Matthew Brown

50 total papers · 1.2k total citations
25 papers, 402 citations indexed

About

Matthew Brown is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Matthew Brown has authored 25 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Surgery. Recurrent topics in Matthew Brown's work include Advanced Vision and Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Bladder and Urothelial Cancer Treatments (3 papers). Matthew Brown is often cited by papers focused on Advanced Vision and Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Bladder and Urothelial Cancer Treatments (3 papers). Matthew Brown collaborates with scholars based in Australia, United Kingdom and United States. Matthew Brown's co-authors include Gil Wernovsky, Stuart Berger, Kathy A. Mussatto, Dickon Hayne, Ben Challacombe, Jonathan Lindquist, Maria Pantelidou, Konstantinos Katsanos, P Pollintine and Jin Luo and has published in prestigious journals such as Spine, European Urology and British Journal of Urology.

In The Last Decade

Matthew Brown

24 papers receiving 395 citations

Author Peers

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

Author						Papers	Cites
Matthew Brown	164	141	73	64	63	25	402
Jan Van Keer	129 0.8×	57 0.4×	54 0.7×	68 1.1×	37 0.6×	30	384
M Alonzo	254 1.5×	166 1.2×	78 1.1×	20 0.3×	23 0.4×	19	414
Demosthenes D. Cokkinos	147 0.9×	129 0.9×	24 0.3×	96 1.5×	36 0.6×	25	410
Mohammad Helmy	103 0.6×	118 0.8×	56 0.8×	43 0.7×	32 0.5×	22	343
Constantin Marschner	95 0.6×	112 0.8×	60 0.8×	53 0.8×	49 0.8×	36	350
Fu‐shun Pan	143 0.9×	119 0.8×	58 0.8×	39 0.6×	36 0.6×	27	360
Joseph A. Graversen	214 1.3×	184 1.3×	73 1.0×	29 0.5×	131 2.1×	21	411
Cheng-Hua Huang	98 0.6×	135 1.0×	58 0.8×	60 0.9×	13 0.2×	24	416
Drew Cutler	116 0.7×	87 0.6×	41 0.6×	52 0.8×	29 0.5×	21	377
B.S.I. Montgomery	112 0.7×	148 1.0×	55 0.8×	27 0.4×	27 0.4×	22	336

Countries citing papers authored by Matthew Brown

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Brown

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