Jonathan Francis
Impact in
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- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 6
- Anomaly Detection Techniques and Applications 3
- Semantic Web and Ontologies 3
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- Multimodal Machine Learning Applications 6
- Video Surveillance and Tracking Methods 3
- Co-authors
- Eric Nyberg (7 shared papers)Alessandro Oltramari (10 shared papers)Kaixin Ma (6 shared papers)Mario Bergés (7 shared papers)Charles Shelton (9 shared papers)Quanyang Lu (1 shared paper)Filip Ilievski (4 shared papers)Yonatan Bisk (2 shared papers)
- Journals
- Journal of Artificial Intelligence Research (1 paper)IEEE Robotics and Automation Letters (1 paper)Quarterly Journal of the Royal Meteorological Society (1 paper)Acta Scientiarum. Technology (1 paper)Proceedings of the AAAI Symposium Series (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Jonathan Francis
31 papers receiving 262 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 144
- Building and Construction 57
- Automotive Engineering 23
- Environmental Engineering 25
Countries citing papers authored by Jonathan Francis
This map shows the geographic impact of Jonathan Francis'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 Jonathan Francis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Francis more than expected).
Fields of papers citing papers by Jonathan Francis
This network shows the impact of papers produced by Jonathan Francis. 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 Jonathan Francis. The network helps show where Jonathan Francis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Francis, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 43 | |
| 2 | 2021 | 40 | |
| 3 | 2017 | 31 | |
| 4 | 2022 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2021 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2024 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 4 | |
| 19 | Poster Abstract: Long Term Occupancy Estimation in a Commercial Space: An Empirical Study | 2017 | 3 |
| 20 | 2024 | 2 |
About Jonathan Francis
Jonathan Francis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Building and Construction, Automotive Engineering and Control and Systems Engineering, having authored 35 papers that have together received 269 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Building Energy and Comfort Optimization (7 papers), Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Anomaly Detection Techniques and Applications (3 papers), Semantic Web and Ontologies (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Artificial Intelligence (144 citations), Building and Construction (57 citations), Automotive Engineering (23 citations) and Environmental Engineering (25 citations). Jonathan Francis has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Eric Nyberg, Alessandro Oltramari, Kaixin Ma, Mario Bergés, Charles Shelton, Quanyang Lu, Filip Ilievski, Yonatan Bisk, Shan Lin and Matías Quintana. Their work appears in journals such as Journal of Artificial Intelligence Research, IEEE Robotics and Automation Letters, Quarterly Journal of the Royal Meteorological Society, Acta Scientiarum. Technology and Proceedings of the AAAI Symposium Series.
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.