John Bogovic

6.3k citations
42 papers · 1.3k indexed · h-index 18

Impact in

Papers in

John Bogovic

41 papers receiving 1.3k citations

Peers

John Bogovic
Comparison fields: 5 of 127
  • Structural Biology 66
  • Biophysics 154
  • Computational Mathematics 15
  • Radiology, Nuclear Medicine and Imaging 535
  • Neurology 93
Replace Lewis D. Griffin with:
Lewis D. Griffin United Kingdom
Markus Axer Germany
Matthew McAuliffe United States
Alexandra Badea United States
Etsuo A. Susaki Japan
Jingxin Nie China
Ana‐Maria Oros‐Peusquens Germany
Sakir H. Gultekin United States
Jacob Hecksher‐Sørensen Denmark
Iman Aganj United States
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Citations per field
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Lewis D. Griffin · 1×
Citations per year

Countries citing papers authored by John Bogovic

Since Specialization
Citations

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

Fields of papers citing papers by John Bogovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Bogovic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Bogovic Line = papers co-authored together John Bogovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010215
2 2021168
3 2021157
4 2010108
5 201696
6 201187
7 202059
8 201155
9 201253
10 201134
11 201533
12 202328
13 201228
14 201026
15 202225
16 201221
17 201217
18 201317
19 200812
20 201011

About John Bogovic

John Bogovic is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Artificial Intelligence, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (14 papers), Medical Image Segmentation Techniques (13 papers), Functional Brain Connectivity Studies (7 papers), Cell Image Analysis Techniques (6 papers), Fetal and Pediatric Neurological Disorders (6 papers), AI in cancer detection (4 papers) and Vestibular and auditory disorders (3 papers). The work is most often cited by research in Structural Biology (66 citations), Biophysics (154 citations), Computational Mathematics (15 citations), Radiology, Nuclear Medicine and Imaging (535 citations) and Neurology (93 citations). John Bogovic has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jerry L. Prince, Pierre‐Louis Bazin, Bennett A. Landman, Stephan Saalfeld, Dzung L. Pham, Philipp Hanslovsky, Aaron Carass, Allan M. Wong, Aubrey V. Weigel and Jennifer Lippincott‐Schwartz. Their work appears in journals such as NeuroImage, PLoS ONE, Neuroinformatics, Nature and Cell.

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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