Hideyuki Nakashima

1.3k total citations
49 papers, 548 citations indexed

About

Hideyuki Nakashima is a scholar working on Artificial Intelligence, Computer Networks and Communications and Automotive Engineering. According to data from OpenAlex, Hideyuki Nakashima has authored 49 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Automotive Engineering. Recurrent topics in Hideyuki Nakashima's work include Semantic Web and Ontologies (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Multi-Agent Systems and Negotiation (5 papers). Hideyuki Nakashima is often cited by papers focused on Semantic Web and Ontologies (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Multi-Agent Systems and Negotiation (5 papers). Hideyuki Nakashima collaborates with scholars based in Japan, United States and Germany. Hideyuki Nakashima's co-authors include Kôiti Hasida, Kiyoshi Izumi, Koichi Kurumatani, Tomohisa Yamashita, Yutaka Matsuo, Takuichi Nishimura, Toshiharu Taura, Les Gasser, Yoshinobu Yamamoto and Yukari Nagai and has published in prestigious journals such as Artificial Intelligence, Future Generation Computer Systems and Speech Communication.

In The Last Decade

Hideyuki Nakashima

43 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideyuki Nakashima Japan 11 159 156 109 68 59 49 548
Jeannette Chin United Kingdom 11 173 1.1× 70 0.4× 143 1.3× 80 1.2× 72 1.2× 30 471
Media Anugerah Ayu Indonesia 13 181 1.1× 115 0.7× 123 1.1× 97 1.4× 160 2.7× 115 607
Hyun Kim South Korea 15 118 0.7× 183 1.2× 67 0.6× 32 0.5× 77 1.3× 54 719
Sian Lun Lau Malaysia 12 180 1.1× 90 0.6× 173 1.6× 131 1.9× 134 2.3× 67 611
Alberto Faro Italy 13 183 1.2× 127 0.8× 66 0.6× 40 0.6× 164 2.8× 80 556
P. Victer Paul India 14 123 0.8× 210 1.3× 209 1.9× 54 0.8× 190 3.2× 54 766
Tianyi Wang United States 13 268 1.7× 216 1.4× 79 0.7× 41 0.6× 105 1.8× 40 648
Paolo Sernani Italy 13 285 1.8× 238 1.5× 137 1.3× 47 0.7× 91 1.5× 47 686
Raffi Krikorian United States 5 98 0.6× 80 0.5× 227 2.1× 71 1.0× 95 1.6× 8 469
Xiang Su China 9 99 0.6× 109 0.7× 213 2.0× 115 1.7× 123 2.1× 27 650

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
1.
Nakashima, Hideyuki. (2018). Smart Access Vehicle Service for Future Regional Mobility. 1 indexed citations
2.
Nakashima, Hideyuki, et al.. (2015). CONCEPT AND IMPLEMENTATION OF A NEW PUBLIC TRANSPORTATION SYSTEM THAT UNIFIES THE BUS AND TAXI SERVICES. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 71(5). I_875–I_888. 3 indexed citations
3.
Matsuo, Yutaka, et al.. (2008). Network Generation Model Based on Multiple Centralities. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 20(3). 410–422.
4.
Matsuo, Yutaka, Naoaki Okazaki, Kiyoshi Izumi, et al.. (2007). Inferring long-term user properties based on users' location history. International Joint Conference on Artificial Intelligence. 2159–2165. 29 indexed citations
5.
Nakashima, Hideyuki. (2007). Cyber Assist Project for Ambient Intelligence. 1–20. 4 indexed citations
6.
Nakashima, Hideyuki. (2007). Cyber-Assisting Real World with Ambient Intelligence and Semantic Computing. 1 indexed citations
7.
Nakashima, Hideyuki, Michael P. Wellman, Gerhard Weiß, & Peter Stone. (2006). Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems. Adaptive Agents and Multi-Agents Systems. 15(3). 365–8. 7 indexed citations
8.
Nakashima, Hideyuki, et al.. (2004). Visions toward a Society with Ubiquitous Computing and Networking:supporting a society with ubiquitous computing. 45(9). 907–911. 1 indexed citations
9.
Kurumatani, Koichi, et al.. (2002). Usability of Demand-bus in Town Area.. 2002. 239–245. 2 indexed citations
10.
Nakashima, Hideyuki. (1999). AI as Complex Information Processing. Minds and Machines. 9(1). 57–80. 6 indexed citations
11.
Ishikawa, Hiroshi, Takuo Watanabe, Kokichi Futatsugi, José Meseguer, & Hideyuki Nakashima. (1998). On the Semantics of GAEA.. 2(4). 123–142. 1 indexed citations
12.
Nakashima, Hideyuki, et al.. (1997). Causality as a key to the frame problem. Artificial Intelligence. 91(1). 33–50. 2 indexed citations
13.
Nakashima, Hideyuki, et al.. (1992). Language acquisition as learning. 2. 707–707. 1 indexed citations
14.
Nakashima, Hideyuki, Stanley Peters, & Hinrich Schütze. (1991). Communication and inference through situations. International Joint Conference on Artificial Intelligence. 76–81. 9 indexed citations
15.
Nakashima, Hideyuki. (1991). New Models for Software Architecture project. New Generation Computing. 9(3-4). 475–477. 2 indexed citations
16.
Nakashima, Hideyuki, et al.. (1988). Towards a Computational Interpretation of Situation Theory.. Future Generation Computer Systems. 489–498. 10 indexed citations
17.
Nakashima, Hideyuki. (1985). Term description: a simple powerful extension to prolog data structures. International Joint Conference on Artificial Intelligence. 44(23). 708–710. 3 indexed citations
18.
Nakashima, Hideyuki. (1984). Knowledge representation in Prolog/KR.. 126–130. 20 indexed citations
19.
Nakashima, Hideyuki, et al.. (1984). What is a Variable in Prolog. Future Generation Computer Systems. 327–332. 4 indexed citations
20.
Nakashima, Hideyuki. (1982). Prolog/KR - Language Features.. International Conference on Lightning Protection. 106(10). 65–70. 9 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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