Anna-Lisa Cohen

627 total citations
8 papers, 377 citations indexed

About

Anna-Lisa Cohen is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Anna-Lisa Cohen has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 2 papers in Psychiatry and Mental health. Recurrent topics in Anna-Lisa Cohen's work include Neural and Behavioral Psychology Studies (5 papers), Cognitive Functions and Memory (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Anna-Lisa Cohen is often cited by papers focused on Neural and Behavioral Psychology Studies (5 papers), Cognitive Functions and Memory (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Anna-Lisa Cohen collaborates with scholars based in United States, Canada and Germany. Anna-Lisa Cohen's co-authors include Peter M. Gollwitzer, Alexander Jaudas, Sam J. Gilbert, Gabriele Oettingen, Paul W. Burgess, Ute C. Bayer, Cindy M. de Frias, Grace A. Hopp, Roger A. Dixon and Lars Bäckman and has published in prestigious journals such as Journal of Experimental Psychology Learning Memory and Cognition, Memory & Cognition and Journal of Clinical and Experimental Neuropsychology.

In The Last Decade

Anna-Lisa Cohen

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna-Lisa Cohen United States	6	249	217	118	83	51	8	377
Ingo Aberle Germany	10	332 1.3×	187 0.9×	249 2.1×	20 0.2×	28 0.5×	11	474
Geoff B. Sorge Canada	7	93 0.4×	175 0.8×	75 0.6×	27 0.3×	41 0.8×	8	375
Xu Gong China	5	123 0.5×	87 0.4×	12 0.1×	45 0.5×	110 2.2×	12	356
Ema Tanovic United States	8	219 0.9×	161 0.7×	47 0.4×	36 0.4×	38 0.7×	9	353
Donna Bryce Germany	13	105 0.4×	271 1.2×	40 0.3×	19 0.2×	71 1.4×	28	540
Christina M. Leclerc United States	11	120 0.5×	344 1.6×	56 0.5×	22 0.3×	120 2.4×	11	523
Kimberley J. Levitt Canada	8	275 1.1×	95 0.4×	80 0.7×	34 0.4×	46 0.9×	11	377
David R. Herring United States	8	144 0.6×	202 0.9×	23 0.2×	34 0.4×	90 1.8×	10	345
Catalina Mourgues United States	11	130 0.5×	112 0.5×	33 0.3×	17 0.2×	39 0.8×	28	329

Countries citing papers authored by Anna-Lisa Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Anna-Lisa Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna-Lisa Cohen. 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 Anna-Lisa Cohen. The network helps show where Anna-Lisa Cohen may publish in the future.

Co-authorship network of co-authors of Anna-Lisa Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Anna-Lisa Cohen. A scholar is included among the top collaborators of Anna-Lisa Cohen 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 Anna-Lisa Cohen. Anna-Lisa Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Cohen, Anna-Lisa, et al.. (2017). Making if-then plans counteracts learned non-use in stroke patients: A proof-of-principle study. Restorative Neurology and Neuroscience. 35(5). 537–545. 5 indexed citations

Cohen, Anna-Lisa, et al.. (2012). The specificity of prospective memory costs. Memory. 20(8). 848–864. 26 indexed citations

Masson, Michael E. J., et al.. (2009). Long-term repetition priming of briefly identified objects.. Journal of Experimental Psychology Learning Memory and Cognition. 35(2). 487–498. 4 indexed citations

Gilbert, Sam J., Peter M. Gollwitzer, Anna-Lisa Cohen, Gabriele Oettingen, & Paul W. Burgess. (2009). Separable brain systems supporting cued versus self-initiated realization of delayed intentions.. Journal of Experimental Psychology Learning Memory and Cognition. 35(4). 905–915. 116 indexed citations

Cohen, Anna-Lisa, Alexander Jaudas, & Peter M. Gollwitzer. (2008). Number of cues influences the cost of remembering to remember. Memory & Cognition. 36(1). 149–156. 99 indexed citations

Cohen, Anna-Lisa, Ute C. Bayer, Alexander Jaudas, & Peter M. Gollwitzer. (2006). Self-regulatory strategy and executive control: implementation intentions modulate task switching and Simon task performance. Psychological Research. 72(1). 12–26. 71 indexed citations

Galambos, Nancy L., et al.. (2005). Cognitive Performance Differentiates Selected Aspects of Psychosocial Maturity in Adolescence. Developmental Neuropsychology. 28(1). 473–492. 22 indexed citations

Dixon, Roger A., Grace A. Hopp, Anna-Lisa Cohen, Cindy M. de Frias, & Lars Bäckman. (2003). Self-reported Memory Compensation: Similar Patterns in Alzheimer's Disease and Very Old Adult Samples. Journal of Clinical and Experimental Neuropsychology. 25(3). 382–390. 34 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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