Florence Le Ber
- Signal Processing top 10%
- Data Management and Algorithms 17
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- Land Use and Ecosystem Services 7
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- Rough Sets and Fuzzy Logic 14
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- Agriculture and Rural Development Research 12
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- Constraint Satisfaction and Optimization 10
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- Data Mining Algorithms and Applications 9
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- Semantic Web and Ontologies 9
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- Freshwater macroinvertebrate diversity and ecology 4
- Co-authors
- Amedeo NapoliMarc BenoîtClaire LavigneFrédérique AngevinHervé PiégayCéline SchottCatherine MignoletAdrien Alber
- Journals
- International Journal of Heat and Mass Transfer (2 papers)Journal of Applied Ecology (1 paper)Geomorphology (1 paper)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Florence Le Ber
58 papers receiving 437 citations
Peers
Comparison fields: 5 of 103
- Signal Processing 57
- Geography, Planning and Development 25
- Global and Planetary Change 83
- Soil Science 35
- Water Science and Technology 49
Countries citing papers authored by Florence Le Ber
This map shows the geographic impact of Florence Le Ber'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 Florence Le Ber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Le Ber more than expected).
Fields of papers citing papers by Florence Le Ber
This network shows the impact of papers produced by Florence Le Ber. 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 Florence Le Ber. The network helps show where Florence Le Ber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florence Le Ber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 1 | |
| 3 | 2019 | 3 | |
| 4 | Exploring Temporal Data Using Relational Concept Analysis: An Application to Hydroecological Data. | 2016 | 3 |
| 5 | 2015 | 10 | |
| 6 | 2015 | 2 | |
| 7 | 2014 | 1 | |
| 8 | 2013 | 2 | |
| 9 | Relational Data Exploration by Relational Concept Analysis | 2012 | 2 |
| 10 | 2009 | 28 | |
| 11 | 2008 | 5 | |
| 12 | 2008 | 2 | |
| 13 | 2008 | 4 | |
| 14 | 2006 | 3 | |
| 15 | 2005 | 46 | |
| 16 | 2003 | 2 | |
| 17 | Using DL for a Case-Based Explanation System | 2002 | 1 |
| 18 | Design and comparison of lattices of topological relations based on galois lattice theory | 2002 | 7 |
| 19 | Coordonner des choix de cultures sous contraintes environnementales : des jeux de rôles aux modèles multi-agents | 1999 | 2 |
| 20 | 1998 | 20 |
About Florence Le Ber
Florence Le Ber is a scholar working on Signal Processing, Computational Theory and Mathematics and Ecology, Evolution, Behavior and Systematics, having authored 64 papers that have together received 469 indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Rough Sets and Fuzzy Logic (14 papers), Agriculture and Rural Development Research (12 papers), Constraint Satisfaction and Optimization (10 papers), Data Mining Algorithms and Applications (9 papers), Semantic Web and Ontologies (9 papers), Land Use and Ecosystem Services (7 papers) and Freshwater macroinvertebrate diversity and ecology (4 papers). The work is most often cited by research in Signal Processing (57 citations), Geography, Planning and Development (25 citations) and Global and Planetary Change (83 citations). Florence Le Ber has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Amedeo Napoli, Marc Benoît, Claire Lavigne, Frédérique Angevin, Hervé Piégay, Céline Schott, Catherine Mignolet, Adrien Alber, Katarzyna Adamczyk and Hervé Monod. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Applied Ecology and Geomorphology.
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.