C. Bowman
- Nuclear and High Energy Physics top 10%
- Magnetic confinement fusion research 11
- Laser-Plasma Interactions and Diagnostics 3
-
- Fusion materials and technologies 9
-
- Industrial Vision Systems and Defect Detection 6
-
- Superconducting Materials and Applications 4
-
- Advanced Image and Video Retrieval Techniques 4
- Image and Object Detection Techniques 3
-
- CCD and CMOS Imaging Sensors 3
C. Bowman
24 papers receiving 266 citations
Peers
Comparison fields: 5 of 40
- Nuclear and High Energy Physics 187
- Materials Chemistry 128
- Astronomy and Astrophysics 41
- Aerospace Engineering 53
- Industrial and Manufacturing Engineering 17
Countries citing papers authored by C. Bowman
This map shows the geographic impact of C. Bowman'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 C. Bowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Bowman more than expected).
Fields of papers citing papers by C. Bowman
This network shows the impact of papers produced by C. Bowman. 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 C. Bowman. The network helps show where C. Bowman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Bowman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 19 | |
| 4 | 2022 | 34 | |
| 5 | 2021 | 36 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 11 | |
| 11 | 2017 | 14 | |
| 12 | 2009 | 28 | |
| 13 | Machine Vision Sensing for Meat Processing Automation | 2007 | 1 |
| 14 | 1994 | 3 | |
| 15 | 1992 | 10 | |
| 16 | 1990 | 1 | |
| 17 | 1989 | 1 | |
| 18 | 1989 | 6 | |
| 19 | 1988 | 6 | |
| 20 | High-speed image processing for machine vision | 1986 | 0 |
About C. Bowman
C. Bowman is a scholar working on Nuclear and High Energy Physics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Materials Chemistry, having authored 25 papers that have together received 283 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (11 papers), Fusion materials and technologies (9 papers), Industrial Vision Systems and Defect Detection (6 papers), Superconducting Materials and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), CCD and CMOS Imaging Sensors (3 papers), Laser-Plasma Interactions and Diagnostics (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (187 citations), Materials Chemistry (128 citations), Astronomy and Astrophysics (41 citations), Aerospace Engineering (53 citations) and Industrial and Manufacturing Engineering (17 citations). C. Bowman has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Matthew T. Siniawski, B. Lipschultz, K. Verhaegh, J. Harrison, A. Fil, O. Myatra, M. Wensing, B.P. Duval, D.S. Gahle and D. Moulton. Their work appears in journals such as Nuclear Fusion, Plasma Physics and Controlled Fusion, Review of Scientific Instruments, Industrial Lubrication and Tribology and arXiv (Cornell University).
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.