Peter Gershkovich
About
In The Last Decade
Peter Gershkovich
15 papers receiving 305 citations
Peers
Comparison fields: 5 of 56
- Oncology 126
- Radiology, Nuclear Medicine and Imaging 115
- Artificial Intelligence 93
- Molecular Biology 73
- Cancer Research 73
Countries citing papers authored by Peter Gershkovich
This map shows the geographic impact of Peter Gershkovich'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 Peter Gershkovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gershkovich more than expected).
Fields of papers citing papers by Peter Gershkovich
This network shows the impact of papers produced by Peter Gershkovich. 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 Peter Gershkovich. The network helps show where Peter Gershkovich may publish in the future.
Co-authorship network of co-authors of Peter Gershkovich
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gershkovich. A scholar is included among the top collaborators of Peter Gershkovich 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 Peter Gershkovich. Peter Gershkovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 82 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 81 | |
| 16 | 17 | |
| 17 | 60 | |
| 18 | An approach to object-relational mapping in bioscience domains. | 1 |
| 19 | An approach to guideline implementation with GEM. | 13 |
| 20 | An implementation framework for GEM encoded guidelines. | 10 |
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.