Nat Dilokthanakul
- Cognitive Neuroscience
- Artificial Intelligence
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Computer Vision and Pattern Recognition
- Co-authors
- Murray ShanahanNick PawlowskiPhairot AutthasanThapanun SudhawiyangkulHuy PhanTheerawit WilaiprasitpornCuntai GuanRattanaphon Chaisaen
- Topics
- Gaze Tracking and Assistive Technology (2 papers)Robot Manipulation and Learning (2 papers)Data Stream Mining Techniques (2 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringIEEE Transactions on Industrial InformaticsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ThailandDenmarkUnited Kingdom
In The Last Decade
Nat Dilokthanakul
9 papers receiving 215 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 96
- Artificial Intelligence 71
- Electrical and Electronic Engineering 54
- Cellular and Molecular Neuroscience 37
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Nat Dilokthanakul
This map shows the geographic impact of Nat Dilokthanakul'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 Nat Dilokthanakul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nat Dilokthanakul more than expected).
Fields of papers citing papers by Nat Dilokthanakul
This network shows the impact of papers produced by Nat Dilokthanakul. 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 Nat Dilokthanakul. The network helps show where Nat Dilokthanakul may publish in the future.
Co-authorship network of co-authors of Nat Dilokthanakul
This figure shows the co-authorship network connecting the top 25 collaborators of Nat Dilokthanakul. A scholar is included among the top collaborators of Nat Dilokthanakul 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 Nat Dilokthanakul. Nat Dilokthanakul 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 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 110 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 65 | |
| 10 | Classifying options for deep reinforcement learning | 3 |
About Nat Dilokthanakul
Nat Dilokthanakul is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Cognitive Neuroscience, having authored 10 papers that have together received 216 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (2 papers), Robot Manipulation and Learning (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (96 citations), Human-Computer Interaction (25 citations) and Signal Processing (24 citations). Nat Dilokthanakul has collaborated with scholars based in Thailand, Denmark and United Kingdom. Frequent co-authors include Murray Shanahan, Nick Pawlowski, Phairot Autthasan, Thapanun Sudhawiyangkul, Huy Phan, Theerawit Wilaiprasitporn, Cuntai Guan, Rattanaphon Chaisaen, Poramate Manoonpong and Sarana Nutanong. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.
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.