Bénédicte Le Grand
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Mechanical Engineering
- Management Science and Operations Research top 5%
- Environmental Engineering top 10%
- Co-authors
- Arnaud De MyttenaereFabrice RossiBoris GoldenSébastien HeymannPanayotis AntoniadisMarie-Aude AufaureJoão Paulo BarracaRui L. Aguiar
- Topics
- Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (5 papers)Data Management and Algorithms (5 papers)
In The Last Decade
Bénédicte Le Grand
19 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Electrical and Electronic Engineering 195
- Artificial Intelligence 185
- Mechanical Engineering 108
- Management Science and Operations Research 104
- Environmental Engineering 99
Countries citing papers authored by Bénédicte Le Grand
This map shows the geographic impact of Bénédicte Le Grand'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 Bénédicte Le Grand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bénédicte Le Grand more than expected).
Fields of papers citing papers by Bénédicte Le Grand
This network shows the impact of papers produced by Bénédicte Le Grand. 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 Bénédicte Le Grand. The network helps show where Bénédicte Le Grand may publish in the future.
Co-authorship network of co-authors of Bénédicte Le Grand
This figure shows the co-authorship network connecting the top 25 collaborators of Bénédicte Le Grand. A scholar is included among the top collaborators of Bénédicte Le Grand 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 Bénédicte Le Grand. Bénédicte Le Grand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Mean Absolute Percentage Error for regression modelsbreakdown → | 934 |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | A Data-Driven Analysis to Question Epidemic Models for Citation Cascades on the Blogosphere | 1 |
| 11 | 10 | |
| 12 | 35 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 32 | |
| 20 | 18 |
About Bénédicte Le Grand
Bénédicte Le Grand is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Computer Science Applications, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Management Science and Operations Research (104 citations), Environmental Engineering (99 citations) and Artificial Intelligence (185 citations). Bénédicte Le Grand has collaborated with scholars based in France, Tunisia and Belgium. Frequent co-authors include Arnaud De Myttenaere, Fabrice Rossi, Boris Golden, Sébastien Heymann, Panayotis Antoniadis, Marie-Aude Aufaure, João Paulo Barraca, Rui L. Aguiar, Leandros Tassiulas and Susana Sargento. Their work appears in journals such as Neurocomputing, Journal of Computational Science and Social Network Analysis and Mining.
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.