Jerret Ross
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Robotic Path Planning Algorithms 2
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
- Image and Signal Denoising Methods 1
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- Fuzzy Logic and Control Systems 2
- AI-based Problem Solving and Planning 1
- Co-authors
- Youssef Mroueh (7 shared papers)Payel Das (3 shared papers)Brian Belgodere (3 shared papers)Vijil Chenthamarakshan (2 shared papers)Inkit Padhi (2 shared papers)Tom Sercu (3 shared papers)Igor Melnyk (4 shared papers)Wei Zhang (1 shared paper)
- Journals
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (1 paper)Nature Machine Intelligence (1 paper)International Conference on Learning Representations (1 paper)UWA Profiles and Research Repository (University of Western Australia) (1 paper)Digital Discovery (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Jerret Ross
7 papers receiving 279 citations
Jerret Ross's Hit Papers
Peers
Comparison fields: 5 of 64
- Computational Theory and Mathematics 155
- Health Informatics 4
- Materials Chemistry 125
- Molecular Biology 101
- Artificial Intelligence 45
Countries citing papers authored by Jerret Ross
This map shows the geographic impact of Jerret Ross'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 Jerret Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerret Ross more than expected).
Fields of papers citing papers by Jerret Ross
This network shows the impact of papers produced by Jerret Ross. 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 Jerret Ross. The network helps show where Jerret Ross may publish in the future.
Co-authors
The 19 scholars most cited alongside Jerret Ross, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale chemical language representations capture molecular structure and properties Hit paper breakdown → | 2022 | 260 |
| 2 | Improved Image Captioning with Adversarial Semantic Alignment. | 2018 | 6 |
| 3 | 2019 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2025 | 4 | |
| 6 | 2019 | 3 | |
| 7 | Improved Adversarial Image Captioning | 2019 | 1 |
| 8 | Incorporating a Connectionist Vision Module into a Fuzzy, Behavior-Based Robot Controller | 1997 | 1 |
| 9 | Learning in a fuzzy logic robot controller | 1997 | 0 |
| 10 | JPEG and Image Measures | 1993 | 0 |
About Jerret Ross
Jerret Ross is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 10 papers that have together received 284 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (2 papers), Robotic Path Planning Algorithms (2 papers), Human Pose and Action Recognition (2 papers), Multimodal Machine Learning Applications (2 papers), Robotics and Sensor-Based Localization (1 paper), AI-based Problem Solving and Planning (1 paper), Advanced Database Systems and Queries (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Health Informatics (4 citations), Materials Chemistry (125 citations), Molecular Biology (101 citations) and Artificial Intelligence (45 citations). Jerret Ross has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Youssef Mroueh, Payel Das, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Tom Sercu, Igor Melnyk, Wei Zhang, Tianbao Yang and Douglas Blank. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Nature Machine Intelligence, International Conference on Learning Representations, UWA Profiles and Research Repository (University of Western Australia) and Digital Discovery.
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.