Marc Klasky

28 papers receiving 407 citations

Peers

Marc Klasky
Comparison fields: 5 of 72
  • Metals and Alloys 23
  • Radiation 35
  • Radiology, Nuclear Medicine and Imaging 82
  • Materials Chemistry 182
  • Civil and Structural Engineering 79
Replace Sheng Wang with:
Sheng Wang China
Byung Gi Park South Korea
Lingxia Chen China
Haruto NAKAMURA Japan
L. Sedano Spain
David R. Hull United States
Nouf Almousa Saudi Arabia
Konstantinos Karalis Switzerland
Kazunari Katayama Japan
Elias Baltic United States
Marc Klasky relative to Sheng Wang China Sheng Wang's profile →
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Citations per year

Countries citing papers authored by Marc Klasky

Since Specialization
Citations

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

Fields of papers citing papers by Marc Klasky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Klasky, 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 Marc Klasky Line = papers co-authored together Marc Klasky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008209
2 202361
3 200531
4 200721
5 202317
6 20229
7 20168
8 20236
9 20225
10 20224
11 19904
12 20234
13 20234
14 20243
15 20213
16 20243
17 20173
18 20193
19 20233
20 20242

About Marc Klasky

Marc Klasky is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Radiation, having authored 31 papers that have together received 414 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Advanced X-ray and CT Imaging (8 papers), Advanced MRI Techniques and Applications (7 papers), Seismic Imaging and Inversion Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Laser-Plasma Interactions and Diagnostics (4 papers), Magnetic confinement fusion research (4 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Metals and Alloys (23 citations), Radiation (35 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Materials Chemistry (182 citations) and Civil and Structural Engineering (79 citations). Marc Klasky has collaborated with scholars based in United States and South Korea. Frequent co-authors include Bruce Letellier, Jinsuo Zhang, Michael T. McCann, Dohoon Ryu, Hyungjin Chung, Jong Chul Ye, Robert W. Ashcraft, Sumathy Raman, Yoram Bresler and Saiprasad Ravishankar. Their work appears in journals such as IEEE Transactions on Computational Imaging, Optics Express, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Scientific Reports and Journal of Computational Physics.

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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