Koide Toshio

1.1k citations
2 papers · 841 · 1 hit paper · h-index 1

Impact in

    • Software-Defined Networks and 5G
    • Network Security and Intrusion Detection
    • Caching and Content Delivery
    • Network Traffic and Congestion Control
    • IoT and Edge/Fog Computing
    • Cloud Computing and Resource Management

Papers in

Koide Toshio

1 paper receiving 810 citations

Koide Toshio's Hit Papers

ONOS 2014 · 841 citations
8410+4+8Years since publication250500750

Peers

Koide Toshio
Comparison fields: 5 of 27
  • Computer Networks and Communications 825
  • Information Systems 142
  • Electrical and Electronic Engineering 298
  • Hardware and Architecture 21
  • Artificial Intelligence 96
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-authors

The 9 scholars most cited alongside Koide Toshio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Koide Toshio Line = papers co-authored together Koide Toshio links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
ONOS
Hit paper breakdown →
2014841
2
A study on the automatic construction mechanism of control network in OpenFlow-based network
20100

About Koide Toshio

Koide Toshio is a scholar working on Computer Networks and Communications, Information Systems, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 841 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (2 papers), Cloud Computing and Resource Management (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Computer Networks and Communications (825 citations), Information Systems (142 citations), Electrical and Electronic Engineering (298 citations), Hardware and Architecture (21 citations) and Artificial Intelligence (96 citations). Koide Toshio has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Guru Parulkar, Masayoshi Kobayashi, Pavlin Radoslavov, Matteo Gerola, Jonathan Hart, Brian O’Connor, W.J. Snow, Bob Lantz 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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