Martin Schwartz

518 citations
21 papers · 356 indexed · h-index 10

Martin Schwartz

21 papers receiving 348 citations

Peers

Martin Schwartz
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 176
  • Statistical and Nonlinear Physics 74
  • Radiation 17
  • Computer Vision and Pattern Recognition 34
  • Communication 11
Replace Sooyeul Lee with:
Sooyeul Lee South Korea
Rosa Sicilia Italy
Przemysław Waliszewski Poland
O. Lange United States
Ivan Ezhov Germany
Gan Qin China
Kevin Zhou United States
G. James Blaine United States
Bo-Lun Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Martin Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20223
3 20221
4 202030
5 202012
6 20191
7 201837
8 201813
9 20185
10 20182
11
Feasibility of real-time surface electromyographytriggered diffusion-weighted imaging for prospective imaging of spontaneous unintentional focal muscular motion in human calf musculature
20172
12 201716
13 20173
14 201753
15 201630
16 200915
17 20095
18 200888
19
Sigmoidovaginal fistulae due to diverticular disease. Two case reports and an update.
19784
20
Radionuclide angiography with 99mTc-labeled red blood cells for the detection of aortic aneurysm.
19744

About Martin Schwartz

Martin Schwartz is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Computer Science Applications, having authored 21 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (3 papers), Atomic and Subatomic Physics Research (3 papers), Muscle activation and electromyography studies (3 papers), Sports injuries and prevention (3 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (176 citations), Statistical and Nonlinear Physics (74 citations) and Radiation (17 citations). Martin Schwartz has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Sune Lehmann, Lars Kai Hansen, Fritz Schick, Petros Martirosian, Thomas Küstner, Bin Yang, Sergios Gatidis, Konstantin Nikolaou, Ferdinand Seith and Nina F. Schwenzer. Their work appears in journals such as Radiology, Magnetic Resonance in Medicine and Journal of Magnetic Resonance Imaging.

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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