Mario Tokoro

176 total papers · 3.0k total citations
85 papers, 1.2k citations indexed

About

Mario Tokoro is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Mario Tokoro has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 29 papers in Hardware and Architecture and 29 papers in Artificial Intelligence. Recurrent topics in Mario Tokoro's work include Distributed systems and fault tolerance (20 papers), Parallel Computing and Optimization Techniques (18 papers) and Distributed and Parallel Computing Systems (15 papers). Mario Tokoro is often cited by papers focused on Distributed systems and fault tolerance (20 papers), Parallel Computing and Optimization Techniques (18 papers) and Distributed and Parallel Computing Systems (15 papers). Mario Tokoro collaborates with scholars based in Japan, Canada and United States. Mario Tokoro's co-authors include Yasuhiko Yokote, Fumio Teraoka, Akinori Yonezawa, Yutaka Ishikawa, Kazunori Takashio, Annette Werth, Takahiro Sasaki, Kenji Tanaka, Tadashi Morita and Shigeru Tajima and has published in prestigious journals such as IEEE Transactions on Smart Grid, ACM SIGCOMM Computer Communication Review and Future Generation Computer Systems.

In The Last Decade

Mario Tokoro

81 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Mario Tokoro	646	419	369	217	156	85	1.2k
C. Gordon Bell	472 0.7×	523 1.2×	266 0.7×	150 0.7×	117 0.8×	42	1.1k
Theo Ungerer	793 1.2×	881 2.1×	218 0.6×	213 1.0×	79 0.5×	164	1.5k
Fei Xie	337 0.5×	304 0.7×	160 0.4×	276 1.3×	201 1.3×	111	956
Giovanni Agosta	207 0.3×	375 0.9×	411 1.1×	230 1.1×	106 0.7×	94	1.0k
Behrooz Parhami	830 1.3×	268 0.6×	215 0.6×	471 2.2×	275 1.8×	125	1.3k
Martina Maggio	932 1.4×	545 1.3×	498 1.3×	184 0.8×	148 0.9×	119	1.4k
M. Watheq El‐Kharashi	495 0.8×	513 1.2×	270 0.7×	328 1.5×	74 0.5×	160	965
A. Srinivasan	459 0.7×	389 0.9×	152 0.4×	102 0.5×	155 1.0×	69	964
Alessandro V. Papadopoulos	778 1.2×	223 0.5×	317 0.9×	122 0.6×	106 0.7×	152	1.3k
Wanli Chang	321 0.5×	469 1.1×	111 0.3×	254 1.2×	157 1.0×	96	1.0k

Countries citing papers authored by Mario Tokoro

Since Specialization

Citations

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

Fields of papers citing papers by Mario Tokoro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Tokoro

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