Michel Weber

4.7k citations
176 papers · 3.4k indexed · h-index 25

Michel Weber

154 papers receiving 3.1k citations

Peers

Michel Weber
Comparison fields: 5 of 161
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Cancer Research 363
  • Plant Science 283
  • Pharmacology 256
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Citations per field
00.5×1.7×
Benjamin Weiss · 1×
Citations per year

Countries citing papers authored by Michel Weber

Since Specialization
Citations

This map shows the geographic impact of Michel 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 Michel Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Weber more than expected).

Fields of papers citing papers by Michel Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel 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 Michel Weber. The network helps show where Michel Weber may publish in the future.

Co-authorship network of co-authors of Michel Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Weber. A scholar is included among the top collaborators of Michel 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 Michel Weber. Michel Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4
Degrowth: Technoscience and the Existential Stakes of a Political Heresy
0
5
Symbolism, Its Meaning and Effect: The Universal Algebra of Culture
1
6 4
7 11
8 5
9
A SHARP CORRELATION INEQUALITY WITH APPLICATION TO ALMOST SURE LOCAL LIMIT THEOREM
4
10 5
11
Gene therapeutic prospects in early onset of severe retinal dystrophy: restoration of vision in RPE65 Briard dogs using an AAV serotype 4 vector that specifically targets the retinal pigmented epithelium.
18
12 8
13 13
14 37
15
À propos d'une démonstration de K. Tandori
1
16
Entropie métrique et convergence presque partout
12
17 18
18 5
19
Analyse asymptotique des processus gaussiens stationnaires
11
20 13

About Michel Weber

Michel Weber is a scholar working on Algebra and Number Theory, Mathematical Physics and Numerical Analysis, having authored 176 papers that have together received 3.4k indexed citations. Recurring topics across this work include Analytic Number Theory Research (25 papers), Mathematical Dynamics and Fractals (22 papers) and Probability and Risk Models (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (2.1k citations) and Algebra and Number Theory (113 citations). Michel Weber has collaborated with scholars based in France, Austria and Switzerland. Frequent co-authors include Jean‐Pierre Changeux, André Sobel, Brigitte Raynaud, Jonathan B. Cohen, Marie Dance, Marie‐Line Bortolin‐Cavaillé, Jérôme Cavaillé, T David-Pfeuty, Agathe Le Van Thaı̈ and Jacques Mallet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Molecular and Cellular Biology.

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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