Daniel A. Levy

2.0k total citations
63 papers, 1.3k citations indexed

About

Daniel A. Levy is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Daniel A. Levy has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 7 papers in Developmental and Educational Psychology. Recurrent topics in Daniel A. Levy's work include Memory and Neural Mechanisms (30 papers), Memory Processes and Influences (27 papers) and Neural and Behavioral Psychology Studies (16 papers). Daniel A. Levy is often cited by papers focused on Memory and Neural Mechanisms (30 papers), Memory Processes and Influences (27 papers) and Neural and Behavioral Psychology Studies (16 papers). Daniel A. Levy collaborates with scholars based in Israel, United States and United Kingdom. Daniel A. Levy's co-authors include Larry R. Squire, Roni Tibon, Shlomo Bentin, Roni Granot, Yael Shrager, Ramona O. Hopkins, Nachum Soroker, Peter J. Bayley, Hadas Erel and Craig E.L. Stark and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Daniel A. Levy

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Levy Israel 22 1.2k 239 156 146 135 63 1.3k
Anne‐Lise Paradis France 17 983 0.8× 179 0.7× 130 0.8× 146 1.0× 87 0.6× 34 1.4k
Laurent Hugueville France 19 1.4k 1.2× 346 1.4× 128 0.8× 302 2.1× 100 0.7× 43 1.6k
Christoph Bledowski Germany 18 1.6k 1.3× 253 1.1× 71 0.5× 127 0.9× 75 0.6× 35 1.8k
Ayelet N. Landau Israel 18 1.2k 1.0× 277 1.2× 131 0.8× 104 0.7× 104 0.8× 48 1.4k
J Schwaiger Austria 9 1.8k 1.5× 208 0.9× 209 1.3× 139 1.0× 108 0.8× 9 2.0k
Yi Du China 15 861 0.7× 293 1.2× 136 0.9× 103 0.7× 69 0.5× 46 1.2k
Gustavo Rohenkohl United Kingdom 20 1.6k 1.4× 425 1.8× 141 0.9× 155 1.1× 89 0.7× 32 1.8k
Manuel Mercier France 20 1.1k 1.0× 424 1.8× 126 0.8× 139 1.0× 46 0.3× 38 1.3k
Carlo Sestieri Italy 24 1.8k 1.5× 381 1.6× 116 0.7× 185 1.3× 128 0.9× 70 2.1k
Shlomit Yuval‐Greenberg Israel 15 1.4k 1.2× 294 1.2× 176 1.1× 90 0.6× 53 0.4× 35 1.6k

Countries citing papers authored by Daniel A. Levy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Levy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Levy. A scholar is included among the top collaborators of Daniel A. Levy 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 Daniel A. Levy. Daniel A. Levy 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.
Levy, Daniel A., et al.. (2025). The role of post-learning EEG theta/beta ratio in long-term navigation performance. Neurobiology of Learning and Memory. 220. 108076–108076.
2.
Barzilay, Ran, et al.. (2025). Theta Stimulation Enhances Early Consolidation of Semantic Memory. Journal of Cognitive Neuroscience. 37(9). 1496–1510.
3.
Xue, Gui, et al.. (2024). Texture and visual memory span capacities are dissociable. Acta Psychologica. 250. 104525–104525.
4.
Levy, Daniel A., et al.. (2024). Reconsidering thought suppression and ironic processing: implications for clinical treatment of traumatic memories. Frontiers in Psychology. 15. 1496134–1496134.
5.
Peleg, O., Pom Charras, Vsevolod Peysakhovich, et al.. (2024). Getting oriented: Redefining attention deficits in Parkinson’s disease.. Neuropsychology. 38(8). 749–762.
6.
Soroker, Nachum, et al.. (2023). Lesion-behavior mapping indicates a strategic role for parietal substrates of associative memory. Cortex. 167. 148–166. 2 indexed citations
7.
Mendelsohn, Avi, et al.. (2023). Theta EEG neurofeedback promotes early consolidation of real life-like episodic memory. Cognitive Affective & Behavioral Neuroscience. 23(6). 1473–1481. 5 indexed citations
8.
Levy, Daniel A.. (2022). Optimizing the social utility of judicial punishment: An evolutionary biology and neuroscience perspective. Frontiers in Human Neuroscience. 16. 967090–967090.
9.
Delhaye, Emma, Roni Tibon, Nurit Gronau, Daniel A. Levy, & Christine Bastin. (2017). Misrecollection prevents older adults from benefitting from semantic relatedness of the memoranda in associative memory. Aging Neuropsychology and Cognition. 25(5). 634–654. 16 indexed citations
10.
Tibon, Roni & Daniel A. Levy. (2015). Striking a balance: analyzing unbalanced event-related potential data. Frontiers in Psychology. 6. 555–555. 36 indexed citations
11.
Tibon, Roni & Daniel A. Levy. (2013). The time course of episodic associative retrieval: Electrophysiological correlates of cued recall of unimodal and crossmodal pair-associate learning. Cognitive Affective & Behavioral Neuroscience. 14(1). 220–235. 18 indexed citations
12.
Levy, Daniel A.. (2012). Towards an understanding of parietal mnemonic processes: some conceptual guideposts. Frontiers in Integrative Neuroscience. 6. 41–41. 31 indexed citations
13.
Vakil, Eli, et al.. (2010). Probing the Brain Substrates of Cognitive Processes Responsible for Context Effects on Recognition Memory. Aging Neuropsychology and Cognition. 17(5). 519–544. 12 indexed citations
14.
Shrager, Yael, Daniel A. Levy, Ramona O. Hopkins, & Larry R. Squire. (2008). Working Memory and the Organization of Brain Systems. Journal of Neuroscience. 28(18). 4818–4822. 93 indexed citations
15.
Vakil, Eli, et al.. (2008). Conceptual and Perceptual Similarity Between Encoding and Retrieval Contexts and Recognition Memory Context Effects in Older and Younger Adults. The Journals of Gerontology Series B. 63(3). P171–P175. 8 indexed citations
16.
Haramati, Sharon, Nachum Soroker, Yadin Dudai, & Daniel A. Levy. (2007). The posterior parietal cortex in recognition memory: A neuropsychological study. Neuropsychologia. 46(7). 1756–1766. 83 indexed citations
17.
Levy, Daniel A., Craig E.L. Stark, & Larry R. Squire. (2004). Intact Conceptual Priming in the Absence of Declarative Memory. Psychological Science. 15(10). 680–686. 77 indexed citations
18.
Levy, Daniel A., Peter J. Bayley, & Larry R. Squire. (2004). The anatomy of semantic knowledge: Medial vs. lateral temporal lobe. Proceedings of the National Academy of Sciences. 101(17). 6710–6715. 94 indexed citations
19.
Gunji, Atsuko, Sachiko Koyama, Ryouhei Ishii, et al.. (2003). Magnetoencephalographic study of the cortical activity elicited by human voice. Neuroscience Letters. 348(1). 13–16. 28 indexed citations
20.
Ashkenazi, V., et al.. (1998). GNSS SAGE: SATNAV Advisory Group of Experts. 1097–1101. 1 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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