Jerret Ross
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Materials Science
Papers in
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- Robotic Path Planning Algorithms 2
- Advanced Data Compression Techniques 1
- Advanced Image and Video Retrieval Techniques 1
- 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 (5 shared papers)Brian M. Belgodere (3 shared papers)Payel Das (2 shared papers)Inkit Padhi (3 shared papers)Vijil Chenthamarakshan (2 shared papers)Igor V. Melnyk (3 shared papers)Mattia Rigotti (2 shared papers)Erik Altman (1 shared paper)
- Journals
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (1 paper)Nature Machine Intelligence (1 paper)UWA Profiles and Research Repository (UWA) (1 paper)International Conference on Learning Representations (1 paper)Digital Discovery (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Jerret Ross
5 papers receiving 320 citations
Jerret Ross's Hit Papers
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 177
- Materials Chemistry 133
- Health Informatics 3
- Molecular Biology 113
- Artificial Intelligence 40
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 15 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 | 312 |
| 2 | 2025 | 6 | |
| 3 | 2021 | 5 | |
| 4 | 2024 | 5 | |
| 5 | Incorporating a Connectionist Vision Module into a Fuzzy, Behavior-Based Robot Controller | 1997 | 1 |
| 6 | Improved Adversarial Image Captioning | 2019 | 1 |
| 7 | JPEG and Image Measures | 1993 | 0 |
| 8 | Learning in a fuzzy logic robot controller | 1997 | 0 |
About Jerret Ross
Jerret Ross is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Management, Signal Processing and Management Science and Operations Research, having authored 8 papers that have together received 330 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (2 papers), Robotic Path Planning Algorithms (2 papers), Advanced Data Compression Techniques (1 paper), Stock Market Forecasting Methods (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Image and Signal Denoising Methods (1 paper), AI-based Problem Solving and Planning (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Computational Theory and Mathematics (177 citations), Materials Chemistry (133 citations), Health Informatics (3 citations), Molecular Biology (113 citations) and Artificial Intelligence (40 citations). Jerret Ross has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Youssef Mroueh, Brian M. Belgodere, Payel Das, Inkit Padhi, Vijil Chenthamarakshan, Igor V. Melnyk, Mattia Rigotti, Erik Altman, Douglas Blank and Samuel C. Hoffman. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Nature Machine Intelligence, UWA Profiles and Research Repository (UWA), International Conference on Learning Representations 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.