S.G. Kohlmyer

2.1k citations
44 papers · 1.7k indexed · h-index 17
Topics
Medical Imaging Techniques and Applications (35 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Radiation Detection and Scintillator Technologies (15 papers)

In The Last Decade

S.G. Kohlmyer

41 papers receiving 1.6k citations

Peers

S.G. Kohlmyer
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Radiation 592
  • Biomedical Engineering 483
  • Pulmonary and Respiratory Medicine 333
  • Cancer Research 94
Replace C.W. Stearns with:
C.W. Stearns United States
F. Lamare France
L. Byars United States
Bruce H. Hasegawa United States
Sebastian Fürst Germany
Bjoern Jakoby United Kingdom
D.J. Kadrmas United States
Maria A. Schmidt United Kingdom
Nicolas A. Karakatsanis United States
Jani Keyriläinen Finland
S.G. Kohlmyer relative to C.W. Stearns United States C.W. Stearns's profile →
Citations per field
00.5×1.5×
C.W. Stearns · 1×
Citations per year

Countries citing papers authored by S.G. Kohlmyer

Since Specialization
Citations

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

Fields of papers citing papers by S.G. Kohlmyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.G. Kohlmyer. 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 S.G. Kohlmyer. The network helps show where S.G. Kohlmyer may publish in the future.

Co-authorship network of co-authors of S.G. Kohlmyer

This figure shows the co-authorship network connecting the top 25 collaborators of S.G. Kohlmyer. A scholar is included among the top collaborators of S.G. Kohlmyer 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 S.G. Kohlmyer. S.G. Kohlmyer 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 0
2 2
3 3
4 35
5 54
6 17
7 177
8
Quiescent phase respiratory gating for PET/CT
1
9 0
10 83
11 4
12
4D PET temporal smoothing with respiratory induced Fourier filter (RIFF)
3
13 0
14 2
15 5
16 5
17 12
18 10
19 125
20 8

About S.G. Kohlmyer

S.G. Kohlmyer is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Radiation Detection and Scintillator Technologies (15 papers). The work is most often cited by research in Radiation (592 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Biomedical Engineering (483 citations). S.G. Kohlmyer has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include C.W. Stearns, Robert S. Miyaoka, T.K. Lewellen, T.K. Lewellen, Paul E. Kinahan, Rodney A. Schmidt, Hubert Vesselle, Melissa Li, Douglas E. Wood and Eric Vallières. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging and American Journal of Roentgenology.

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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