Jonathan Weber
Impact in
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- Anomaly Detection Techniques and Applications 24
- Topic Modeling 7
-
- Time Series Analysis and Forecasting 22
- Music and Audio Processing 7
- Co-authors
- Germain Forestier (46 shared papers)Lhassane Idoumghar (18 shared papers)Pierre-Alain Müller (14 shared papers)Hassan Ismail Fawaz (10 shared papers)Sébastien Lefèvre (11 shared papers)Maxime Devanne (22 shared papers)François Petitjean (4 shared papers)Cédric Wemmert (6 shared papers)
- Journals
- AIDS (4 papers)Antiviral Therapy (2 papers)Artificial Intelligence in Medicine (2 papers)The Journal of Infectious Diseases (2 papers)Data Mining and Knowledge Discovery (2 papers)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Jonathan Weber
96 papers receiving 4.2k citations
Jonathan Weber's Hit Papers
Peers
Comparison fields: 5 of 188
- Signal Processing 1.5k
- Virology 249
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 585
- Infectious Diseases 343
Countries citing papers authored by Jonathan Weber
This map shows the geographic impact of Jonathan Weber'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 Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Weber more than expected).
Fields of papers citing papers by Jonathan Weber
This network shows the impact of papers produced by Jonathan Weber. 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 Weber. The network helps show where Jonathan Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Weber, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning for time series classification: a review Hit paper breakdown → | 2019 | 2351 |
| 2 | 2018 | 196 | |
| 3 | 2021 | 166 | |
| 4 | 2019 | 98 | |
| 5 | 1993 | 86 | |
| 6 | Proposed World-Health-Organization Staging System for Hiv-Infection and Disease - Preliminary Testing by An International Collaborative Cross-Sectional Study | 1992 | 85 |
| 7 | 2018 | 85 | |
| 8 | 1994 | 70 | |
| 9 | 2015 | 68 | |
| 10 | 2019 | 66 | |
| 11 | 2007 | 63 | |
| 12 | 2005 | 57 | |
| 13 | Risk of AIDS and death at given HIV-RNA and CD4 cell count, in relation to specific antiretroviral drugs in the regimen. | 2005 | 55 |
| 14 | 2021 | 54 | |
| 15 | 2021 | 53 | |
| 16 | 1997 | 50 | |
| 17 | 2018 | 46 | |
| 18 | 2022 | 43 | |
| 19 | 2014 | 39 | |
| 20 | 2011 | 36 |
About Jonathan Weber
Jonathan Weber is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Media Technology and Virology, having authored 106 papers that have together received 4.4k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (24 papers), Time Series Analysis and Forecasting (22 papers), Remote-Sensing Image Classification (11 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Topic Modeling (7 papers), Music and Audio Processing (7 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Signal Processing (1.5k citations), Virology (249 citations), Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (585 citations) and Infectious Diseases (343 citations). Jonathan Weber has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Germain Forestier, Lhassane Idoumghar, Pierre-Alain Müller, Hassan Ismail Fawaz, Sébastien Lefèvre, Maxime Devanne, François Petitjean, Cédric Wemmert, David Sheeren and Caroline Truntzer. Their work appears in journals such as AIDS, Antiviral Therapy, Artificial Intelligence in Medicine, The Journal of Infectious Diseases and Data Mining and Knowledge 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.