Carol Sacchett

24 total papers · 472 total citations
12 papers, 311 citations indexed

About

Carol Sacchett is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Rehabilitation. According to data from OpenAlex, Carol Sacchett has authored 12 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Developmental and Educational Psychology and 3 papers in Rehabilitation. Recurrent topics in Carol Sacchett's work include Neurobiology of Language and Bilingualism (7 papers), Stroke Rehabilitation and Recovery (3 papers) and Language, Metaphor, and Cognition (3 papers). Carol Sacchett is often cited by papers focused on Neurobiology of Language and Bilingualism (7 papers), Stroke Rehabilitation and Recovery (3 papers) and Language, Metaphor, and Cognition (3 papers). Carol Sacchett collaborates with scholars based in United Kingdom, United States and South Korea. Carol Sacchett's co-authors include Glyn W. Humphreys, Jane Marshall, Carole Pound, Sally Byng, Jacqueline McIntosh, Maria Black, Wendy Best, Suzanne Beeke and Jane E. Warren and has published in prestigious journals such as International Journal of Human-Computer Studies, Clinical Rehabilitation and Cognitive Neuropsychology.

In The Last Decade

Carol Sacchett

10 papers receiving 287 citations

Author Peers

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

Author						Papers	Cites
Carol Sacchett	256	103	103	78	35	12	311
Carl Ludy	250 1.0×	58 0.6×	123 1.2×	64 0.8×	37 1.1×	7	328
Virginia Maria Borsa	257 1.0×	61 0.6×	136 1.3×	106 1.4×	82 2.3×	17	345
L. S. Tsvetkova	262 1.0×	70 0.7×	67 0.7×	47 0.6×	30 0.9×	18	347
Alice Thacker	143 0.6×	66 0.6×	171 1.7×	80 1.0×	30 0.9×	10	285
Sharon M. Antonucci	299 1.2×	59 0.6×	129 1.3×	43 0.6×	73 2.1×	15	345
Steven P. Cercy	129 0.5×	47 0.5×	67 0.7×	44 0.6×	77 2.2×	12	315
Bart Aben	208 0.8×	25 0.2×	54 0.5×	99 1.3×	23 0.7×	13	324
Ralf Glindemann	199 0.8×	136 1.3×	66 0.6×	33 0.4×	23 0.7×	16	241
I Voinescu	241 0.9×	20 0.2×	137 1.3×	35 0.4×	70 2.0×	17	352
Lisa Finkel	233 0.9×	83 0.8×	120 1.2×	34 0.4×	26 0.7×	14	289

Countries citing papers authored by Carol Sacchett

Since Specialization

Citations

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

Fields of papers citing papers by Carol Sacchett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Sacchett

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Sacchett. A scholar is included among the top collaborators of Carol Sacchett 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 Sacchett. Carol Sacchett 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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