M.N. Nyan

772 citations
15 papers · 593 indexed · h-index 10

Impact in

Papers in

M.N. Nyan

15 papers receiving 562 citations

Peers

M.N. Nyan
Comparison fields: 5 of 69
  • Physical Therapy, Sports Therapy and Rehabilitation 217
  • Computer Vision and Pattern Recognition 355
  • Biomedical Engineering 421
  • Computer Networks and Communications 75
  • Cardiology and Cardiovascular Medicine 49
Replace M. Sekine with:
M. Sekine Japan
Tal Shany Australia
Enea Cippitelli Italy
Gearóid Ó Laighin Ireland
Pierre Barralon France
Amaya Arcelus Canada
J.E. Lundy France
Kai-Chun Liu Taiwan
Antti Konttila Finland
Fabio Bagalà Italy
M.N. Nyan relative to M. Sekine Japan M. Sekine's profile →
Citations per field
00.5×1.5×1.8×
M. Sekine · 1×
Citations per year

Countries citing papers authored by M.N. Nyan

Since Specialization
Citations

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

Fields of papers citing papers by M.N. Nyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.N. Nyan. 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 M.N. Nyan. The network helps show where M.N. Nyan may publish in the future.

Co-authorship network

The 12 scholars most cited alongside M.N. Nyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.N. Nyan Line = papers co-authored together M.N. Nyan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20096
2 200936
3 2008179
4 200852
5 20087
6 200810
7 200826
8 200810
9 20065
10 20062
11 200640
12 200696
13 2005103
14 20059
15 200412

About M.N. Nyan

M.N. Nyan is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 15 papers that have together received 593 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (8 papers), ECG Monitoring and Analysis (7 papers), Context-Aware Activity Recognition Systems (6 papers), Gait Recognition and Analysis (6 papers), Balance, Gait, and Falls Prevention (5 papers), EEG and Brain-Computer Interfaces (4 papers), Wireless Body Area Networks (3 papers) and Healthcare Technology and Patient Monitoring (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (217 citations), Computer Vision and Pattern Recognition (355 citations), Biomedical Engineering (421 citations), Computer Networks and Communications (75 citations) and Cardiology and Cardiovascular Medicine (49 citations). M.N. Nyan has collaborated with scholars based in Singapore and France. Frequent co-authors include Francis E. H. Tay, K.H.W. Seah, Euan Murugasu, Y Y Sitoh, Di Guo, M. Manimaran, Lin Xu, Bo Xu, Liming Yu and Liangfei Xu. Their work appears in journals such as Journal of Biomechanics, Journal of the Franklin Institute, Medical Engineering & Physics, International Journal of Software Engineering and Knowledge Engineering and Journal of Mechanics in Medicine and Biology.

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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