Frank J. Brooks

54 total papers · 525 total citations
22 papers, 333 citations indexed

About

Frank J. Brooks is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Frank J. Brooks has authored 22 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Frank J. Brooks's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Frank J. Brooks is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Frank J. Brooks collaborates with scholars based in United States and Ireland. Frank J. Brooks's co-authors include Perry W. Grigsby, A. E. Carlsson, Mark A. Anastasio, Jacquelyn T. Engle, Delphine L. Chen, Sharon Phillips, Richard Laforest, Rongping Zeng, Andrea Wang‐Gillam and Loren S. Michel and has published in prestigious journals such as PLoS ONE, Radiology and Biophysical Journal.

In The Last Decade

Frank J. Brooks

22 papers receiving 329 citations

Author Peers

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

Author						Papers	Cites
Frank J. Brooks	229	72	70	67	37	22	333
Hannah Horng	157 0.7×	108 1.5×	57 0.8×	36 0.5×	45 1.2×	21	307
Marta Ligero	231 1.0×	60 0.8×	90 1.3×	83 1.2×	85 2.3×	20	327
Rencheng Zheng	198 0.9×	39 0.5×	55 0.8×	48 0.7×	62 1.7×	19	305
João Santinha	204 0.9×	52 0.7×	70 1.0×	68 1.0×	55 1.5×	30	312
Sara Ahmed	242 1.1×	58 0.8×	53 0.8×	51 0.8×	40 1.1×	33	354
Seyed Mahmoud Reza Aghamiri	202 0.9×	96 1.3×	116 1.7×	39 0.6×	33 0.9×	45	391
Martijn P. A. Starmans	282 1.2×	62 0.9×	165 2.4×	48 0.7×	58 1.6×	29	392
Xia Chen	183 0.8×	37 0.5×	126 1.8×	40 0.6×	33 0.9×	26	372
Marcel Gehrung	149 0.7×	103 1.4×	59 0.8×	32 0.5×	46 1.2×	17	302
Zhongping Chen	160 0.7×	55 0.8×	58 0.8×	38 0.6×	22 0.6×	33	390

Countries citing papers authored by Frank J. Brooks

Since Specialization

Citations

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

Fields of papers citing papers by Frank J. Brooks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank J. Brooks. 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 Frank J. Brooks. The network helps show where Frank J. Brooks may publish in the future.

Co-authorship network of co-authors of Frank J. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Brooks. A scholar is included among the top collaborators of Frank J. Brooks 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 Frank J. Brooks. Frank J. Brooks 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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