Saman Farahmand
About
In The Last Decade
Saman Farahmand
11 papers receiving 305 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 162
- Radiology, Nuclear Medicine and Imaging 133
- Molecular Biology 88
- Oncology 65
- Cancer Research 49
Countries citing papers authored by Saman Farahmand
This map shows the geographic impact of Saman Farahmand'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 Saman Farahmand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saman Farahmand more than expected).
Fields of papers citing papers by Saman Farahmand
This network shows the impact of papers produced by Saman Farahmand. 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 Saman Farahmand. The network helps show where Saman Farahmand may publish in the future.
Co-authorship network of co-authors of Saman Farahmand
This figure shows the co-authorship network connecting the top 25 collaborators of Saman Farahmand. A scholar is included among the top collaborators of Saman Farahmand 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 Saman Farahmand. Saman Farahmand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 97 | |
| 3 | 1 | |
| 4 | 124 | |
| 5 | 53 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 8 |
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.