Chris Schwemmer

32 papers receiving 1.0k citations

Hit Papers

Diagnostic Accuracy of a Machine-Learning Approach to Cor...20162026201920222018201650100150200250

Peers

Chris Schwemmer
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 879
  • Surgery 475
  • Biomedical Engineering 402
  • Cardiology and Cardiovascular Medicine 391
  • Pulmonary and Respiratory Medicine 88
Replace Robbert W. van Hamersvelt with:
Robbert W. van Hamersvelt Netherlands
Max Schöebinger Germany
Soo‐Jin Kang South Korea
Marly van Assen United States
Erik Smistad Norway
Christian Tesche Germany
Alberto Gómez United Kingdom
Adriaan Coenen Netherlands
Pooyan Sahbaee United States
Ahmed S. Fahmy Egypt
Chris Schwemmer relative to Robbert W. van Hamersvelt Netherlands Robbert W. van Hamersvelt's profile →
Citations per field
00.5×2.9×
Robbert W. van Hamersvelt · 1×
Citations per year

Countries citing papers authored by Chris Schwemmer

Since Specialization
Citations

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

Fields of papers citing papers by Chris Schwemmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Schwemmer

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 5
3 1
4 4
5 2
6 16
7 4
8 13
9 1
10 3
11 26
12 170
13 11
14 33
15 6
16 12
17 74
18 12
19 21
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High-Density Object Removal from Projection Images using Low-Frequency-Based Object Masking.
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About Chris Schwemmer

Chris Schwemmer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Radiation, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (23 papers), Coronary Interventions and Diagnostics (14 papers) and Advanced X-ray and CT Imaging (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (879 citations), Health Informatics (48 citations) and Cardiology and Cardiovascular Medicine (391 citations). Chris Schwemmer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Saikiran Rapaka, Puneet Sharma, Max Schöebinger, Lucian Itu, U. Joseph Schoepf, Tiziano Passerini, Thomas Flohr, Dorin Comaniciu, Bogdan Georgescu and Christian Tesche. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

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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