Bahram Parvin

73 papers and 1.6k indexed citations i.

About

Bahram Parvin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Bahram Parvin has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 17 papers in Molecular Biology. Recurrent topics in Bahram Parvin’s work include AI in cancer detection (20 papers), Cell Image Analysis Techniques (15 papers) and Medical Image Segmentation Techniques (12 papers). Bahram Parvin is often cited by papers focused on AI in cancer detection (20 papers), Cell Image Analysis Techniques (15 papers) and Medical Image Segmentation Techniques (12 papers). Bahram Parvin collaborates with scholars based in United States, China and Norway. Bahram Parvin's co-authors include Hang Chang, Paul T. Spellman, Mary Helen Barcellos‐Hoff, Alexander D. Borowsky, Sylvain V. Costes, Yin Zhou, Shraddha A. Ravani, Kenneth E. Barner, Thea D. Tlsty and Rosa Anna DeFilippis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Bahram Parvin i

Fields of papers citing papers by Bahram Parvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bahram Parvin. 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 Bahram Parvin. The network helps show where Bahram Parvin may publish in the future.

Countries citing papers authored by Bahram Parvin

Since Specialization
Citations

This map shows the geographic impact of Bahram Parvin'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 Bahram Parvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bahram Parvin more than expected).

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.

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