Charles Fenimore

3.2k citations
41 papers · 344 indexed · h-index 11

Impact in

Papers in

Charles Fenimore

38 papers receiving 332 citations

Peers

Charles Fenimore
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 126
  • Media Technology 42
  • Computer Vision and Pattern Recognition 82
  • Signal Processing 30
  • Biophysics 16
Replace Jie Tian with:
Jie Tian China
Christian Daul France
Ravi Managuli United States
Edward Muka United States
Nicolas Normand France
W. A. Barrett United States
Adam Wunderlich United States
Charles Fenimore relative to Jie Tian China Jie Tian's profile →
Citations per field
00.5×
Jie Tian · 1×
Citations per year

Countries citing papers authored by Charles Fenimore

Since Specialization
Citations

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

Fields of papers citing papers by Charles Fenimore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201521
2 201337
3 20118
4 201013
5 200928
6 200933
7
Quantitative Imaging to Assess Tumor Response to Therapy: Common Themes of Measurement, Truth Data & Error Sources | NIST
20092
8 20076
9
Development of a Motion Imagery Quality Metric
20066
10 20058
11 20032
12 20023
13 20002
14 19951
15 19944
16 19923
17 199141
18 19910
19
A Method for Fitting and Smoothing Digital Data
19901
20 19811

About Charles Fenimore

Charles Fenimore is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing and Biophysics, having authored 41 papers that have together received 344 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (8 papers), Advanced Image Fusion Techniques (7 papers), Infrared Target Detection Methodologies (7 papers), High voltage insulation and dielectric phenomena (5 papers), Power Transformer Diagnostics and Insulation (5 papers), Image and Signal Denoising Methods (4 papers) and Electrohydrodynamics and Fluid Dynamics (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (126 citations), Media Technology (42 citations), Computer Vision and Pattern Recognition (82 citations), Signal Processing (30 citations) and Biophysics (16 citations). Charles Fenimore has collaborated with scholars based in United States, Egypt and Italy. Frequent co-authors include Nicholas Petrick, Michael F. McNitt‐Gray, Martin Misakian, John M. Libert, Andrew J. Buckler, Binsheng Zhao, Stephen Wolf, David M. Cannon, John W. Roberts and Lawrence H. Schwartz. Their work appears in journals such as Academic Radiology, Translational Oncology, Optics Express, Journal of Applied Physics and IEEE Transactions on Industry Applications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026