Keiichi Nakata

1.2k total citations
79 papers, 757 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 757 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 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiichi Nakata United Kingdom 16 166 162 150 103 96 79 757
Peng Hui China 16 179 1.1× 233 1.4× 111 0.7× 26 0.3× 97 1.0× 59 1.2k
Qiang Yan China 21 224 1.3× 648 4.0× 27 0.2× 24 0.2× 14 0.1× 77 1.3k
Junghun Kim South Korea 19 187 1.1× 210 1.3× 295 2.0× 3 0.0× 127 1.3× 60 1.1k
Dongwook Kim South Korea 15 41 0.2× 204 1.3× 109 0.7× 7 0.1× 17 0.2× 97 850
Xixi Li China 16 237 1.4× 176 1.1× 206 1.4× 3 0.0× 37 0.4× 44 855
Ade Gafar Abdullah Indonesia 16 36 0.2× 52 0.3× 112 0.7× 6 0.1× 23 0.2× 190 1.1k
Di Jiang China 16 18 0.1× 68 0.4× 87 0.6× 71 0.7× 51 0.5× 106 902

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

20 of 20 papers shown
1.
Nakata, Keiichi, et al.. (2018). Aligning IS Masters programs with industry. Journal of the Association for Information Systems. 29(3). 169–182. 4 indexed citations
2.
Nakata, Keiichi, et al.. (2016). A preliminary study on information sharing between police and private security companies in the United Arab Emirates. CentAUR (University of Reading). 231–233. 1 indexed citations
3.
Moran, Stuart, Toyoaki Nishida, & Keiichi Nakata. (2013). Comparing British and Japanese Perceptions of a Wearable Ubiquitous Monitoring Device. IEEE Technology and Society Magazine. 32(4). 45–49. 19 indexed citations
4.
Wiafe, Isaac & Keiichi Nakata. (2012). Bibliographic analysis of persuasive systems: techniques, methods and domains of application. CentAUR (University of Reading). 61–64. 20 indexed citations
5.
Nakata, Keiichi, et al.. (2012). Investigation into the adoption intention of social CRM in Saudi banks. CentAUR (University of Reading). 402–407. 6 indexed citations
6.
Nakata, Keiichi, et al.. (2012). Organisational semiotics methods to assess organisational readiness for internal use of social media. Journal of the Association for Information Systems.
7.
Alsoud, Anas Ratib & Keiichi Nakata. (2012). Towards a Life-event Oriented G2C E-Service Provision: the NoBLE Framework. CentAUR (University of Reading). 2 indexed citations
8.
Wiafe, Isaac, Keiichi Nakata, Stuart Moran, & Stephen R. Gulliver. (2011). Considering user attitude and behaviour in persuasive systems design: the 3D-RAB model. Journal of the Association for Information Systems. 186. 15 indexed citations
9.
Alsoud, Anas Ratib & Keiichi Nakata. (2011). A CONCEPTUAL LIFE EVENT FRAMEWORK FOR GOVERNMENT-TO-CITIZEN ELECTRONIC SERVICES PROVISION. Journal of the Association for Information Systems. 1 indexed citations
10.
Liu, Kecheng, et al.. (2010). A conceptual model for acceptance of information systems: an organizational semiotic perspective. Journal of the Association for Information Systems. 348. 3 indexed citations
11.
Liu, Kecheng, Keiichi Nakata, & Chris Harty. (2010). Pervasive informatics: theory, practice and future directions. Intelligent Buildings International. 2(1). 5–19. 23 indexed citations
12.
Nakata, Keiichi, et al.. (2010). Generic context ontology modelling: A review and framework. CentAUR (University of Reading). 126–130. 10 indexed citations
13.
Nakata, Keiichi, et al.. (2005). INFORMATION RETRIEVAL USING COMMUNITY ONTOLOGIE. 3. 102–110.
14.
Furuta, K., et al.. (2003). ELECTRONIC DISCUSSION SYSTEM WITH INTELLIGENT SUPPORTING FUNCTIONS. 1. 299–306. 1 indexed citations
15.
Nakata, Keiichi, et al.. (2000). A STATISTICAL STUDY ON THE COMPRESSIBILITY OF CLAYEY SOIL : Part 2 On the formulas between coefficient of volume compressibility and effective pressure of alluvial clay inthe Osaka plain. Journal of Structural and Construction Engineering (Transactions of AIJ). 65(536). 93–100.
16.
Nakata, Keiichi, et al.. (2000). A STATISTICAL STUDY ON THE TEMPORARY EARTH RETAINING WALLS DURING EXCAVATION : Part 1 Analysis of a sample. Journal of Structural and Construction Engineering (Transactions of AIJ). 65(527). 103–109.
17.
Nakata, Keiichi, et al.. (1999). A STATISTICAL STUDY ON THE COMPRESSIBILITY OF CLAYEY SOIL : Part 1 On the formulas between void-ratio and effective pressure of the alluvial clay in the Osaka plain. Journal of Structural and Construction Engineering (Transactions of AIJ). 64(515). 99–106. 1 indexed citations
18.
Nakata, Keiichi, et al.. (1999). A STUDY OF SETTLEMENT ANALYSIS METHOD FOR BUILDINGS WITH MAT FOUNDATION BY CONSIDERING THE REBOUND OF THE GROUND. Journal of Structural and Construction Engineering (Transactions of AIJ). 64(522). 51–58.
19.
Nakata, Keiichi, et al.. (1998). Collaborative Concept Extraction from Documents.. Frontiers in Nutrition. 6. 161–161. 11 indexed citations
20.
Enokida, Youichi, Keiichi Nakata, & Akihiro Suzuki. (1989). Axial turbulent diffusion in fluid between rotating coaxial cylinders. AIChE Journal. 35(7). 1211–1214. 22 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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