Narit Hnoohom
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Anuchit JitpattanakulSakorn MekruksavanichMahasak KetchamIlsun YouNarumol ChumuangWantanee KriengsinyosNipa RojroongwasinkulVirach Sornlertlamvanich
- Topics
- Context-Aware Activity Recognition Systems (30 papers)Non-Invasive Vital Sign Monitoring (13 papers)IoT and Edge/Fog Computing (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionExperimental and Cognitive Psychology
- Journals
- IEEE AccessSensorsApplied Sciences
- Partner nations
- ThailandJapanSouth Korea
In The Last Decade
Narit Hnoohom
81 papers receiving 698 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 377
- Biomedical Engineering 209
- Computer Networks and Communications 116
- Experimental and Cognitive Psychology 105
- Artificial Intelligence 103
Countries citing papers authored by Narit Hnoohom
This map shows the geographic impact of Narit Hnoohom'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 Narit Hnoohom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narit Hnoohom more than expected).
Fields of papers citing papers by Narit Hnoohom
This network shows the impact of papers produced by Narit Hnoohom. 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 Narit Hnoohom. The network helps show where Narit Hnoohom may publish in the future.
Co-authorship network of co-authors of Narit Hnoohom
This figure shows the co-authorship network connecting the top 25 collaborators of Narit Hnoohom. A scholar is included among the top collaborators of Narit Hnoohom 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 Narit Hnoohom. Narit Hnoohom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 31 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 23 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 39 | |
| 16 | 11 | |
| 17 | 45 | |
| 18 | 8 | |
| 19 | 36 | |
| 20 | 1 |
About Narit Hnoohom
Narit Hnoohom is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Space and Planetary Science, having authored 84 papers that have together received 725 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (30 papers), Non-Invasive Vital Sign Monitoring (13 papers) and IoT and Edge/Fog Computing (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Human-Computer Interaction (66 citations) and Experimental and Cognitive Psychology (105 citations). Narit Hnoohom has collaborated with scholars based in Thailand, Japan and South Korea. Frequent co-authors include Anuchit Jitpattanakul, Sakorn Mekruksavanich, Mahasak Ketcham, Ilsun You, Narumol Chumuang, Wantanee Kriengsinyos, Nipa Rojroongwasinkul, Virach Sornlertlamvanich, Thanaruk Theeramunkong and Pawinee Iamtrakul. Their work appears in journals such as IEEE Access, Sensors and Applied 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.