Jeffrey S. Freeman

63 total papers · 750 total citations
48 papers, 542 citations indexed

About

Jeffrey S. Freeman is a scholar working on Endocrinology, Diabetes and Metabolism, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Jeffrey S. Freeman has authored 48 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Automotive Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Jeffrey S. Freeman's work include Diabetes Treatment and Management (24 papers), Diabetes Management and Research (18 papers) and Vehicle Dynamics and Control Systems (9 papers). Jeffrey S. Freeman is often cited by papers focused on Diabetes Treatment and Management (24 papers), Diabetes Management and Research (18 papers) and Vehicle Dynamics and Control Systems (9 papers). Jeffrey S. Freeman collaborates with scholars based in United States, Russia and South Korea. Jeffrey S. Freeman's co-authors include Radu Serban, Laurence Kennedy, Corina Sandu, Jon G. Kuhl, G. S. Watson, David M. Capuzzi, James R. Gavin, Richard Romano, Steven A. Velinsky and Dan Negruţ and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mayo Clinic Proceedings and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Jeffrey S. Freeman

46 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Jeffrey S. Freeman	240	102	102	100	93	48	542
Anders Ågren	82 0.3×	17 0.2×	103 1.0×	55 0.6×	80 0.9×	77	579
Évelyne Aubry	48 0.2×	42 0.4×	30 0.3×	82 0.8×	136 1.5×	41	498
Shan Lu	57 0.2×	106 1.0×	20 0.2×	67 0.7×	53 0.6×	59	467
Jianlin Tang	84 0.3×	16 0.2×	35 0.3×	28 0.3×	103 1.1×	28	475
Tengfei Yuan	40 0.2×	111 1.1×	12 0.1×	51 0.5×	56 0.6×	56	571
Federico Di Palma	283 1.2×	96 0.9×	253 2.5×	16 0.2×	14 0.2×	32	560
Yi Yan	40 0.2×	50 0.5×	30 0.3×	83 0.8×	48 0.5×	42	497
Jie Rong	34 0.1×	47 0.5×	19 0.2×	48 0.5×	129 1.4×	44	485
Yuki Arai	70 0.3×	40 0.4×	162 1.6×	18 0.2×	66 0.7×	54	486
Yinong Zhang	47 0.2×	56 0.5×	9 0.1×	79 0.8×	80 0.9×	37	489

Countries citing papers authored by Jeffrey S. Freeman

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey S. Freeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Freeman. 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 Jeffrey S. Freeman. The network helps show where Jeffrey S. Freeman may publish in the future.

Co-authorship network of co-authors of Jeffrey S. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Freeman. A scholar is included among the top collaborators of Jeffrey S. Freeman 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 Jeffrey S. Freeman. Jeffrey S. Freeman 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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