Mark Kohn

967 total citations
8 papers, 771 citations indexed

About

Mark Kohn is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Mark Kohn has authored 8 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Mark Kohn's work include Medical Imaging Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mark Kohn is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mark Kohn collaborates with scholars based in United States and Japan. Mark Kohn's co-authors include Ruben C. Gur, P. David Mozley, Susan M. Resnick, Nipul Tanna, R A Zimmerman, Gábor T. Herman, Robert L. Grossman, Gary Gottlieb, Robert A. Zimmerman and Susan J. Atlas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Radiology and Schizophrenia Research.

In The Last Decade

Mark Kohn

7 papers receiving 743 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Kohn United States	6	353	271	179	117	90	8	771
R. Kikinis United States	9	390 1.1×	278 1.0×	229 1.3×	145 1.2×	72 0.8×	21	986
Jean‐Paul Armspach France	18	257 0.7×	248 0.9×	197 1.1×	167 1.4×	112 1.2×	48	960
Camellia P. Clark United States	14	232 0.7×	530 2.0×	77 0.4×	101 0.9×	76 0.8×	20	1.1k
Robert Donnino United States	16	454 1.3×	224 0.8×	143 0.8×	116 1.0×	212 2.4×	50	1.2k
Rik Stokking Netherlands	16	355 1.0×	304 1.1×	308 1.7×	230 2.0×	38 0.4×	28	1.1k
Adrian R. Groves United Kingdom	12	701 2.0×	602 2.2×	125 0.7×	105 0.9×	46 0.5×	15	1.3k
Marie‐Louise Montandon Switzerland	18	726 2.1×	192 0.7×	147 0.8×	59 0.5×	85 0.9×	52	1.1k
Benjamin Kandel United States	10	333 0.9×	294 1.1×	179 1.0×	197 1.7×	117 1.3×	11	855
Anil Rao United Kingdom	13	588 1.7×	402 1.5×	249 1.4×	94 0.8×	226 2.5×	19	1.1k
Seongho Seo South Korea	18	505 1.4×	143 0.5×	207 1.2×	80 0.7×	152 1.7×	53	1.0k

Countries citing papers authored by Mark Kohn

Since Specialization

Citations

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

Fields of papers citing papers by Mark Kohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kohn

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Kohn. A scholar is included among the top collaborators of Mark Kohn 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 Mark Kohn. Mark Kohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Gagnon, James A., et al.. (2020). Adherence Measurement and Incidence of Bleeding and Systemic Embolism with Dabigatran in a Medicaid Population. University of Massachusetts (UMass) Chan Medical School.

2.

Megalooikonomou, Vasileios, et al.. (2011). Classification of texture patterns in CT lung imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 796336–796336. 5 indexed citations

3.

Gopez, Angela, et al.. (2006). Distal intersection tenosynovitis of the wrist: a lesser-known extensor tendinopathy with characteristic MR imaging features. Skeletal Radiology. 36(3). 203–208. 30 indexed citations

4.

Herman, Gábor T., Mark Kohn, & R.E. Gur. (2003). Computerized three-dimensional volume analysis from magnetic resonance images for characterization of brain disorders. 65–67. 2 indexed citations

5.

Mozley, P. David, Raquel E. Gur, Susan M. Resnick, et al.. (1994). Magnetic resonance imaging in schizophrenia: relationship with clinical measures. Schizophrenia Research. 12(3). 195–203. 25 indexed citations

6.

Gur, Ruben C., P. David Mozley, Susan M. Resnick, et al.. (1991). Gender differences in age effect on brain atrophy measured by magnetic resonance imaging.. Proceedings of the National Academy of Sciences. 88(7). 2845–2849. 368 indexed citations

7.

Kohn, Mark, Nipul Tanna, Susan M. Resnick, et al.. (1991). Analysis of brain and cerebrospinal fluid volumes with MR imaging. Part I. Methods, reliability, and validation.. Radiology. 178(1). 115–122. 228 indexed citations

8.

Tanna, Nipul, et al.. (1991). Analysis of brain and cerebrospinal fluid volumes with MR imaging: impact on PET data correction for atrophy. Part II. Aging and Alzheimer dementia.. Radiology. 178(1). 123–130. 113 indexed citations

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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