C. Marshall

28 papers receiving 420 citations

Peers

C. Marshall
Comparison fields: 5 of 104
  • Management Information Systems 87
  • Software 29
  • Information Systems 89
  • Nuclear and High Energy Physics 45
  • Industrial and Manufacturing Engineering 31
Replace Mark Lutz with:
Mark Lutz Germany
Anna‐Lena Lamprecht Netherlands
J. F. Qiu China
John Graham-Cumming United Kingdom
Rex Jaeschke
Joanne Wendelberger United States
John P. Morrison Ireland
B. J. K. Evans Australia
Julian Kunkel Germany
M. A. Nieto‐Santisteban United States
C. Marshall relative to Mark Lutz Germany Mark Lutz's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. Marshall

Since Specialization
Citations

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

Fields of papers citing papers by C. Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Marshall, 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 C. Marshall Line = papers co-authored together C. Marshall 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
Enterprise modeling with UML: designing successful software through business analysis
200085
2 202046
3 199245
4
Enterprise modeling with UML
199941
5 201836
6 200735
7 199224
8 202022
9 201820
10 200914
11 200613
12 199211
13 201911
14 202010
15 20198
16 19908
17 19928
18 20244
19 20213
20 20242

About C. Marshall

C. Marshall is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Radiation, having authored 31 papers that have together received 458 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Atomic and Subatomic Physics Research (3 papers), Radiation Detection and Scintillator Technologies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Machine Learning in Materials Science (3 papers), Optical measurement and interference techniques (2 papers), Business Process Modeling and Analysis (2 papers) and Neutrino Physics Research (2 papers). The work is most often cited by research in Management Information Systems (87 citations), Software (29 citations), Information Systems (89 citations), Nuclear and High Energy Physics (45 citations) and Industrial and Manufacturing Engineering (31 citations). C. Marshall has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include A. Peter Johnson, Paul Taylor, Zhongxu Hu, Robert Bicker, Philip N. Judson, K. S. McFarland, C. Wilkinson, Emma McIntosh, Martin J. Westgate and Neal Haddaway. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Dermatology and Therapy, Optics and Lasers in Engineering, Behaviour and Information Technology and The International Journal of Advanced Manufacturing Technology.

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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