Kazutoshi Fujikawa

586 citations
65 papers · 389 indexed · h-index 11

Kazutoshi Fujikawa

55 papers receiving 367 citations

Peers

Kazutoshi Fujikawa
Comparison fields: 5 of 51
  • Computer Networks and Communications 265
  • Electrical and Electronic Engineering 149
  • Artificial Intelligence 95
  • Signal Processing 74
  • Information Systems 68
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Tarak Nandy Malaysia
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Citations per field
00.5×10.7×
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Citations per year

Countries citing papers authored by Kazutoshi Fujikawa

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Fujikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Fujikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Fujikawa. A scholar is included among the top collaborators of Kazutoshi Fujikawa 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 Kazutoshi Fujikawa. Kazutoshi Fujikawa 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
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 2
6 4
7
A Proposal of MPTCP Scheduler considering one-way latency information and out-of-order under various delay conditions
0
8 7
9 2
10
A Vehicle Clustering Algorithm for Information Propagation by Inter-Vehicle Communications
1
11 13
12
Proposal and evaluation of an effective method for underlay-aware overlay networks using LDAP
1
13 1
14
The proposal of the version control system for presentation data, and the experiment of the progress management of the research
0
15
USB/IP: a peripheral bus extension for device sharing over IP network
29
16 2
17
Real-Time Spatial Data Management for Scalable Networked Augmented Virtual Spaces
3
18 2
19
Synchronization Mechanism among Multimedia Information on Distributed Hypermedia System Harmony
0
20
Multimedia Presentation System Harmony with Temporal and Active Media.
19

About Kazutoshi Fujikawa

Kazutoshi Fujikawa is a scholar working on Computer Networks and Communications, Hardware and Architecture and Transportation, having authored 65 papers that have together received 389 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (16 papers), Vehicular Ad Hoc Networks (VANETs) (15 papers) and Caching and Content Delivery (11 papers). The work is most often cited by research in Computer Networks and Communications (265 citations), Hardware and Architecture (48 citations) and Signal Processing (74 citations). Kazutoshi Fujikawa has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Hideki Sunahara, Eiji Kawai, Takahiro Hirofuchi, Shinji Shimojo, Atsuo Inomata, Hideo Miyahara, Lixin Gao, Shojiro Nishio, Yang Song and Hiroyuki Inoue. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and EURASIP Journal on Wireless Communications and Networking.

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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