Mohamed Hebiri
- Statistics and Probability top 5%
- Artificial Intelligence
- Computational Mechanics top 10%
- Molecular Biology
- Control and Systems Engineering
- Co-authors
- Johannes LedererSara van de GeerArnak S. DalalyanPierre AlquierMassimiliano PontilCristina ButuceaTomoyuki MorimaeLuca Oneto
- Topics
- Statistical Methods and Inference (7 papers)Sparse and Compressive Sensing Techniques (4 papers)Machine Learning and Algorithms (4 papers)
- Partner nations
- FranceSwitzerlandJapan
In The Last Decade
Mohamed Hebiri
12 papers receiving 234 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 96
- Artificial Intelligence 70
- Computational Mechanics 65
- Molecular Biology 30
- Control and Systems Engineering 21
Countries citing papers authored by Mohamed Hebiri
This map shows the geographic impact of Mohamed Hebiri'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 Mohamed Hebiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hebiri more than expected).
Fields of papers citing papers by Mohamed Hebiri
This network shows the impact of papers produced by Mohamed Hebiri. 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 Mohamed Hebiri. The network helps show where Mohamed Hebiri may publish in the future.
Co-authorship network of co-authors of Mohamed Hebiri
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Hebiri. A scholar is included among the top collaborators of Mohamed Hebiri 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 Mohamed Hebiri. Mohamed Hebiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 62 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 57 | |
| 10 | 5 | |
| 11 | 50 | |
| 12 | 6 | |
| 13 | 31 |
About Mohamed Hebiri
Mohamed Hebiri is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics, having authored 13 papers that have together received 242 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Sparse and Compressive Sensing Techniques (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Statistics and Probability (96 citations), Computational Mechanics (65 citations) and Artificial Intelligence (70 citations). Mohamed Hebiri has collaborated with scholars based in France, Switzerland and Japan. Frequent co-authors include Johannes Lederer, Sara van de Geer, Arnak S. Dalalyan, Pierre Alquier, Massimiliano Pontil, Cristina Butucea, Tomoyuki Morimae, Luca Oneto and Xavier Siebert. Their work appears in journals such as IEEE Transactions on Information Theory, Physical Review A and Machine Learning.
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.