Jun Nakano

10 total papers · 594 total citations
8 papers, 434 citations indexed

About

Jun Nakano is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Jun Nakano has authored 8 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jun Nakano's work include Computational Geometry and Mesh Generation (3 papers), Complexity and Algorithms in Graphs (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Jun Nakano is often cited by papers focused on Computational Geometry and Mesh Generation (3 papers), Complexity and Algorithms in Graphs (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Jun Nakano collaborates with scholars based in United States and Japan. Jun Nakano's co-authors include Josep Torrellas, Radu Teodorescu, Abhishek Tiwari, Brian Greskamp, Smruti R. Sarangi, Takeshi Tokuyama, Pablo Montesinos and Kourosh Gharachorloo and has published in prestigious journals such as SIAM Journal on Computing, IEEE Micro and IEEE Transactions on Semiconductor Manufacturing.

In The Last Decade

Jun Nakano

7 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Jun Nakano	343	261	164	22	19	8	434
Yoshio Masubuchi	168 0.5×	295 1.1×	239 1.5×	29 1.3×	21 1.1×	8	433
Vidyasagar Nookala	321 0.9×	225 0.9×	128 0.8×	27 1.2×	44 2.3×	9	460
D. Stasiak	191 0.6×	308 1.2×	230 1.4×	27 1.2×	21 1.1×	7	443
M. Riley	226 0.7×	351 1.3×	241 1.5×	28 1.3×	23 1.2×	10	492
D. Pham	159 0.5×	296 1.1×	230 1.4×	28 1.3×	21 1.1×	5	417
T. Yamazaki	145 0.4×	278 1.1×	221 1.3×	30 1.4×	20 1.1×	9	411
Mingjun Wang	149 0.4×	271 1.0×	215 1.3×	25 1.1×	19 1.0×	5	390
A.J. KleinOsowski	300 0.9×	339 1.3×	195 1.2×	17 0.8×	14 0.7×	14	461
Stefan Hadjis	126 0.4×	300 1.1×	198 1.2×	53 2.4×	13 0.7×	13	408
Fabian Schuiki	179 0.5×	242 0.9×	172 1.0×	51 2.3×	44 2.3×	18	386

Countries citing papers authored by Jun Nakano

Since Specialization

Citations

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

Fields of papers citing papers by Jun Nakano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nakano

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