John F. Brenner
- Biomedical Engineering top 10%
- Soil Science top 5%
- Agronomy and Crop Science top 5%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Co-authors
- Keith PaustianKendrick KillianRichard NelsonJohn SheehanAndy AdenMarie E. WalshW D SellesPeter W. Neurath
- Topics
- Cell Image Analysis Techniques (8 papers)AI in cancer detection (6 papers)Digital Imaging for Blood Diseases (5 papers)
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
John F. Brenner
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 129
- Biomedical Engineering 391
- Soil Science 213
- Agronomy and Crop Science 207
- Computer Vision and Pattern Recognition 202
- Media Technology 154
Countries citing papers authored by John F. Brenner
This map shows the geographic impact of John F. Brenner'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 John F. Brenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John F. Brenner more than expected).
Fields of papers citing papers by John F. Brenner
This network shows the impact of papers produced by John F. Brenner. 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 John F. Brenner. The network helps show where John F. Brenner may publish in the future.
Co-authorship network of co-authors of John F. Brenner
This figure shows the co-authorship network connecting the top 25 collaborators of John F. Brenner. A scholar is included among the top collaborators of John F. Brenner 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 John F. Brenner. John F. Brenner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 421 | |
| 2 | 33 | |
| 3 | Making Large Classes More Interactive. | 1 |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 28 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | Detecting infection-related changes in peripheral blood smears with image analysis techniques. | 1 |
| 13 | 9 | |
| 14 | SPATIAL DISTRIBUTION OF HUMAN MUSCLE FIBERS - A COMPUTER SIMULATION. | 2 |
| 15 | Automated morphometric analysis of corneal endothelial cells. | 31 |
| 16 | 27 | |
| 17 | 1 | |
| 18 | 181 | |
| 19 | A description by computer of texture in Wright-stained leukocytes. | 3 |
| 20 | 9 |
About John F. Brenner
John F. Brenner is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Soil Science, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), AI in cancer detection (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Biophysics (129 citations), Soil Science (213 citations) and Agronomy and Crop Science (207 citations). John F. Brenner has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Keith Paustian, Kendrick Killian, Richard Nelson, John Sheehan, Andy Aden, Marie E. Walsh, W D Selles, Peter W. Neurath, Karolien Denef and Thomas C. King. Their work appears in journals such as Soil Science Society of America Journal, Pattern Recognition and Geoderma.
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.