Jonathan Weber

6.0k total citations · 1 hit paper
67 papers, 3.4k citations indexed

About

Jonathan Weber is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Weber has authored 67 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 15 papers in Signal Processing and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Weber's work include Anomaly Detection Techniques and Applications (15 papers), Time Series Analysis and Forecasting (15 papers) and HIV Research and Treatment (7 papers). Jonathan Weber is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Time Series Analysis and Forecasting (15 papers) and HIV Research and Treatment (7 papers). Jonathan Weber collaborates with scholars based in France, United States and Switzerland. Jonathan Weber's co-authors include Germain Forestier, Lhassane Idoumghar, Pierre-Alain Müller, Hassan Ismail Fawaz, Sébastien Lefèvre, Maxime Devanne, François Petitjean, David Sheeren, Valentin Dérangère and Cédric Wemmert and has published in prestigious journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jonathan Weber

64 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for time series classification: a review

2019 2.0k citations Hassan Ismail Fawaz, Germain Forestier et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan Weber France	21	1.4k	1.2k	439	296	240	67	3.4k
Frank Klawonn Germany	36	2.0k 1.4×	374 0.3×	512 1.2×	175 0.6×	240 1.0×	273	5.4k
Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Egypt	42	1.6k 1.1×	269 0.2×	699 1.6×	261 0.9×	22 0.1×	160	4.9k
Brani Vidaković United States	30	292 0.2×	219 0.2×	915 2.1×	194 0.7×	58 0.2×	128	3.2k
Shaohui Liu China	34	600 0.4×	237 0.2×	2.8k 6.3×	443 1.5×	55 0.2×	187	4.7k
Loris Nanni Italy	45	1.7k 1.2×	1.5k 1.2×	3.0k 6.8×	295 1.0×	29 0.1×	260	7.3k
Jesse Davis Belgium	25	2.5k 1.8×	458 0.4×	798 1.8×	290 1.0×	30 0.1×	151	5.9k
Marwa M. Eid Egypt	28	914 0.7×	142 0.1×	352 0.8×	85 0.3×	21 0.1×	153	2.6k
Bart De Moor Belgium	39	616 0.4×	210 0.2×	293 0.7×	203 0.7×	103 0.4×	164	7.8k
Carlos Mosquera Spain	21	420 0.3×	267 0.2×	332 0.8×	98 0.3×	54 0.2×	127	2.6k
John Paisley United States	35	1.7k 1.2×	491 0.4×	3.9k 8.9×	432 1.5×	120 0.5×	108	6.9k

Countries citing papers authored by Jonathan Weber

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Weber. A scholar is included among the top collaborators of Jonathan Weber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Weber. Jonathan Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Devanne, Maxime, et al.. (2025). Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics. Computer Vision and Image Understanding. 254. 104337–104337.

Hibert, Clément, Lise Retailleau, Jean‐Marie Saurel, et al.. (2024). Self-supervised learning of seismological data reveals new eruptive sequences at the Mayotte submarine volcano. Geophysical Journal International. 240(1). 1–12. 1 indexed citations

Deenapanray, Prakash N. K., et al.. (2024). Are Neutrality Targets Alone Sufficient for Protecting Nature? Learning From Land Cover Change and Land Degradation Neutrality Targets in Mauritius. Land Degradation and Development. 36(1). 265–280. 1 indexed citations

Fawaz, Hassan Ismail, Maxime Devanne, Jonathan Weber, et al.. (2023). Time series adversarial attacks: an investigation of smooth perturbations and defense approaches. International Journal of Data Science and Analytics. 19(1). 129–139. 2 indexed citations

Devanne, Maxime, et al.. (2023). Estimating time series averages from latent space of multi-tasking neural networks. Knowledge and Information Systems. 65(11). 4967–5004. 1 indexed citations

Devanne, Maxime, et al.. (2023). Correction: Estimating time series averages from latent space of multi-tasking neural networks. Knowledge and Information Systems. 66(2). 1521–1521. 1 indexed citations

Weber, Jonathan, Cédric Wemmert, Caroline Truntzer, et al.. (2023). Comparison of deep learning architectures for colon cancer mutation detection. SPIRE - Sciences Po Institutional REpository. 9. 360–365. 1 indexed citations

Weber, Jonathan, et al.. (2023). LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment. Sensors. 23(6). 3025–3025. 4 indexed citations

Devanne, Maxime, et al.. (2023). Enhancing Time Series Classification with Self-Supervised Learning. SPIRE - Sciences Po Institutional REpository. 40–47. 5 indexed citations

10.

Weber, Jonathan, Roberta Carriero, Valery Volk, et al.. (2022). Understanding fibrosis pathogenesis via modeling macrophage-fibroblast interplay in immune-metabolic context. Nature Communications. 13(1). 6499–6499. 32 indexed citations

11.

Devanne, Maxime, Jonathan Weber, Caroline Truntzer, et al.. (2022). Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation. Artificial Intelligence in Medicine. 133. 102407–102407. 13 indexed citations

12.

Devanne, Maxime, Jonathan Weber, Caroline Truntzer, et al.. (2021). Deep learning for colon cancer histopathological images analysis. Computers in Biology and Medicine. 136. 104730–104730. 139 indexed citations

13.

Fawaz, Hassan Ismail, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, & Pierre-Alain Müller. (2019). Adversarial Attacks on Deep Neural Networks for Time Series Classification. arXiv (Cornell University). 1–8. 81 indexed citations

14.

Fawaz, Hassan Ismail, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, & Pierre-Alain Müller. (2019). Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks. univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg). 77 indexed citations

15.

Forestier, Germain, François Petitjean, Pavel Senin, et al.. (2018). Surgical motion analysis using discriminative interpretable patterns. Artificial Intelligence in Medicine. 91. 3–11. 46 indexed citations

16.

Koshman, Sherry, et al.. (2013). Metasearch Result Visualization: An Exploratory Study. Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI. 3 indexed citations

17.

Weber, Jonathan. (2006). Shoestring Digital Library: If Existing Digital Library Software Doesn't Suit Your Needs, Create Your Own.. Library journal. 131(12). 30–32. 2 indexed citations

18.

Irwin, Kathleen L., Chou‐Pong Pau, Chi‐Cheng Luo, et al.. (1997). Presence of Human Immunodeficiency Virus (HIV) Type 1 Subtype A Infection in a New York Community with High HIV Prevalence: A Sentinel Site for Monitoring HIV Genetic Diversity in North America. The Journal of Infectious Diseases. 176(6). 1629–1633. 48 indexed citations

19.

Ingrand, Didier, Jonathan Weber, Charles A. Boucher, et al.. (1995). Phase I/II study of 3TC (lamivudine) in HIV-positive, asymptomatic or mild AIDS-related complex patients. AIDS. 9(12). 1323–1330. 28 indexed citations

20.

Weber, Jonathan, Richard G. Hibbs, Ban Mishu, et al.. (1993). A Massive Outbreak of Type E Botulism Associated with Traditional Salted Fish in Cairo. The Journal of Infectious Diseases. 167(2). 451–454. 65 indexed citations

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.

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