John W. Peifer

31 total papers · 1.1k total citations
25 papers, 870 citations indexed

About

John W. Peifer is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, John W. Peifer has authored 25 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Surgery and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in John W. Peifer's work include Advanced MRI Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). John W. Peifer is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (6 papers) and Medical Image Segmentation Techniques (5 papers). John W. Peifer collaborates with scholars based in United States and Spain. John W. Peifer's co-authors include Elliot Moore, Mark A. Clements, Ernest Garcia, M. Clements, Russell D. Folks, C. David Cooke, Norberto Ezquerra, Julian J. Nussbaum, David Bogorad and Yousuf M. Khalifa and has published in prestigious journals such as Ophthalmology, The American Journal of Cardiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

John W. Peifer

24 papers receiving 817 citations

Author Peers

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

Author						Papers	Cites
John W. Peifer	379	222	198	190	118	25	870
Harsimrat Singh	145 0.4×	213 1.0×	55 0.3×	141 0.7×	86 0.7×	41	755
Félix Renard	326 0.9×	82 0.4×	64 0.3×	81 0.4×	35 0.3×	42	984
William D. O’Neill	130 0.3×	247 1.1×	25 0.1×	294 1.5×	105 0.9×	52	818
S. Laxminarayan	182 0.5×	49 0.2×	255 1.3×	77 0.4×	92 0.8×	54	940
Bilwaj Gaonkar	289 0.8×	123 0.6×	27 0.1×	161 0.8×	20 0.2×	55	1.0k
Jiayao Zhang	118 0.3×	132 0.6×	19 0.1×	224 1.2×	55 0.5×	32	835
Woei‐Chyn Chu	167 0.4×	63 0.3×	31 0.2×	248 1.3×	39 0.3×	52	899
Patrick Ward	71 0.2×	88 0.4×	58 0.3×	45 0.2×	31 0.3×	55	833
Alexander Krüger	290 0.8×	57 0.3×	91 0.5×	104 0.5×	32 0.3×	58	907
Kim K. Tan	228 0.6×	91 0.4×	39 0.2×	122 0.6×	20 0.2×	15	818

Countries citing papers authored by John W. Peifer

Since Specialization

Citations

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

Fields of papers citing papers by John W. Peifer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Peifer. 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 John W. Peifer. The network helps show where John W. Peifer may publish in the future.

Co-authorship network of co-authors of John W. Peifer

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Peifer. A scholar is included among the top collaborators of John W. Peifer 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 John W. Peifer. John W. Peifer 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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