Surat Teerapittayanon
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Co-authors
- H. T. KungBradley McDanelGeorge M. ChurchAlejandro VázquezWilliam M. ShihShawn M. DouglasAdam MarblestoneItthi Chatnuntawech
- Topics
- Adversarial Robustness in Machine Learning (3 papers)Advanced Neural Network Applications (3 papers)Biosensors and Analytical Detection (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- ThailandUnited StatesUnited Kingdom
In The Last Decade
Surat Teerapittayanon
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 938
- Computer Vision and Pattern Recognition 668
- Computer Networks and Communications 592
- Artificial Intelligence 537
- Biomedical Engineering 380
Countries citing papers authored by Surat Teerapittayanon
This map shows the geographic impact of Surat Teerapittayanon'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 Surat Teerapittayanon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surat Teerapittayanon more than expected).
Fields of papers citing papers by Surat Teerapittayanon
This network shows the impact of papers produced by Surat Teerapittayanon. 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 Surat Teerapittayanon. The network helps show where Surat Teerapittayanon may publish in the future.
Co-authorship network of co-authors of Surat Teerapittayanon
This figure shows the co-authorship network connecting the top 25 collaborators of Surat Teerapittayanon. A scholar is included among the top collaborators of Surat Teerapittayanon 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 Surat Teerapittayanon. Surat Teerapittayanon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 21 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | Distributed Deep Neural Networks Over the Cloud, the Edge and End Devicesbreakdown → | 528 |
| 14 | BranchyNet: Fast inference via early exiting from deep neural networksbreakdown → | 692 |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Rapid prototyping of 3D DNA-origami shapes with caDNAnobreakdown → | 955 |
About Surat Teerapittayanon
Surat Teerapittayanon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (668 citations), Computer Networks and Communications (592 citations) and Artificial Intelligence (537 citations). Surat Teerapittayanon has collaborated with scholars based in Thailand, United States and United Kingdom. Frequent co-authors include H. T. Kung, Bradley McDanel, George M. Church, Alejandro Vázquez, William M. Shih, Shawn M. Douglas, Adam Marblestone, Itthi Chatnuntawech, Sirawaj Itthipuripat and Chaipat Chunharas. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.