Charles V. Stewart

5.4k citations
125 papers · 3.5k indexed · 1 hit paper · h-index 25

Charles V. Stewart

117 papers receiving 3.2k citations

Hit Papers

Perspectives in machine learning for wildlife conservation20222026202320242022100200300

Peers

Charles V. Stewart
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 2.1k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Aerospace Engineering 710
  • Ophthalmology 608
  • Ecology 370
Replace Stella X. Yu with:
Stella X. Yu United States
Václav Hlaváč Czechia
Atsuto Maki Japan
Subhransu Maji United States
Heikki Kälviäinen Finland
Nicolai Petkov Netherlands
Jason Yosinski United States
Judy Hoffman United States
Hugo Touvron France
Eric Tzeng United States
Charles V. Stewart relative to Stella X. Yu United States Stella X. Yu's profile →
Citations per field
00.5×6.5×
Stella X. Yu · 1×
Citations per year

Countries citing papers authored by Charles V. Stewart

Since Specialization
Citations

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

Fields of papers citing papers by Charles V. Stewart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles V. Stewart

This figure shows the co-authorship network connecting the top 25 collaborators of Charles V. Stewart. A scholar is included among the top collaborators of Charles V. Stewart 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 Charles V. Stewart. Charles V. Stewart 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 1
2 0
3 1
4 3
5 35
6
Perspectives in machine learning for wildlife conservationbreakdown →
348
7 0
8 2
9
Animal population censusing at scale with citizen science and photographic identification
17
10 104
11 12
12 5
13 243
14
Speakership Elections and Control of the U.S. House: 1839–1859
0
15 5
16 26
17 13
18 262
19 59
20 21

About Charles V. Stewart

Charles V. Stewart is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Computer Graphics and Computer-Aided Design, having authored 125 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (27 papers), Robotics and Sensor-Based Localization (25 papers) and Retinal Imaging and Analysis (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Ophthalmology (608 citations) and Radiology, Nuclear Medicine and Imaging (1.0k citations). Charles V. Stewart has collaborated with scholars based in United States, Germany and Kenya. Frequent co-authors include Badrinath Roysam, Michal Sofka, Chia-Ling Tsai, H.L. Tanenbaum, Ali Can, G. Yang, Tanya Berger‐Wolf, Gregory D. Hager, M. Ali Akber Dewan and Daniel I. Rubenstein. Their work appears in journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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2026