Amir Bahmani

52 total papers · 3.5k total citations
18 papers, 222 citations indexed

About

Amir Bahmani is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Amir Bahmani has authored 18 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Amir Bahmani's work include Software System Performance and Reliability (3 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Data Storage Technologies (3 papers). Amir Bahmani is often cited by papers focused on Software System Performance and Reliability (3 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Data Storage Technologies (3 papers). Amir Bahmani collaborates with scholars based in United States, Netherlands and Iran. Amir Bahmani's co-authors include M Snyder, Trevor Hastie, Ryan Runge, Xiao Li, Łukasz Kidziński, Jessilyn Dunn, Jennifer L. Hicks, Sophia Miryam Schüssler‐Fiorenza Rose, Scott L. Delp and Daniel R. Witt and has published in prestigious journals such as Nature Medicine, Bioinformatics and PLoS Computational Biology.

In The Last Decade

Amir Bahmani

17 papers receiving 215 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Amir Bahmani	70	32	31	23	22	18	222
Nigel McKelvey	83 1.2×	24 0.8×	23 0.7×	20 0.9×	18 0.8×	16	236
Virginie Felizardo	41 0.6×	45 1.4×	39 1.3×	14 0.6×	47 2.1×	23	261
Naresh N. Nandola	25 0.4×	11 0.3×	8 0.3×	16 0.7×	19 0.9×	22	316
Rosario Megna	62 0.9×	37 1.2×	16 0.5×	36 1.6×	24 1.1×	26	310
Quazi Abidur Rahman	25 0.4×	70 2.2×	15 0.5×	12 0.5×	26 1.2×	19	243
Elliot Saba	113 1.6×	49 1.5×	34 1.1×	30 1.3×	10 0.5×	8	232
Mythreye Venkatesan	64 0.9×	4 0.1×	8 0.3×	17 0.7×	41 1.9×	16	319
Aditya Gupta	18 0.3×	8 0.3×	39 1.3×	25 1.1×	71 3.2×	23	285
Z. Benyó	121 1.7×	46 1.4×	22 0.7×	97 4.2×	12 0.5×	14	280
William Burns	30 0.4×	9 0.3×	30 1.0×	9 0.4×	26 1.2×	24	202

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).

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.

Co-authorship network of co-authors of Amir Bahmani

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Bahmani. A scholar is included among the top collaborators of Amir Bahmani 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 Amir Bahmani. Amir Bahmani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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