François Bavaud

602 total citations
35 papers, 302 citations indexed

About

François Bavaud is a scholar working on Artificial Intelligence, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, François Bavaud has authored 35 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Economics and Econometrics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in François Bavaud's work include Spatial and Panel Data Analysis (5 papers), Regional Economics and Spatial Analysis (4 papers) and Advanced Text Analysis Techniques (4 papers). François Bavaud is often cited by papers focused on Spatial and Panel Data Analysis (5 papers), Regional Economics and Spatial Analysis (4 papers) and Advanced Text Analysis Techniques (4 papers). François Bavaud collaborates with scholars based in Switzerland, United Kingdom and France. François Bavaud's co-authors include Aris Xanthos, Masoumeh Kordi, Christian Kaiser, Yves Le Fur, Leïla Kebir, Marie Delaplace, Nuno Pinto, Jean‐Pierre Müller, António Pais Antunes and Olivier Galland and has published in prestigious journals such as Reviews of Modern Physics, Food Research International and Communications in Mathematical Physics.

In The Last Decade

François Bavaud

29 papers receiving 274 citations

Peers

François Bavaud
Comparison fields: 5 of 92
  • Economics and Econometrics 116
  • Applied Mathematics 44
  • Statistical and Nonlinear Physics 36
  • Transportation 31
  • Global and Planetary Change 30
Replace Zhiyong Yu with:
Zhiyong Yu China
Maria Letizia Bertotti Italy
Dmitrii Silvestrov Sweden
João Saúde Saudi Arabia
Rafael Rigão Souza Brazil
Juhyun Park United Kingdom
Manuel Morán Spain
Marco Cirant Italy
Joana Mohr Brazil
Zhiyong Yu China View profile →
Citations per field, relative to François Bavaud
François Bavaud · 1×
Citations per year, relative to François Bavaud
François Bavaud · 1×

Countries citing papers authored by François Bavaud

Since Specialization
Citations

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

Fields of papers citing papers by François Bavaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Bavaud

This figure shows the co-authorship network connecting the top 25 collaborators of François Bavaud. A scholar is included among the top collaborators of François Bavaud 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 François Bavaud. François Bavaud 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
# Work Indexed citations
1 1
2 0
3 3
4 7
5 5
6 22
7
Clustering of textual networks: analysing open-ended questions in text data of the perception of minerality in wine
1
8 10
9
Textual autocorrelation : formalism and illustrations
1
10
Segmentation and Clustering of Textual Sequences: a Typological Approach
5
11 6
12 7
13
Cellular Automata in Urban Simulation: Basic Notions and Recent Developments
1
14 3
15
Guide de l'analyse statistique de données avec SPSS 6
1
16 10
17 3
18 57
19 1
20 15

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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