Martin Pincus
About
In The Last Decade
Martin Pincus
6 papers receiving 70 citations
Peers
Comparison fields: 5 of 57
- Surgery 31
- Mathematical Physics 22
- Applied Mathematics 17
- Computational Theory and Mathematics 13
- Pathology and Forensic Medicine 12
Countries citing papers authored by Martin Pincus
This map shows the geographic impact of Martin Pincus'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 Martin Pincus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Pincus more than expected).
Fields of papers citing papers by Martin Pincus
This network shows the impact of papers produced by Martin Pincus. 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 Martin Pincus. The network helps show where Martin Pincus may publish in the future.
Co-authorship network of co-authors of Martin Pincus
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pincus. A scholar is included among the top collaborators of Martin Pincus 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 Martin Pincus. Martin Pincus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 35 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 30 |
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.