Earl E. Gose
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Pharmacology
- Co-authors
- Anthony N. MucciardiL V AckermanEric BaerA. Harry KlopfW. Earl BarnesAndreas AcrivosErvin KaplanKenneth R. Stevens
- Topics
- Neural Networks and Applications (3 papers)Medical Imaging Techniques and Applications (2 papers)Digital Imaging for Blood Diseases (2 papers)
- Partner nations
- United States
In The Last Decade
Earl E. Gose
23 papers receiving 392 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 131
- Radiology, Nuclear Medicine and Imaging 73
- Pathology and Forensic Medicine 56
- Pharmacology 49
Countries citing papers authored by Earl E. Gose
This map shows the geographic impact of Earl E. Gose'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 Earl E. Gose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl E. Gose more than expected).
Fields of papers citing papers by Earl E. Gose
This network shows the impact of papers produced by Earl E. Gose. 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 Earl E. Gose. The network helps show where Earl E. Gose may publish in the future.
Co-authorship network of co-authors of Earl E. Gose
This figure shows the co-authorship network connecting the top 25 collaborators of Earl E. Gose. A scholar is included among the top collaborators of Earl E. Gose 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 Earl E. Gose. Earl E. Gose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 6 | |
| 3 | 35 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 26 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 49 | |
| 13 | 12 | |
| 14 | 44 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 5 |
About Earl E. Gose
Earl E. Gose is a scholar working on Filtration and Separation, Biophysics and Artificial Intelligence, having authored 23 papers that have together received 452 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Artificial Intelligence (183 citations) and Biophysics (27 citations). Earl E. Gose has collaborated with scholars based in United States. Frequent co-authors include Anthony N. Mucciardi, L V Ackerman, Eric Baer, A. Harry Klopf, W. Earl Barnes, Andreas Acrivos, Ervin Kaplan, Kenneth R. Stevens, Henry S. Loeb and Eric Chern-Pin Chua. Their work appears in journals such as The Journal of Chemical Physics, Journal of Applied Physics and Cancer.
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.