Shojiro Nishio

572 total papers · 4.6k total citations
327 papers, 2.8k citations indexed

About

Shojiro Nishio is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shojiro Nishio has authored 327 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 220 papers in Computer Networks and Communications, 61 papers in Information Systems and 52 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shojiro Nishio's work include Opportunistic and Delay-Tolerant Networks (81 papers), Energy Efficient Wireless Sensor Networks (80 papers) and Mobile Ad Hoc Networks (70 papers). Shojiro Nishio is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (81 papers), Energy Efficient Wireless Sensor Networks (80 papers) and Mobile Ad Hoc Networks (70 papers). Shojiro Nishio collaborates with scholars based in Japan, China and United States. Shojiro Nishio's co-authors include Takahiro Hara, Lei Shu, Masahiko Tsukamoto, Jian Pei, D. Yang, Shiwei Tang, Hongjun Lü, Tsutomu Terada, Yuki Arase and Jiawei Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Shojiro Nishio

292 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Shojiro Nishio 1.4k 649 570 505 342 327 2.8k
Hong Shen 1.7k 1.2× 743 1.1× 1.0k 1.8× 793 1.6× 234 0.7× 380 3.4k
Xinghua Li 1.1k 0.8× 936 1.4× 1.5k 2.6× 834 1.7× 243 0.7× 198 2.9k
Sukumar Nandi 1.9k 1.3× 583 0.9× 976 1.7× 1.2k 2.3× 344 1.0× 337 3.7k
Hong Gao 1.3k 0.9× 588 0.9× 741 1.3× 669 1.3× 574 1.7× 207 2.6k
Wei Liang 921 0.6× 860 1.3× 925 1.6× 345 0.7× 201 0.6× 218 2.7k
Libing Wu 1.3k 0.9× 1.4k 2.1× 1.5k 2.6× 777 1.5× 199 0.6× 167 3.2k
Dongxiao Yu 1.4k 1.0× 508 0.8× 811 1.4× 701 1.4× 173 0.5× 225 2.6k
Aurel A. Lazar 2.3k 1.6× 225 0.3× 437 0.8× 1.3k 2.6× 277 0.8× 208 4.2k
Ruchuan Wang 1.9k 1.4× 579 0.9× 753 1.3× 1.6k 3.2× 368 1.1× 369 4.1k
Tinghuai Ma 670 0.5× 573 0.9× 1.4k 2.5× 267 0.5× 163 0.5× 191 2.7k

Countries citing papers authored by Shojiro Nishio

Since Specialization
Citations

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

Fields of papers citing papers by Shojiro Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shojiro Nishio

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