Tetsuya Oda

2.8k total citations
152 papers, 782 citations indexed

About

Tetsuya Oda is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tetsuya Oda has authored 152 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Computer Networks and Communications, 55 papers in Electrical and Electronic Engineering and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tetsuya Oda's work include Mobile Ad Hoc Networks (90 papers), Opportunistic and Delay-Tolerant Networks (53 papers) and Cooperative Communication and Network Coding (43 papers). Tetsuya Oda is often cited by papers focused on Mobile Ad Hoc Networks (90 papers), Opportunistic and Delay-Tolerant Networks (53 papers) and Cooperative Communication and Network Coding (43 papers). Tetsuya Oda collaborates with scholars based in Japan, Spain and Albania. Tetsuya Oda's co-authors include Leonard Barolli, Makoto Ikeda, Fatos Xhafa, Shinji Sakamoto, Elis Kulla, Admir Barolli, Donald Elmazi, Evjola Spaho, Makoto Takizawa and Yuki Sakai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Computer and System Sciences.

In The Last Decade

Tetsuya Oda

141 papers receiving 760 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tetsuya Oda Japan 15 594 308 118 74 66 152 782
Xi Jin China 15 420 0.7× 216 0.7× 51 0.4× 70 0.9× 89 1.3× 39 631
Rodrigo Santos Argentina 12 275 0.5× 138 0.4× 54 0.5× 26 0.4× 73 1.1× 71 468
Jiankang Ren China 11 245 0.4× 210 0.7× 48 0.4× 77 1.0× 70 1.1× 39 575
Dilip Kumar India 14 490 0.8× 360 1.2× 48 0.4× 61 0.8× 18 0.3× 42 741
Behnam Dezfouli United States 17 771 1.3× 428 1.4× 53 0.4× 89 1.2× 25 0.4× 57 912
Urs Hunkeler Switzerland 6 431 0.7× 168 0.5× 148 1.3× 82 1.1× 18 0.3× 10 602
Davide Adami Italy 15 616 1.0× 277 0.9× 48 0.4× 70 0.9× 25 0.4× 106 815
Oliver Hahm Germany 8 559 0.9× 249 0.8× 86 0.7× 77 1.0× 54 0.8× 16 699
Muhammad Adeel Pasha Pakistan 15 158 0.3× 491 1.6× 115 1.0× 63 0.9× 88 1.3× 50 701
Eirini Karapistoli Greece 13 383 0.6× 282 0.9× 58 0.5× 90 1.2× 10 0.2× 37 598

Countries citing papers authored by Tetsuya Oda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Oda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Oda

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Oda. A scholar is included among the top collaborators of Tetsuya Oda 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 Tetsuya Oda. Tetsuya Oda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Oda, Tetsuya, et al.. (2024). A simulation system for decision of camera position and angle: Human motion analysis in case of dangerous posture scenarios. Internet of Things. 30. 101471–101471. 1 indexed citations
2.
Nagai, Yuki, et al.. (2023). Design of an Animal Types and Movement Based Pest Animal Repellent System. 930–931. 1 indexed citations
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Koliçi, Vladi, et al.. (2017). Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and different number of flows. Journal of Ambient Intelligence and Humanized Computing. 9(3). 699–707. 4 indexed citations
6.
Ozera, Kosuke, Takaaki Inaba, Donald Elmazi, et al.. (2017). A Fuzzy Approach for Secure Clustering in MANETs: Effects of Distance Parameter on System Performance. 5 indexed citations
7.
Sakamoto, Shinji, Tetsuya Oda, Makoto Ikeda, Leonard Barolli, & Fatos Xhafa. (2016). Implementation of a New Replacement Method in WMN-PSO Simulation System and Its Performance Evaluation. QRU Quaderns de Recerca en Urbanisme. 206–211. 14 indexed citations
8.
Oda, Tetsuya, et al.. (2016). Performance Analysis of WMNs by WMN-GA Simulation System for Exponential Distribution Considering EDCA and DCF. QRU Quaderns de Recerca en Urbanisme. 15–21. 2 indexed citations
9.
Barolli, Admir, et al.. (2016). Performance Analysis of a Genetic Algorithm Based System for Wireless Mesh Networks Considering Weibull Distribution, DCF and EDCA. QRU Quaderns de Recerca en Urbanisme. 182–188. 2 indexed citations
10.
Sakamoto, Shinji, Tetsuya Oda, Makoto Ikeda, & Leonard Barolli. (2015). Design and Implementation of a Simulation System Based on Particle Swarm Optimization for Node Placement Problem in Wireless Mesh Networks. 164–168. 6 indexed citations
11.
Inaba, Takaaki, Donald Elmazi, Shinji Sakamoto, et al.. (2015). A Secure-Aware Call Admission Control Scheme for Wireless Cellular Networks Using Fuzzy Logic and Its Performance Evaluation.. Journal of Multimedia. 11. 213–222. 17 indexed citations
12.
Elmazi, Donald, Keita Matsuo, Tetsuya Oda, Makoto Ikeda, & Leonard Barolli. (2015). Implementation and evaluation of a fuzzy-based cluster-head selection system for wireless sensor networks considering network traffic. Journal of Multimedia. 11(1). 10–20.
13.
Oda, Tetsuya, et al.. (2015). Application of Neural Networks and Friedman Test for User Identification in Tor Networks. 13. 448–454. 1 indexed citations
14.
Inaba, Takaaki, Shinji Sakamoto, Tetsuya Oda, Leonard Barolli, & Makoto Takizawa. (2015). A New FACS for Cellular Wireless Networks Considering QoS: A Comparison Study of FuzzyC with MATLAB. 338–344. 6 indexed citations
15.
Sakamoto, Shinji, Elis Kulla, Tetsuya Oda, et al.. (2014). Performance Evaluation Considering Iterations per Phase and SA Temperature in WMN-SA System. SHILAP Revista de lepidopterología. 16 indexed citations
16.
17.
Sakamoto, Shinji, Elis Kulla, Tetsuya Oda, et al.. (2013). A comparison study of simulated annealing and genetic algorithm for node placement problem in wireless mesh networks. Journal of Multimedia. 9(1). 101–110. 26 indexed citations
18.
Oda, Tetsuya, Admir Barolli, Fatos Xhafa, et al.. (2012). Performance Evaluation of WMN-GA for Different Mutation and Crossover Rates Considering Number of Covered Users Parameter. SHILAP Revista de lepidopterología. 9 indexed citations
19.
Yang, Tao, Tetsuya Oda, Gjergji Mino, et al.. (2012). Energy-saving in wireless sensor networks considering mobile sensor nodes, single and multi events.. Computer Systems: Science & Engineering. 27. 2 indexed citations
20.
Barolli, Leonard, Evjola Spaho, Tetsuya Oda, et al.. (2011). Performance evaluation for different settings of crossover and mutation rates considering number of covered users. 110–115. 1 indexed citations

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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