Akira Nukada

65 total papers · 1.4k total citations
34 papers, 952 citations indexed

About

Akira Nukada is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Akira Nukada has authored 34 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hardware and Architecture, 19 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Akira Nukada's work include Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (15 papers) and Distributed and Parallel Computing Systems (7 papers). Akira Nukada is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (15 papers) and Distributed and Parallel Computing Systems (7 papers). Akira Nukada collaborates with scholars based in Japan, China and France. Akira Nukada's co-authors include Satoshi Matsuoka, Toshio Endo, Naoya Maruyama, Satoshi Matsuoka, Takayuki Aoki, Satoshi Matsuoka, Takashi Shimokawabe, Akinori Yamanaka, Tomohiro Takaki and Hiroyuki Takizawa and has published in prestigious journals such as Parallel Computing, The International Journal of High Performance Computing Applications and Computer Science - Research and Development.

In The Last Decade

Akira Nukada

32 papers receiving 911 citations

Author Peers

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

Author Last Decade Papers Cites
Akira Nukada 583 521 154 133 103 34 952
Cy Chan 597 1.0× 437 0.8× 205 1.3× 149 1.1× 145 1.4× 37 1.1k
G.A. Geist 535 0.9× 668 1.3× 192 1.2× 143 1.1× 190 1.8× 46 1.2k
Guochun Shi 580 1.0× 565 1.1× 141 0.9× 222 1.7× 66 0.6× 21 1.2k
Harold Edwards 426 0.7× 399 0.8× 73 0.5× 74 0.6× 163 1.6× 38 921
Alexander Heinecke 351 0.6× 302 0.6× 86 0.6× 52 0.4× 142 1.4× 48 864
Yao Zhang 348 0.6× 299 0.6× 102 0.7× 91 0.7× 100 1.0× 16 869
Erich Strohmaier 608 1.0× 681 1.3× 142 0.9× 233 1.8× 44 0.4× 39 940
Greg Henry 591 1.0× 473 0.9× 113 0.7× 69 0.5× 63 0.6× 37 925
Sam S. Stone 674 1.2× 625 1.2× 116 0.8× 137 1.0× 73 0.7× 13 1.2k
Azzam Haidar 685 1.2× 467 0.9× 98 0.6× 106 0.8× 88 0.9× 79 1.1k

Countries citing papers authored by Akira Nukada

Since Specialization
Citations

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

Fields of papers citing papers by Akira Nukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Nukada

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