirhinal cortex, and category-specific cortical regions. Brain Research. 1492. 72–91. 7 indexed citations
13.
Lopez‐Paniagua, Dan & Carol A. Seger. (2011). Interactions within and between Corticostriatal Loops during Component Processes of Category Learning. Journal of Cognitive Neuroscience. 23(10). 3068–3083. 32 indexed citations
14.
Schmidt, Gwenda L. & Carol A. Seger. (2009). Neural correlates of metaphor processing: The roles of figurativeness, familiarity and difficulty. Brain and Cognition. 71(3). 375–386. 159 indexed citations
15.
Seger, Carol A., John E. Desmond, Gary H. Glover, & John D. E. Gabrieli. (2000). Functional magnetic resonance imaging evidence for right-hemisphere involvement in processing unusual semantic relationships.. Neuropsychology. 14(3). 361–369. 141 indexed citations
16.
Seger, Carol A., John E. Desmond, Gary H. Glover, & John D. E. Gabrieli. (2000). Functional magnetic resonance imaging evidence for right-hemisphere involvement in processing unusual semantic relationships.. Neuropsychology. 14(3). 361–369. 136 indexed citations
17.
Poldrack, Russell A., Vivek Prabhakaran, Carol A. Seger, & John D. E. Gabrieli. (1999). Striatal activation during acquisition of a cognitive skill.. Neuropsychology. 13(4). 564–574. 335 indexed citations
18.
Seger, Carol A., et al.. (1997). Preserved verb generation priming in global amnesia. Neuropsychologia. 35(8). 1069–1074. 18 indexed citations
19.
Seger, Carol A.. (1994). Criteria for implicit learning: Deemphasize conscious access, emphasize amnesia. Behavioral and Brain Sciences. 17(3). 421–422. 3 indexed citations
20.
Kosslyn, Stephen M., Carol A. Seger, John R. Pani, & Lynn A. Hillger. (1990). When is imagery used in everyday life? A diary study.. 43 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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2026