Hideyuki Nakashima

43 papers receiving 485 citations

Peers

Hideyuki Nakashima
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 159
  • Artificial Intelligence 156
  • Computer Networks and Communications 109
  • Electrical and Electronic Engineering 68
  • Information Systems 59
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Countries citing papers authored by Hideyuki Nakashima

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Nakashima

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Nakashima. A scholar is included among the top collaborators of Hideyuki Nakashima 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 Hideyuki Nakashima. Hideyuki Nakashima 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
Smart Access Vehicle Service for Future Regional Mobility
1
2 3
3 0
4
Cyber Assist Project for Ambient Intelligence
4
5
Inferring long-term user properties based on users' location history
29
6
Cyber-Assisting Real World with Ambient Intelligence and Semantic Computing
1
7
Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
7
8
Visions toward a Society with Ubiquitous Computing and Networking:supporting a society with ubiquitous computing
1
9 2
10
Usability of Demand-bus in Town Area.
2
11 1
12 1
13 2
14
Organic Programming Language GAEA for Multi-Agents *
9
15
Communication and inference through situations
9
16
Towards a Computational Interpretation of Situation Theory.
10
17 3
18
Knowledge representation in Prolog/KR.
20
19
What is a Variable in Prolog
4
20 9

About Hideyuki Nakashima

Hideyuki Nakashima is a scholar working on Transportation, Artificial Intelligence and Automotive Engineering, having authored 49 papers that have together received 548 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Multi-Agent Systems and Negotiation (5 papers). The work is most often cited by research in Human-Computer Interaction (54 citations), Transportation (56 citations) and Computer Vision and Pattern Recognition (159 citations). Hideyuki Nakashima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kiyoshi Izumi, Kôiti Hasida, Koichi Kurumatani, Yutaka Matsuo, Takuichi Nishimura, Tomohisa Yamashita, Les Gasser, Toru Ishida, Yoshinobu Yamamoto and Yukari Nagai. Their work appears in journals such as Artificial Intelligence, Future Generation Computer Systems and Speech Communication.

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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