Jaime Farley

17 total papers · 563 total citations
11 papers, 438 citations indexed

About

Jaime Farley is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Oncology. According to data from OpenAlex, Jaime Farley has authored 11 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Modeling and Simulation and 2 papers in Oncology. Recurrent topics in Jaime Farley's work include MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Mathematical Biology Tumor Growth (3 papers). Jaime Farley is often cited by papers focused on MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Mathematical Biology Tumor Growth (3 papers). Jaime Farley collaborates with scholars based in United States. Jaime Farley's co-authors include Vandana G. Abramson, Lori R. Arlinghaus, Thomas E. Yankeelov, A. Bapsi Chakravarthy, Ingrid A. Mayer, Ana M. Grau, Ingrid M. Meszoely, Mark C. Kelley, Richard G. Abramson and Melinda E. Sanders and has published in prestigious journals such as Journal of Clinical Oncology, Magnetic Resonance in Medicine and Physics in Medicine and Biology.

In The Last Decade

Jaime Farley

11 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Jaime Farley	386	78	40	39	33	11	438
Sonia P. Li	342 0.9×	73 0.9×	6 0.1×	27 0.7×	5 0.2×	8	386
Behnaz Abdollahi	204 0.5×	49 0.6×	13 0.3×	136 3.5×	155 4.7×	12	473
Taryar Zaw	283 0.7×	47 0.6×	6 0.1×	12 0.3×	6 0.2×	11	405
Edith Lorenz	127 0.3×	183 2.3×	5 0.1×	117 3.0×	15 0.5×	13	369
Robert Lucht	428 1.1×	13 0.2×	7 0.2×	10 0.3×	78 2.4×	18	485
Turid Torheim	284 0.7×	26 0.3×	4 0.1×	30 0.8×	67 2.0×	16	447
Guan-Hua Su	170 0.4×	79 1.0×	3 0.1×	101 2.6×	51 1.5×	13	381
Mishka Gidwani	312 0.8×	27 0.3×	4 0.1×	65 1.7×	142 4.3×	7	472
D. Bedekar	340 0.9×	25 0.3×	8 0.2×	14 0.4×	3 0.1×	8	398
Ali Morshid	133 0.3×	68 0.9×	2 0.1×	51 1.3×	22 0.7×	15	387

Countries citing papers authored by Jaime Farley

Since Specialization

Citations

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

Fields of papers citing papers by Jaime Farley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Farley

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