Montri Phothisonothai
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Masahiro NakagawaPornchai PhukpattaranontAngkoon PhinyomarkChusak LimsakulKatsumi WatanabeSomsak ChoomchuayWongwit SenavongseMitsuru Kikuchi
- Topics
- EEG and Brain-Computer Interfaces (20 papers)Neural dynamics and brain function (10 papers)Blind Source Separation Techniques (6 papers)
In The Last Decade
Montri Phothisonothai
40 papers receiving 281 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 176
- Cellular and Molecular Neuroscience 61
- Signal Processing 52
- Biomedical Engineering 49
- Artificial Intelligence 46
Countries citing papers authored by Montri Phothisonothai
This map shows the geographic impact of Montri Phothisonothai'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 Montri Phothisonothai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Montri Phothisonothai more than expected).
Fields of papers citing papers by Montri Phothisonothai
This network shows the impact of papers produced by Montri Phothisonothai. 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 Montri Phothisonothai. The network helps show where Montri Phothisonothai may publish in the future.
Co-authorship network of co-authors of Montri Phothisonothai
This figure shows the co-authorship network connecting the top 25 collaborators of Montri Phothisonothai. A scholar is included among the top collaborators of Montri Phothisonothai 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 Montri Phothisonothai. Montri Phothisonothai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | Linear and nonlinear features for automatic artifacts removal from MEG data based on ICA | 4 |
| 12 | 9 | |
| 13 | 2 | |
| 14 | DETRENDED FLUCTUATION ANALYSIS OF ELECTROMYOGRAPHY SIGNAL TO IDENTIFY HAND MOVEMENT | 4 |
| 15 | Development of Computer Software for Pathological Analyzing of Thai Language Speakers | 1 |
| 16 | Fractal dimension based electroencephalogram analysis of drowsiness patterns | 4 |
| 17 | 6 | |
| 18 | 17 | |
| 19 | 36 | |
| 20 | 9 |
About Montri Phothisonothai
Montri Phothisonothai is a scholar working on Cognitive Neuroscience, Signal Processing and Human-Computer Interaction, having authored 42 papers that have together received 294 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (10 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (176 citations), Human-Computer Interaction (29 citations) and Signal Processing (52 citations). Montri Phothisonothai has collaborated with scholars based in Thailand, Japan and Italy. Frequent co-authors include Masahiro Nakagawa, Pornchai Phukpattaranont, Angkoon Phinyomark, Chusak Limsakul, Katsumi Watanabe, Somsak Choomchuay, Wongwit Senavongse, Mitsuru Kikuchi, Yoshio Minabe and Aki Kondo. Their work appears in journals such as Journal of the Physical Society of Japan, Materials Today Communications and The Journal of Physiological Sciences.
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.