Hitoshi Aida

624 citations
49 papers · 388 · h-index 11

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
    • Veterinary Pharmacology and Anesthesia

Papers in

Hitoshi Aida

40 papers receiving 361 citations

Peers

Hitoshi Aida
Comparison fields: 5 of 81
  • Equine 137
  • Small Animals 62
  • Orthopedics and Sports Medicine 50
  • Computer Networks and Communications 130
  • Rehabilitation 27
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Amélie Chevalier Belgium
Jaekoo Lee South Korea
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Pedro Carvalho Portugal
Young Joon Chee South Korea
Po‐Chih Chen Taiwan
 Rich United States
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Citations per field
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Citations per year

Countries citing papers authored by Hitoshi Aida

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Aida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201082
2 199456
3
An evaluation of multi-path Transmission Control Protocol (M/TCP) with robust acknowledgement schemes
200432
4 200222
5 199920
6 201219
7 199615
8 200514
9 200512
10 201012
11 200210
12
An Evaluation of Multi-path Transmission Control Protocol (M/TCP) with Robust Acknowledgement Schemes (インターネットコンファレンス2002論文集)
20029
13 20118
14 20098
15 20037
16 19837
17
A Media Synchronization Mechanism for a Distributed Multimedia System with Interactive Control
19956
18 19996
19 20085
20 20025

About Hitoshi Aida

Hitoshi Aida is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Animal Science and Zoology, having authored 49 papers that have together received 388 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (14 papers), Interconnection Networks and Systems (7 papers), Mobile Ad Hoc Networks (6 papers), Software-Defined Networks and 5G (6 papers), Veterinary Equine Medical Research (5 papers), Advanced Optical Network Technologies (4 papers), Advanced Wireless Network Optimization (4 papers) and Wireless Networks and Protocols (4 papers). The work is most often cited by research in Equine (137 citations), Small Animals (62 citations), Orthopedics and Sports Medicine (50 citations), Computer Networks and Communications (130 citations) and Rehabilitation (27 citations). Hitoshi Aida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Seiji HOBO, Atsushi Hiraga, Toru FUJINAGA, Kohei Yoshida, Yutaka Mizuno, Tadao Saito, Hajime Ohmura, Francisco A. Uzal, Kenneth K.H. Lam and B. C. McGorum. Their work appears in journals such as Equine Veterinary Journal, Veterinary Record, Computer Communications, IEICE Transactions on Communications and IEICE Transactions on Information and Systems.

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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