Koide Toshio

1.1k citations
2 papers · 841 indexed · 1 hit paper · h-index 1
Topics
Software-Defined Networks and 5G (2 papers)Caching and Content Delivery (1 paper)Cloud Computing and Resource Management (1 paper)
Journals
IEICE Technical Report; IEICE Tech. Rep.
Partner nations
ItalyJapanUnited States

In The Last Decade

Koide Toshio

1 paper receiving 810 citations

Hit Papers

ONOS20142026201820222014250500750

Peers

Koide Toshio
Comparison fields: 5 of 27
  • Computer Networks and Communications 825
  • Electrical and Electronic Engineering 298
  • Information Systems 142
  • Artificial Intelligence 96
  • Control and Systems Engineering 33
Replace Ken Gray with:
Ken Gray China
Pavlin Radoslavov United States
Robert Varga China
Matteo Gerola Italy
Advait Dixit United States
Andreas Wundsam Germany
Daniel Raumer Germany
Adrián Lara United States
Chaithan Prakash United States
Ruslan Smeliansky Russia
Koide Toshio relative to Ken Gray China Ken Gray's profile →
Citations per field
00.5×1.5×2.3×
Ken Gray · 1×
Citations per year

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

2 of 2 papers shown
#WorkIndexed citations
1 841
2
A study on the automatic construction mechanism of control network in OpenFlow-based network
0

About Koide Toshio

Koide Toshio is a scholar working on Computer Networks and Communications, Information Systems and Infectious Diseases, having authored 2 papers that have together received 841 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (2 papers), Caching and Content Delivery (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Computer Networks and Communications (825 citations), Information Systems (142 citations) and Electrical and Electronic Engineering (298 citations). Koide Toshio has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Pavlin Radoslavov, Matteo Gerola, W.J. Snow, Guru Parulkar, Bob Lantz, Brian O’Connor, Jonathan Hart, Masayoshi Kobayashi and Hideyuki Shimonishi. Their work appears in journals such as IEICE Technical Report; IEICE Tech. Rep..

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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