Farrokh Vatan

73 total papers · 1.4k total citations
39 papers, 775 citations indexed

About

Farrokh Vatan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Farrokh Vatan has authored 39 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Control and Systems Engineering. Recurrent topics in Farrokh Vatan's work include Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (11 papers) and AI-based Problem Solving and Planning (7 papers). Farrokh Vatan is often cited by papers focused on Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (11 papers) and AI-based Problem Solving and Planning (7 papers). Farrokh Vatan collaborates with scholars based in United States, Italy and Hungary. Farrokh Vatan's co-authors include Colin P. Williams, Vwani Roychowdhury, P. Oscar Boykin, Tal Mor, Amir Fijany, R. B. Vrijen, Alexander A. Balandin, Jonathan P. Dowling, Robert M. Gingrich and Hwang Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Information Theory.

In The Last Decade

Farrokh Vatan

36 papers receiving 735 citations

Author Peers

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

Author						Papers	Cites
Farrokh Vatan	633	404	173	76	55	39	775
Shijie Wei	588 0.9×	427 1.1×	109 0.6×	51 0.7×	89 1.6×	68	844
Akira Sone	792 1.3×	393 1.0×	137 0.8×	75 1.0×	76 1.4×	40	874
de Ng Dick Bruijn	275 0.4×	30 0.1×	289 1.7×	64 0.8×	27 0.5×	62	859
Benoît Valiron	777 1.2×	409 1.0×	240 1.4×	59 0.8×	58 1.1×	34	847
Christopher Granade	612 1.0×	420 1.0×	31 0.2×	68 0.9×	53 1.0×	21	706
Daiwei Zhu	672 1.1×	574 1.4×	74 0.4×	58 0.8×	81 1.5×	29	875
Yan-Ling Wang	693 1.1×	294 0.7×	81 0.5×	73 1.0×	6 0.1×	28	794
Lev B. Levitin	441 0.7×	295 0.7×	177 1.0×	246 3.2×	114 2.1×	58	881
Daniel K. Park	657 1.0×	222 0.5×	177 1.0×	105 1.4×	15 0.3×	38	790
Ryan Sweke	779 1.2×	322 0.8×	121 0.7×	79 1.0×	35 0.6×	19	866

Countries citing papers authored by Farrokh Vatan

Since Specialization

Citations

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

Fields of papers citing papers by Farrokh Vatan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farrokh Vatan

This figure shows the co-authorship network connecting the top 25 collaborators of Farrokh Vatan. A scholar is included among the top collaborators of Farrokh Vatan 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 Farrokh Vatan. Farrokh Vatan 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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