Jaclyn M. Williams

14 total papers · 463 total citations
7 papers, 305 citations indexed

About

Jaclyn M. Williams is a scholar working on Sociology and Political Science, Neuropsychology and Physiological Psychology and Health. According to data from OpenAlex, Jaclyn M. Williams has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 2 papers in Neuropsychology and Physiological Psychology and 2 papers in Health. Recurrent topics in Jaclyn M. Williams's work include Aging and Gerontology Research (2 papers), Health disparities and outcomes (2 papers) and EEG and Brain-Computer Interfaces (1 paper). Jaclyn M. Williams is often cited by papers focused on Aging and Gerontology Research (2 papers), Health disparities and outcomes (2 papers) and EEG and Brain-Computer Interfaces (1 paper). Jaclyn M. Williams collaborates with scholars based in United States, South Korea and United Kingdom. Jaclyn M. Williams's co-authors include Matthew O. Howard, Eron G. Manusov, Brett Froeliger, Eric L. Garland, Amber Kelly, Eunyoung Lee, Thomas E. Smith, Lisa S. Panisch, Shamika Ravi and F. Hassanyeh and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Personality and Individual Differences and The International Journal of Aging and Human Development.

In The Last Decade

Jaclyn M. Williams

6 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Jaclyn M. Williams	187	115	92	72	59	7	305
Carter E. Bedford	165 0.9×	74 0.6×	58 0.6×	44 0.6×	36 0.6×	15	264
Ana I. Masedo	115 0.6×	53 0.5×	144 1.6×	22 0.3×	64 1.1×	7	341
Denise Beasley	250 1.3×	82 0.7×	89 1.0×	16 0.2×	70 1.2×	6	356
JAMES A. BRAITH	124 0.7×	97 0.8×	126 1.4×	17 0.2×	83 1.4×	9	330
Rebecca Small	123 0.7×	31 0.3×	109 1.2×	28 0.4×	45 0.8×	8	287
Julie K. Cremeans‐Smith	64 0.3×	73 0.6×	74 0.8×	20 0.3×	41 0.7×	15	336
Nicholas W. Carrellas	113 0.6×	41 0.4×	42 0.5×	89 1.2×	75 1.3×	17	343
Sussie Eshun	181 1.0×	55 0.5×	62 0.7×	15 0.2×	37 0.6×	10	341
Angelo Belardi	123 0.7×	60 0.5×	50 0.5×	26 0.4×	52 0.9×	13	324
Nitigna Desai	105 0.6×	52 0.5×	44 0.5×	36 0.5×	43 0.7×	7	292

Countries citing papers authored by Jaclyn M. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Jaclyn M. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaclyn M. Williams. 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 Jaclyn M. Williams. The network helps show where Jaclyn M. Williams may publish in the future.

Co-authorship network of co-authors of Jaclyn M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Jaclyn M. Williams. A scholar is included among the top collaborators of Jaclyn M. Williams 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 Jaclyn M. Williams. Jaclyn M. Williams 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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