Neal Kaufman

37 total papers · 790 total citations
24 papers, 497 citations indexed

About

Neal Kaufman is a scholar working on General Health Professions, Endocrinology, Diabetes and Metabolism and Applied Psychology. According to data from OpenAlex, Neal Kaufman has authored 24 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Health Professions, 14 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Applied Psychology. Recurrent topics in Neal Kaufman's work include Mobile Health and mHealth Applications (17 papers), Diabetes Management and Education (10 papers) and Diabetes Management and Research (10 papers). Neal Kaufman is often cited by papers focused on Mobile Health and mHealth Applications (17 papers), Diabetes Management and Education (10 papers) and Diabetes Management and Research (10 papers). Neal Kaufman collaborates with scholars based in United States, Israel and South Africa. Neal Kaufman's co-authors include Maryam Dadashi, Sudhir Anand, Mary Jane Rotheram‐Borus, W. Scott Comulada, Mark Tomlinson, Robert M. Smith, Francine Kaufman, Mary Halvorson, Melissa Plegue and Ananda Sen and has published in prestigious journals such as The Journal of Pediatrics, Journal of Medical Internet Research and Diabetes Research and Clinical Practice.

In The Last Decade

Neal Kaufman

21 papers receiving 455 citations

Author Peers

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

Author						Papers	Cites
Neal Kaufman	235	194	76	65	61	24	497
Rongzi Shan	235 1.0×	119 0.6×	69 0.9×	73 1.1×	18 0.3×	20	574
Jean Triscott	162 0.7×	67 0.3×	110 1.4×	105 1.6×	15 0.2×	28	576
Osnat C. Melamed	122 0.5×	44 0.2×	88 1.2×	79 1.2×	12 0.2×	49	489
Shelley Stoll	191 0.8×	45 0.2×	35 0.5×	49 0.8×	16 0.3×	29	600
Paul Varghese	90 0.4×	25 0.1×	120 1.6×	73 1.1×	72 1.2×	35	553
Hassan Eftekhar Ardebili	96 0.4×	22 0.1×	86 1.1×	61 0.9×	42 0.7×	19	555
Justine Baron	228 1.0×	120 0.6×	63 0.8×	75 1.2×	14 0.2×	19	483
Arun Kandasamy	60 0.3×	33 0.2×	119 1.6×	132 2.0×	31 0.5×	50	527
Hema Madhuri Mekala	92 0.4×	26 0.1×	37 0.5×	73 1.1×	33 0.5×	19	568
Todd C. Campbell	183 0.8×	33 0.2×	38 0.5×	127 2.0×	14 0.2×	17	462

Countries citing papers authored by Neal Kaufman

Since Specialization

Citations

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

Fields of papers citing papers by Neal Kaufman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Kaufman

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