Amir Bahmani

About

Amir Bahmani is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Amir Bahmani has authored 16 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Amir Bahmani’s work include Distributed and Parallel Computing Systems (3 papers), Gene expression and cancer classification (3 papers) and Software System Performance and Reliability (3 papers). Amir Bahmani is often cited by papers focused on Distributed and Parallel Computing Systems (3 papers), Gene expression and cancer classification (3 papers) and Software System Performance and Reliability (3 papers). Amir Bahmani collaborates with scholars based in United States, The Netherlands and Iran. Amir Bahmani's co-authors include M Snyder, Ryan Runge, Jennifer L. Hicks, Jessilyn Dunn, Xiao Li, Daniel R. Witt, Łukasz Kidziński, Trevor Hastie, Sophia Miryam Schüssler‐Fiorenza Rose and Scott L. Delp and has published in prestigious journals such as Nature Medicine, Bioinformatics and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Amir Bahmani i

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Fields of papers citing papers by Amir Bahmani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amir Bahmani

Since Specialization

Citations

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