Keiichi Nakata

156 total papers · 1.2k total citations
79 papers, 756 citations indexed

About

Keiichi Nakata is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Keiichi Nakata has authored 79 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Sociology and Political Science and 17 papers in Information Systems and Management. Recurrent topics in Keiichi Nakata's work include Technology Adoption and User Behaviour (12 papers), Digital Marketing and Social Media (11 papers) and Context-Aware Activity Recognition Systems (9 papers). Keiichi Nakata is often cited by papers focused on Technology Adoption and User Behaviour (12 papers), Digital Marketing and Social Media (11 papers) and Context-Aware Activity Recognition Systems (9 papers). Keiichi Nakata collaborates with scholars based in United Kingdom, Japan and United States. Keiichi Nakata's co-authors include Stuart Moran, Masahiro Shiozawa, Isaac Wiafe, K. Yoshida, K. Furuta, Satoru Tanaka, Tadao Tanaka, Shinya Nagasaki, Yoshiaki Sakamoto and Haruo Ogawa and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Applied Physics and Journal of Power Sources.

In The Last Decade

Keiichi Nakata

68 papers receiving 686 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Keiichi Nakata 166 162 150 103 96 79 756
Kai Li 110 0.7× 235 1.5× 56 0.4× 44 0.4× 31 0.3× 42 782
Hyo Kim 50 0.3× 247 1.5× 38 0.3× 22 0.2× 55 0.6× 44 785
Xi Wang 35 0.2× 131 0.8× 138 0.9× 12 0.1× 40 0.4× 62 734
Kwang‐Ho Ahn 79 0.5× 315 1.9× 212 1.4× 12 0.1× 22 0.2× 87 901
Heejin Lee 95 0.6× 56 0.3× 70 0.5× 18 0.2× 22 0.2× 53 877
Xiaoying Guo 85 0.5× 83 0.5× 40 0.3× 5 0.0× 155 1.6× 48 867
Dongwook Kim 40 0.2× 201 1.2× 109 0.7× 6 0.1× 17 0.2× 97 843
Xixi Li 234 1.4× 175 1.1× 193 1.3× 3 0.0× 37 0.4× 44 831
Jiaying Li 18 0.1× 129 0.8× 22 0.1× 17 0.2× 119 1.2× 44 668
Chun‐Chih Chen 22 0.1× 38 0.2× 37 0.2× 27 0.3× 106 1.1× 52 764

Countries citing papers authored by Keiichi Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Nakata. A scholar is included among the top collaborators of Keiichi Nakata 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 Keiichi Nakata. Keiichi Nakata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026