Jun Nishida

60 total papers · 828 total citations
35 papers, 381 citations indexed

About

Jun Nishida is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Jun Nishida has authored 35 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 23 papers in Human-Computer Interaction and 9 papers in Biomedical Engineering. Recurrent topics in Jun Nishida's work include Tactile and Sensory Interactions (17 papers), Virtual Reality Applications and Impacts (15 papers) and Muscle activation and electromyography studies (7 papers). Jun Nishida is often cited by papers focused on Tactile and Sensory Interactions (17 papers), Virtual Reality Applications and Impacts (15 papers) and Muscle activation and electromyography studies (7 papers). Jun Nishida collaborates with scholars based in Japan, United States and Germany. Jun Nishida's co-authors include Kenji Suzuki, Pedro Lopes, Shunichi Kasahara, Romain Nith, Kosuke Sato, Shan-Yuan Teng, Kazuhisa Shibata, Jas Brooks, Shinsuke Shimojo and Kanako Takahashi and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, National University of Singapore and ArXiv.org.

In The Last Decade

Jun Nishida

31 papers receiving 379 citations

Author Peers

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

Author						Papers	Cites
Jun Nishida	252	230	91	82	36	35	381
Keigo Matsumoto	174 0.7×	266 1.2×	31 0.3×	25 0.3×	57 1.6×	48	378
Taku Hachisu	209 0.8×	167 0.7×	78 0.9×	37 0.5×	39 1.1×	57	349
Wanjoo Park	302 1.2×	108 0.5×	78 0.9×	28 0.3×	27 0.8×	45	445
David Dobbelstein	187 0.7×	319 1.4×	45 0.5×	67 0.8×	112 3.1×	21	425
Debatri Chatterjee	198 0.8×	94 0.4×	63 0.7×	62 0.8×	42 1.2×	54	389
Arun Ramakrishnan	105 0.4×	70 0.3×	117 1.3×	44 0.5×	54 1.5×	27	387
Vasileios Skaramagkas	89 0.4×	107 0.5×	85 0.9×	65 0.8×	44 1.2×	22	421
Filip Škola	262 1.0×	190 0.8×	19 0.2×	44 0.5×	73 2.0×	18	438
Manish Sreenivasa	138 0.5×	38 0.2×	214 2.4×	40 0.5×	34 0.9×	27	423
Masahiro Furukawa	166 0.7×	217 0.9×	48 0.5×	48 0.6×	76 2.1×	61	389

Countries citing papers authored by Jun Nishida

Since Specialization

Citations

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

Fields of papers citing papers by Jun Nishida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nishida. A scholar is included among the top collaborators of Jun Nishida 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 Jun Nishida. Jun Nishida 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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