Deborah F. Levy

21 total papers · 1.1k total citations
17 papers, 206 citations indexed

About

Deborah F. Levy is a scholar working on Cognitive Neuroscience, Rehabilitation and Developmental and Educational Psychology. According to data from OpenAlex, Deborah F. Levy has authored 17 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 4 papers in Rehabilitation and 4 papers in Developmental and Educational Psychology. Recurrent topics in Deborah F. Levy's work include Neurobiology of Language and Bilingualism (13 papers), Stroke Rehabilitation and Recovery (4 papers) and Neural dynamics and brain function (4 papers). Deborah F. Levy is often cited by papers focused on Neurobiology of Language and Bilingualism (13 papers), Stroke Rehabilitation and Recovery (4 papers) and Neural dynamics and brain function (4 papers). Deborah F. Levy collaborates with scholars based in United States, Australia and Pakistan. Deborah F. Levy's co-authors include Stephen M. Wilson, Edward F. Chang, Alexander B. Silva, Lingyun Zhao, Terri L. Scott, Jessie R. Liu, Sarah M. Schneck, Michael de Riesthal, Emma Willey and L. Taylor Davis and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Deborah F. Levy

15 papers receiving 204 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Deborah F. Levy	158	46	33	26	23	17	206
Sarah M. Schneck	219 1.4×	64 1.4×	17 0.5×	19 0.7×	33 1.4×	12	249
Sara B. Pillay	216 1.4×	99 2.2×	51 1.5×	13 0.5×	25 1.1×	12	243
Silvia Primativo	144 0.9×	53 1.2×	23 0.7×	28 1.1×	37 1.6×	25	272
Simone Gazzellini	146 0.9×	30 0.7×	38 1.2×	11 0.4×	54 2.3×	20	254
Cristina Green	181 1.1×	44 1.0×	32 1.0×	42 1.6×	34 1.5×	9	279
Diego L. Lorca‐Puls	245 1.6×	38 0.8×	20 0.6×	26 1.0×	77 3.3×	16	292
Nicholas Riccardi	135 0.9×	32 0.7×	57 1.7×	11 0.4×	21 0.9×	25	206
Sonia Montemurro	176 1.1×	22 0.5×	44 1.3×	20 0.8×	12 0.5×	29	268
Reem S. W. Alyahya	221 1.4×	107 2.3×	31 0.9×	8 0.3×	24 1.0×	17	261
Sarah F. Snider	254 1.6×	95 2.1×	40 1.2×	13 0.5×	10 0.4×	26	275

Countries citing papers authored by Deborah F. Levy

Since Specialization

Citations

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

Fields of papers citing papers by Deborah F. Levy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah F. Levy

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

All Works

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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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