Koichi Wada

797 citations
52 papers · 246 indexed · h-index 9

Koichi Wada

43 papers receiving 235 citations

Peers

Koichi Wada
Comparison fields: 5 of 51
  • Computer Networks and Communications 165
  • Computer Graphics and Computer-Aided Design 6
  • Computational Theory and Mathematics 27
  • Mechanical Engineering 53
  • Social Psychology 25
Replace Christos Ampatzis with:
Christos Ampatzis Belgium
Giovanni C. Pettinaro Switzerland
Abraham Prieto Spain
Cheryl B. Schrader United States
Haibo Li China
Naveen Goela United States
C.-C. Shen United States
J.C. Eble United States
Deqian Kong China
Koichi Wada relative to Christos Ampatzis Belgium Christos Ampatzis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Koichi Wada

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Koichi Wada, 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 Koichi Wada Line = papers co-authored together Koichi Wada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20192
3 20191
4 20191
5 20152
6 20149
7 20137
8
A better dynamic cluster-based structure of wireless sensor network for efficient routing
201210
9 20114
10 20102
11 20103
12
Construction and Maintenance of a Novel Cluster-based Architecture for Ad Hoc Sensor Networks.
200815
13 20072
14 20043
15
Emotional Memory System using Self-Organizing Maps for Intelligent Robots
20020
16 20023
17
Parallel Algorithms for Convex Hull Problems and Their Paradigm
20001
18 19981
19
Efficient algorithms for triconnected graphs and 3-edge-connected graphs
19944
20 19925

About Koichi Wada

Koichi Wada is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Computational Theory and Mathematics, having authored 52 papers that have together received 246 indexed citations. Recurring topics across this work include Optimization and Search Problems (17 papers), Modular Robots and Swarm Intelligence (13 papers), Energy Efficient Wireless Sensor Networks (10 papers), Distributed systems and fault tolerance (9 papers), Mobile Ad Hoc Networks (8 papers), Complexity and Algorithms in Graphs (8 papers), Distributed Control Multi-Agent Systems (7 papers) and Interconnection Networks and Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (165 citations), Computer Graphics and Computer-Aided Design (6 citations) and Computational Theory and Mathematics (27 citations). Koichi Wada has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Taisuke Izumi, Tomoko Saito, A. K. M. Muzahidul Islam, Tomohiro Shibata, K. Tanie, Yoshiaki Katayama, Nobuhiro Inuzuka, Samia Souissi, Xavier Défago and Wei Chen. Their work appears in journals such as SIAM Journal on Computing, Robotics and Autonomous Systems and Theoretical Computer Science.

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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