Pyke Tin
Impact in
- Small Animals top 2%
- Animal Behavior and Welfare Studies
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Context-Aware Activity Recognition Systems
Papers in
-
- Video Surveillance and Tracking Methods 20
- Human Pose and Action Recognition 11
- Advanced Image and Video Retrieval Techniques 9
-
- Animal Behavior and Welfare Studies 24
- Co-authors
- Thi Thi Zin (74 shared papers)Ikuo Kobayashi (21 shared papers)Hiromitsu Hama (34 shared papers)Yoichiro Horii (13 shared papers)R. M. Phatarfod (3 shared papers)J. Gani (7 shared papers)Hiroki Tamura (2 shared papers)Etsuo Chosa (2 shared papers)
- Journals
- Journal of Applied Probability (9 papers)Sensors (7 papers)Scientific Reports (5 papers)IEEE Transactions on Consumer Electronics (2 papers)Advances in Applied Probability (2 papers)
- Partner nations
- JapanMyanmarUnited States
In The Last Decade
Pyke Tin
82 papers receiving 666 citations
Peers
Comparison fields: 5 of 96
- Small Animals 142
- Computer Vision and Pattern Recognition 258
- Animal Science and Zoology 97
- Food Science 110
- Artificial Intelligence 129
Countries citing papers authored by Pyke Tin
This map shows the geographic impact of Pyke Tin'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 Pyke Tin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pyke Tin more than expected).
Fields of papers citing papers by Pyke Tin
This network shows the impact of papers produced by Pyke Tin. 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 Pyke Tin. The network helps show where Pyke Tin may publish in the future.
Co-authors
The 13 scholars most cited alongside Pyke Tin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2023 | 45 | |
| 3 | 2020 | 40 | |
| 4 | 2011 | 34 | |
| 5 | 2023 | 33 | |
| 6 | 2024 | 23 | |
| 7 | 1985 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2010 | 21 | |
| 10 | 2024 | 18 | |
| 11 | 1985 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2024 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2013 | 14 | |
| 18 | A Probability-based Model for Detecting Abandoned Objects in Video Surveillance Systems | 2012 | 11 |
| 19 | 2019 | 10 | |
| 20 | 2024 | 10 |
About Pyke Tin
Pyke Tin is a scholar working on Computer Vision and Pattern Recognition, Small Animals, Animal Science and Zoology, Information Systems and Food Science, having authored 95 papers that have together received 703 indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (24 papers), Video Surveillance and Tracking Methods (20 papers), Effects of Environmental Stressors on Livestock (17 papers), Food Supply Chain Traceability (12 papers), Human Pose and Action Recognition (11 papers), Advanced Image and Video Retrieval Techniques (9 papers), Advanced Queuing Theory Analysis (8 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Small Animals (142 citations), Computer Vision and Pattern Recognition (258 citations), Animal Science and Zoology (97 citations), Food Science (110 citations) and Artificial Intelligence (129 citations). Pyke Tin has collaborated with scholars based in Japan, Myanmar and United States. Frequent co-authors include Thi Thi Zin, Ikuo Kobayashi, Hiromitsu Hama, Yoichiro Horii, R. M. Phatarfod, J. Gani, Hiroki Tamura, Etsuo Chosa, Tsuyomu Ikenoue and Jerry Chun‐Wei Lin. Their work appears in journals such as Journal of Applied Probability, Sensors, Scientific Reports, IEEE Transactions on Consumer Electronics and Advances in Applied Probability.
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.