Jérémie Sublime
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
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- Remote Sensing and Land Use
Papers in
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- Advanced Clustering Algorithms Research 6
- Geochemistry and Geologic Mapping 2
- Data Stream Mining Techniques 2
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- Remote-Sensing Image Classification 6
- Co-authors
- Maria Trocan (4 shared papers)Dino Ienco (1 shared paper)Younès Bennani (4 shared papers)Nistor Grozavu (4 shared papers)Antoine Cornuéjols (3 shared papers)Guénaël Cabanès (3 shared papers)Basarab Mateï (3 shared papers)Michel Pâques (3 shared papers)
In The Last Decade
Jérémie Sublime
20 papers receiving 277 citations
Peers
Comparison fields: 5 of 60
- Media Technology 125
- Atmospheric Science 77
- Artificial Intelligence 97
- Ecology 58
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Jérémie Sublime
This map shows the geographic impact of Jérémie Sublime'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 Jérémie Sublime with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérémie Sublime more than expected).
Fields of papers citing papers by Jérémie Sublime
This network shows the impact of papers produced by Jérémie Sublime. 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 Jérémie Sublime. The network helps show where Jérémie Sublime may publish in the future.
Co-authors
The 18 scholars most cited alongside Jérémie Sublime, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2020 | 44 | |
| 3 | 2017 | 26 | |
| 4 | 2020 | 16 | |
| 5 | 2013 | 15 | |
| 6 | 2018 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2022 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2022 | 2 |
About Jérémie Sublime
Jérémie Sublime is a scholar working on Artificial Intelligence, Media Technology, Statistical and Nonlinear Physics, Atmospheric Science and Ophthalmology, having authored 21 papers that have together received 286 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (6 papers), Advanced Clustering Algorithms Research (6 papers), Remote Sensing and Land Use (4 papers), Complex Network Analysis Techniques (3 papers), Retinal Imaging and Analysis (3 papers), Glaucoma and retinal disorders (2 papers), Geochemistry and Geologic Mapping (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Media Technology (125 citations), Atmospheric Science (77 citations), Artificial Intelligence (97 citations), Ecology (58 citations) and Computer Vision and Pattern Recognition (43 citations). Jérémie Sublime has collaborated with scholars based in France, Chile and Brazil. Frequent co-authors include Maria Trocan, Dino Ienco, Younès Bennani, Nistor Grozavu, Antoine Cornuéjols, Guénaël Cabanès, Basarab Mateï, Michel Pâques, Florence Rossant and Rachid Chelouah. Their work appears in journals such as Remote Sensing, Pattern Recognition, Journal of Artificial Intelligence Research, IEEE Access and IEEE Journal of Selected Topics in Applied Earth Observations 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.