Florence Le Ber

960 total citations
64 papers, 469 citations indexed

About

Florence Le Ber is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Florence Le Ber has authored 64 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 15 papers in Artificial Intelligence and 14 papers in Computational Theory and Mathematics. Recurrent topics in Florence Le Ber's work include Data Management and Algorithms (17 papers), Rough Sets and Fuzzy Logic (14 papers) and Agriculture and Rural Development Research (12 papers). Florence Le Ber is often cited by papers focused on Data Management and Algorithms (17 papers), Rough Sets and Fuzzy Logic (14 papers) and Agriculture and Rural Development Research (12 papers). Florence Le Ber collaborates with scholars based in France, Germany and Switzerland. Florence Le Ber's co-authors include Amedeo Napoli, Marc Benoît, Claire Lavigne, Frédérique Angevin, Hervé Piégay, Céline Schott, Catherine Mignolet, Adrien Alber, Katarzyna Adamczyk and Hervé Monod and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Journal of Applied Ecology and Geomorphology.

In The Last Decade

Florence Le Ber

58 papers receiving 437 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Florence Le Ber France	13	86	83	66	57	52	64	469
Arta Dilo Netherlands	11	107 1.2×	109 1.3×	41 0.6×	90 1.6×	14 0.3×	31	507
Carol Song United States	12	35 0.4×	160 1.9×	38 0.6×	19 0.3×	37 0.7×	68	686
Éric Ramat France	8	37 0.4×	48 0.6×	38 0.6×	13 0.2×	41 0.8×	20	383
Tony Fountain United States	11	223 2.6×	44 0.5×	60 0.9×	27 0.5×	16 0.3×	28	563
Marco Reale New Zealand	13	31 0.4×	100 1.2×	112 1.7×	23 0.4×	33 0.6×	50	584
Tonio Di Battista Italy	12	60 0.7×	54 0.7×	73 1.1×	15 0.3×	24 0.5×	48	471
David Hill United States	15	135 1.6×	105 1.3×	204 3.1×	92 1.6×	30 0.6×	40	867
Régis Sabbadin France	17	124 1.4×	165 2.0×	269 4.1×	36 0.6×	83 1.6×	49	897
Huyong Yan China	10	130 1.5×	34 0.4×	50 0.8×	11 0.2×	46 0.9×	17	522
David R.C. Hill France	15	112 1.3×	139 1.7×	66 1.0×	8 0.1×	39 0.8×	61	640

Countries citing papers authored by Florence Le Ber

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Florence Le Ber

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

All Works

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20 of 20 papers shown

Cellier, Peggy, et al.. (2025). Theoretical comparison of Relational Concept Analysis (RCA) and Graph-FCA (GCA). International Journal of Approximate Reasoning. 186. 109496–109496.

Ber, Florence Le, et al.. (2021). Formal Concept Analysis. Lecture notes in computer science. 1 indexed citations

Ber, Florence Le, et al.. (2019). RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns. Discrete Applied Mathematics. 273. 232–251. 3 indexed citations

Huchard, Marianne, et al.. (2016). Exploring Temporal Data Using Relational Concept Analysis: An Application to Hydroecological Data.. 1624. 299–311. 3 indexed citations

Bringay, Sandra, et al.. (2015). Mining closed partially ordered patterns, a new optimized algorithm. Knowledge-Based Systems. 79. 68–79. 10 indexed citations

Miralles, André, et al.. (2015). Méthode de factorisation progressive pour accroître l’abstraction d’un modèle de classes. Ingénierie des systèmes d information. 20(2). 9–39. 2 indexed citations

Hervé, Dominique, et al.. (2014). Comment les paysans du corridor forestier de Fianarantsoa (Madagascar) dessinent-ils leur territoire ? Des cartes individuelles pour confronter les points de vue. Cybergeo. 1 indexed citations

Ber, Florence Le, et al.. (2013). Treillis de Galois pour la fusion de connaissances spatiales sur des territoires villageois malgaches. Revue d intelligence artificielle. 27(4-5). 595–617. 2 indexed citations

Huchard, Marianne, et al.. (2012). Relational Data Exploration by Relational Concept Analysis. HAL (Le Centre pour la Communication Scientifique Directe). 39–42. 2 indexed citations

10.

Ber, Florence Le, Claire Lavigne, Katarzyna Adamczyk, et al.. (2009). Neutral modelling of agricultural landscapes by tessellation methods—Application for gene flow simulation. Ecological Modelling. 220(24). 3536–3545. 28 indexed citations

11.

Ber, Florence Le & Amedeo Napoli. (2008). The design of an object-based system for representing and classifying spatial structures and relations. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations

12.

Lardon, Sylvie, et al.. (2008). Analyse de l’émergence de connaissances au cours d’un processus collectif. Revue d anthropologie des connaissances. 2(2). 2 indexed citations

13.

Ber, Florence Le, et al.. (2008). Raisonnement à partir de cas et agronomie des territoires. Revue d anthropologie des connaissances. 2(2). 169–193. 4 indexed citations

14.

Metzger, Jean-Luc, Sylvie Lardon, & Florence Le Ber. (2006). Comparaison d'organisations spatiales agricoles. Le système ROSA. Revue internationale de géomatique. 16(2). 195–210. 3 indexed citations

15.

Ber, Florence Le, et al.. (2005). Studying crop sequences with CarrotAge, a HMM-based data mining software. Ecological Modelling. 191(1). 170–185. 46 indexed citations

16.

Ber, Florence Le & Amedeo Napoli. (2003). Object-based representation and classification of spatial structures and relations. 12. 268–275. 2 indexed citations

17.

Metzger, Jean-Luc, Florence Le Ber, & Amedeo Napoli. (2002). Using DL for a Case-Based Explanation System. HAL (Le Centre pour la Communication Scientifique Directe). 203–210. 1 indexed citations

18.

Ber, Florence Le & Amedeo Napoli. (2002). Design and comparison of lattices of topological relations based on galois lattice theory. HAL (Le Centre pour la Communication Scientifique Directe). 37–48. 7 indexed citations

19.

Benoît, Marc, Dominique Hervé, Florence Le Ber, et al.. (1999). Coordonner des choix de cultures sous contraintes environnementales : des jeux de rôles aux modèles multi-agents. 279–292. 2 indexed citations

20.

Ber, Florence Le, et al.. (1998). Modelling the spatial organization of land use in a farming territory. Example of a village in the Plateau Lorrain. Agronomie. 18(2). 103–115. 20 indexed citations

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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