Tomohiro Nagashima

13 papers receiving 792 citations

Hit Papers

A Numerical Approach to Ergodic Problem of Dissipative Dy...19792026199420101979200400600

Peers

Tomohiro Nagashima
Comparison fields: 5 of 79
  • Statistical and Nonlinear Physics 617
  • Computer Networks and Communications 408
  • Economics and Econometrics 98
  • Artificial Intelligence 82
  • Condensed Matter Physics 77
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Arturo C. Martı́ Uruguay
I. Shimada Japan
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James B. Kadtke United States
Neelima Gupte India
Ying-Cheng Lai United States
Ditza Auerbach Israel
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Countries citing papers authored by Tomohiro Nagashima

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Nagashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Nagashima

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

All Works

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Contextualized Instruction in Data Science and its Effect on Transfer of Learning.
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Correlation of Experimental Measurements with a Finite-State Ground Effect Model
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A Numerical Approach to Ergodic Problem of Dissipative Dynamical Systemsbreakdown →
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[Vocal regulation in singing--an experimental study on a vocalist].
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About Tomohiro Nagashima

Tomohiro Nagashima is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Statistical and Nonlinear Physics, having authored 21 papers that have together received 834 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (5 papers), Online Learning and Analytics (4 papers) and Intelligent Tutoring Systems and Adaptive Learning (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (617 citations), Computer Networks and Communications (408 citations) and Mathematical Physics (61 citations). Tomohiro Nagashima has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include I. Shimada, Yasushi Hasebe, Hideki Tanaka, Shunichi Uchiyama, Vincent Aleven, Shusaku Nomura, Tingting Gu, J. V. R. Prasad, Kexin Yang and Martha W. Alibali. Their work appears in journals such as Progress of Theoretical Physics, Proceedings of the ACM on Human-Computer Interaction and Journal of Interactive Media in Education.

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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