Kenneth M Feeley
About
In The Last Decade
Kenneth M Feeley
7 papers receiving 547 citations
Peers
Comparison fields: 5 of 72
- Surgery 346
- Molecular Biology 224
- Oncology 118
- Pathology and Forensic Medicine 112
- Pulmonary and Respiratory Medicine 92
Countries citing papers authored by Kenneth M Feeley
This map shows the geographic impact of Kenneth M Feeley'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 Kenneth M Feeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth M Feeley more than expected).
Fields of papers citing papers by Kenneth M Feeley
This network shows the impact of papers produced by Kenneth M Feeley. 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 Kenneth M Feeley. The network helps show where Kenneth M Feeley may publish in the future.
Co-authorship network of co-authors of Kenneth M Feeley
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth M Feeley. A scholar is included among the top collaborators of Kenneth M Feeley 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 Kenneth M Feeley. Kenneth M Feeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 249 | |
| 3 | 111 | |
| 4 | Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks. | 85 |
| 5 | 17 | |
| 6 | 38 | |
| 7 | 46 |
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.