Koide Toshio

9 total papers · 1.1k total citations
2 papers, 838 citations indexed

About

Koide Toshio is a scholar working on Computer Networks and Communications, Information Systems and Infectious Diseases. According to data from OpenAlex, Koide Toshio has authored 2 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 1 paper in Information Systems and 0 papers in Infectious Diseases. Recurrent topics in Koide Toshio's work include Software-Defined Networks and 5G (2 papers), Caching and Content Delivery (1 paper) and Cloud Computing and Resource Management (1 paper). Koide Toshio is often cited by papers focused on Software-Defined Networks and 5G (2 papers), Caching and Content Delivery (1 paper) and Cloud Computing and Resource Management (1 paper). Koide Toshio collaborates with scholars based in Italy, United States and Japan. Koide Toshio's co-authors include Guru Parulkar, W.J. Snow, Masayoshi Kobayashi, Pavlin Radoslavov, Bob Lantz, Jonathan Hart, Brian O’Connor, Matteo Gerola and Hideyuki Shimonishi and has published in prestigious journals such as IEICE Technical Report; IEICE Tech. Rep..

In The Last Decade

Koide Toshio

1 paper receiving 807 citations

Hit Papers

ONOS 2014 2026 2018 2022 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Koide Toshio 823 298 142 96 33 2 838
Marc Miller 660 0.8× 263 0.9× 68 0.5× 97 1.0× 41 1.2× 3 705
Wenfeng Xia 860 1.0× 335 1.1× 188 1.3× 138 1.4× 53 1.6× 7 943
N. Srihari Rao 662 0.8× 263 0.9× 79 0.6× 105 1.1× 43 1.3× 9 735
David Lake 747 0.9× 288 1.0× 92 0.6× 106 1.1× 45 1.4× 8 817
Pushpinder Kaur Chouhan 706 0.9× 270 0.9× 94 0.7× 124 1.3× 48 1.5× 13 780
Jan Medved 713 0.9× 199 0.7× 92 0.6× 119 1.2× 25 0.8× 15 756
Yang Zhang 546 0.7× 371 1.2× 50 0.4× 125 1.3× 24 0.7× 6 868
Min Luo 948 1.2× 437 1.5× 157 1.1× 129 1.3× 40 1.2× 20 1.0k
Rasool Asal 668 0.8× 257 0.9× 285 2.0× 121 1.3× 15 0.5× 19 814
Georgios Patounas 652 0.8× 383 1.3× 50 0.4× 71 0.7× 37 1.1× 4 757

Countries citing papers authored by Koide Toshio

Since Specialization
Citations

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

Fields of papers citing papers by Koide Toshio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koide Toshio

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