Patricia Abbott

74 total papers · 1.3k total citations
46 papers, 793 citations indexed

About

Patricia Abbott is a scholar working on Health Information Management, General Health Professions and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Patricia Abbott has authored 46 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Health Information Management, 16 papers in General Health Professions and 8 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Patricia Abbott's work include Electronic Health Records Systems (16 papers), Mobile Health and mHealth Applications (7 papers) and Healthcare Systems and Technology (6 papers). Patricia Abbott is often cited by papers focused on Electronic Health Records Systems (16 papers), Mobile Health and mHealth Applications (7 papers) and Healthcare Systems and Technology (6 papers). Patricia Abbott collaborates with scholars based in United States, Australia and Brazil. Patricia Abbott's co-authors include Matthew B. Weinger, Robert L. Wears, Ben-Tzion Karsh, Sun‐Mi Lee, Marion J. Ball, Charlotte A. Weaver, Amy Coenen, Judith A. Effken, Mary E. Johantgen and Y Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Medical Informatics Association.

In The Last Decade

Patricia Abbott

42 papers receiving 745 citations

Author Peers

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

Author						Papers	Cites
Patricia Abbott	323	272	163	114	82	46	793
Cynthia S. Gadd	305 0.9×	262 1.0×	123 0.8×	106 0.9×	150 1.8×	32	854
Ruslana Tsurikova	349 1.1×	247 0.9×	146 0.9×	130 1.1×	44 0.5×	19	820
Shirly Bar‐Lev	345 1.1×	219 0.8×	112 0.7×	111 1.0×	70 0.9×	19	814
Zahra Niazkhani	512 1.6×	200 0.7×	159 1.0×	124 1.1×	198 2.4×	46	862
Jeffery L. Belden	288 0.9×	434 1.6×	143 0.9×	139 1.2×	29 0.4×	28	804
Natalie C. Benda	334 1.0×	374 1.4×	205 1.3×	97 0.9×	55 0.7×	78	907
‎Sima Ajami‎	285 0.9×	193 0.7×	129 0.8×	86 0.8×	57 0.7×	70	895
Philip J Kroth	337 1.0×	454 1.7×	288 1.8×	148 1.3×	78 1.0×	38	895
Jason S. Shapiro	356 1.1×	264 1.0×	122 0.7×	224 2.0×	45 0.5×	55	870
Barry H. Blumenfeld	354 1.1×	257 0.9×	152 0.9×	99 0.9×	85 1.0×	17	688

Countries citing papers authored by Patricia Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Abbott

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