Countries citing papers authored by Tatsuo Nakajima
Since
Specialization
Citations
This map shows the geographic impact of Tatsuo Nakajima'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 Tatsuo Nakajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuo Nakajima more than expected).
This network shows the impact of papers produced by Tatsuo Nakajima. 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 Tatsuo Nakajima. The network helps show where Tatsuo Nakajima may publish in the future.
Co-authorship network of co-authors of Tatsuo Nakajima
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuo Nakajima.
A scholar is included among the top collaborators of Tatsuo Nakajima 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 Tatsuo Nakajima. Tatsuo Nakajima is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sakamoto, M., Todorka Alexandrova, & Tatsuo Nakajima. (2013). Augmenting remote trading card play with virtual characters used in animation and game stories-Towards persuasive and ambient transmedia storytelling. Advances in Computer-Human Interaction. 168–177.12 indexed citations
3.
Sakamoto, M., Todorka Alexandrova, & Tatsuo Nakajima. (2013). Analyzing the Effects of Virtualizing and Augmenting Trading Card Game based on the Player's Personality. Advances in Computer-Human Interaction. 348–357.10 indexed citations
4.
Kimura, Hiroaki & Tatsuo Nakajima. (2011). Designing persuasive applications to motivate sustainable behavior in collectivist cultures. 9(1). 7–28.35 indexed citations
5.
Midden, Cees, et al.. (2011). Persuasive power in groups: The influence of group feedback and individual comparison feedback on energy consumption behavior. TU/e Research Portal (Eindhoven University of Technology).1 indexed citations
6.
Lehdonvirta, Vili, et al.. (2010). A Crowdsourcing Based Mobile Image Translation and Knowledge Sharing Service. SSRN Electronic Journal.8 indexed citations
Ahamed, Sheikh Iqbal, et al.. (2008). Secure and efficient tag searching in RFID systems using serverless search protocol. International Journal of Security and Its Applications. 2(4). 57–66.12 indexed citations
11.
Kawsar, Fahim, et al.. (2008). Augmenting user interaction in a smart home applying commonsense knowledge. International Journal of Smart Home. 2(4). 17–32.1 indexed citations
Lehdonvirta, Vili, et al.. (2008). UbiPay: Conducting Everyday Payments with Minimum User Involvement. SSRN Electronic Journal.4 indexed citations
14.
Kishi, Kazuo, Hideo Nakajima, Nobuaki Imanishi, & Tatsuo Nakajima. (2006). The reconstruction of the lower eyelid with V-Y advancement flap. 49(7). 749–754.1 indexed citations
15.
Fujinami, Kaori & Tatsuo Nakajima. (2006). Bazaar: a middleware for physical world abstraction. Journal of Multimedia. 2(2). 124–145.1 indexed citations
Takahashi, K, et al.. (1998). ベザフィブラートは抗酸化作用を持つ ペルオキシソーム増殖因子活性化受容体αは肝においてCu2+,Zn2+スーパオキシドジスムターゼと連関している. Life Sciences. 63(2). 135–144.1 indexed citations
18.
Nakajima, Tatsuo, et al.. (1996). Handling Continuous Media in Mobile Computing Environment.2 indexed citations
19.
Nakajima, Tatsuo. (1996). Operating System Supports for Continuous Media.. 96(7). 7–12.1 indexed citations
20.
Nakajima, Tatsuo & Hideyuki Takagi. (1992). Implementation of Scheduling Policies in Real-Time Mach.1 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.