Vasken Bohossian

22 total papers · 726 total citations
17 papers, 486 citations indexed

About

Vasken Bohossian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Vasken Bohossian has authored 17 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 6 papers in Computational Theory and Mathematics. Recurrent topics in Vasken Bohossian's work include Advanced Data Storage Technologies (9 papers), Coding theory and cryptography (7 papers) and Advanced Memory and Neural Computing (4 papers). Vasken Bohossian is often cited by papers focused on Advanced Data Storage Technologies (9 papers), Coding theory and cryptography (7 papers) and Advanced Memory and Neural Computing (4 papers). Vasken Bohossian collaborates with scholars based in United States, Canada and Israel. Vasken Bohossian's co-authors include Jehoshua Bruck, Lihao Xu, Moshe Schwartz, Yuval Cassuto, Anxiao Jiang, Marc D. Riedel, Chaogang Fan and P. Hasler and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Parallel and Distributed Systems and SIAM Journal on Discrete Mathematics.

In The Last Decade

Vasken Bohossian

16 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
Vasken Bohossian 382 220 202 109 55 17 486
Rotem Oshman 443 1.2× 187 0.8× 106 0.5× 39 0.4× 33 0.6× 36 531
Ningde Xie 468 1.2× 149 0.7× 92 0.5× 172 1.6× 36 0.7× 17 507
Hidetaka Aoki 70 0.2× 79 0.4× 351 1.7× 189 1.7× 51 0.9× 12 416
Alessia Marelli 346 0.9× 95 0.4× 65 0.3× 173 1.6× 103 1.9× 17 419
Ming-Chien Yang 511 1.3× 175 0.8× 47 0.2× 264 2.4× 136 2.5× 22 529
A. J. M. van Gasteren 185 0.5× 200 0.9× 188 0.9× 22 0.2× 94 1.7× 15 414
J. Hartmanis 54 0.1× 366 1.7× 240 1.2× 64 0.6× 61 1.1× 24 453
Jeremy Sproston 79 0.2× 399 1.8× 169 0.8× 18 0.2× 86 1.6× 25 496
Jens Gramm 156 0.4× 298 1.4× 158 0.8× 22 0.2× 12 0.2× 24 475
S.M. Dodunekov 209 0.5× 103 0.5× 428 2.1× 322 3.0× 11 0.2× 41 470

Countries citing papers authored by Vasken Bohossian

Since Specialization
Citations

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

Fields of papers citing papers by Vasken Bohossian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasken Bohossian

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