Atsuo Inomata

470 citations
37 papers · 251 indexed · h-index 8

Atsuo Inomata

35 papers receiving 230 citations

Peers

Atsuo Inomata
Comparison fields: 5 of 35
  • Computer Networks and Communications 146
  • Information Systems 129
  • Signal Processing 39
  • Artificial Intelligence 94
  • Software 7
Replace Subhan Ullah with:
Subhan Ullah Italy
Daniel S. Dantas United States
Amit Manjhi United States
HariGovind V. Ramasamy United States
Thomas Given-Wilson France
Adel Bouhoula Tunisia
Ioana Boureanu United Kingdom
Po-Wen Chi Taiwan
Christophe Bidan France
Rafael R. Obelheiro Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Atsuo Inomata

Since Specialization
Citations

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

Fields of papers citing papers by Atsuo Inomata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 202164
3 20211
4 20219
5 20211
6 20217
7 20205
8 20177
9 20151
10
A Vehicle Clustering Algorithm for Information Propagation by Inter-Vehicle Communications
20141
11 20131
12 201123
13
Proposal and evaluation of an effective method for underlay-aware overlay networks using LDAP
20091
14 20091
15 20087
16
Broadcast Encryption with Sender Authentication and its Application
20061
17 200631
18 20067
19 20051
20 20040

About Atsuo Inomata

Atsuo Inomata is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 37 papers that have together received 251 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Vehicular Ad Hoc Networks (VANETs) (7 papers), Mobile Ad Hoc Networks (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Cryptography and Residue Arithmetic (5 papers), Network Security and Intrusion Detection (5 papers), Peer-to-Peer Network Technologies (4 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Computer Networks and Communications (146 citations), Information Systems (129 citations) and Signal Processing (39 citations). Atsuo Inomata has collaborated with scholars based in Japan, Canada and France. Frequent co-authors include Tetsutaro Uehara, Songpon Teerakanok, Eiji Okamoto, Sk. Md. Mizanur Rahman, Masahiro Mambo, Kazutoshi Fujikawa, Takuma Okamoto, Hideki Sunahara, Takeshi Okamoto and S. Noguchi. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and Computers & Electrical Engineering.

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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