Jun Nishii

402 citations
22 papers · 299 indexed · h-index 9
Topics
Muscle activation and electromyography studies (10 papers)Balance, Gait, and Falls Prevention (9 papers)Motor Control and Adaptation (8 papers)
Partner nations
JapanGermany

In The Last Decade

Jun Nishii

21 papers receiving 284 citations

Peers

Jun Nishii
Comparison fields: 5 of 49
  • Biomedical Engineering 209
  • Cognitive Neuroscience 118
  • Control and Systems Engineering 53
  • Physical Therapy, Sports Therapy and Rehabilitation 45
  • Aerospace Engineering 43
Replace Nozomi Tomita with:
Nozomi Tomita Japan
Soichiro Fujiki Japan
Tetsuro Funato Japan
Joshua G. Hale Japan
Christoph Schütz Germany
Taiga Yamasaki Japan
Thomas Villgrattner Germany
Jas Kelso United States
G. Venugopal India
Mathew H. Evans United Kingdom
Jun Nishii relative to Nozomi Tomita Japan Nozomi Tomita's profile →
Citations per field
00.5×3.8×
Nozomi Tomita · 1×
Citations per year

Countries citing papers authored by Jun Nishii

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nishii

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nishii. A scholar is included among the top collaborators of Jun Nishii 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 Nishii. Jun Nishii 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
#WorkIndexed citations
1 3
2 14
3 8
4 9
5 8
6 0
7 3
8 25
9 52
10
A determinant of the leg swing trajectory during walking
2
11 22
12 74
13 6
14 9
15 7
16 30
17 1
18 5
19 1
20 18

About Jun Nishii

Jun Nishii is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Cognitive Neuroscience and Biomedical Engineering, having authored 22 papers that have together received 299 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Balance, Gait, and Falls Prevention (9 papers) and Motor Control and Adaptation (8 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (45 citations), Cognitive Neuroscience (118 citations) and Biomedical Engineering (209 citations). Jun Nishii has collaborated with scholars based in Japan and Germany. Frequent co-authors include Ryoji Suzuki, Yoji Uno, Masahiro Mori, Dai Owaki, Akio Ishiguro, Naomichi Ogihara and T. Naniwa. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Journal of Theoretical Biology and Neural Computation.

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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