Laure Berti‐Équille

2.4k total citations
46 papers, 966 citations indexed

About

Laure Berti‐Équille is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Laure Berti‐Équille has authored 46 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Management Science and Operations Research and 9 papers in Signal Processing. Recurrent topics in Laure Berti‐Équille's work include Data Quality and Management (17 papers), Topic Modeling (7 papers) and Data Management and Algorithms (5 papers). Laure Berti‐Équille is often cited by papers focused on Data Quality and Management (17 papers), Topic Modeling (7 papers) and Data Management and Algorithms (5 papers). Laure Berti‐Équille collaborates with scholars based in France, United States and Qatar. Laure Berti‐Équille's co-authors include Divesh Srivastava, Xin Luna Dong, Dong Xin, Pierre Gançarski, Javier Borge‐Holthoefer, Patrick Vignaud, Doris Barboni, Alice Novello, Kalyan Veeramachaneni and Dongyu Liu and has published in prestigious journals such as Pattern Recognition, Ecological Indicators and Computers & Geosciences.

In The Last Decade

Laure Berti‐Équille

39 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laure Berti‐Équille France 15 426 293 272 228 164 46 966
Claire Monteleoni United States 12 949 2.2× 88 0.3× 66 0.2× 126 0.6× 91 0.6× 37 1.2k
Honglei Zhuang United States 17 417 1.0× 55 0.2× 206 0.8× 55 0.2× 88 0.5× 45 918
Greg Madey United States 14 180 0.4× 45 0.2× 260 1.0× 255 1.1× 171 1.0× 43 780
An Zhu United States 17 382 0.9× 78 0.3× 59 0.2× 53 0.2× 683 4.2× 33 1.3k
Vipin Kumar United States 8 527 1.2× 50 0.2× 393 1.4× 33 0.1× 201 1.2× 25 1.2k
Jinbao Wang China 13 252 0.6× 40 0.1× 181 0.7× 92 0.4× 241 1.5× 73 835
Leonardo Candela Italy 18 196 0.5× 122 0.4× 410 1.5× 28 0.1× 173 1.1× 70 1.0k
Sudeshna Sarkar India 22 966 2.3× 62 0.2× 298 1.1× 29 0.1× 133 0.8× 125 1.5k
Daniel Rodríguez Spain 20 370 0.9× 34 0.1× 655 2.4× 102 0.4× 191 1.2× 79 1.2k

Countries citing papers authored by Laure Berti‐Équille

Since Specialization
Citations

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

Fields of papers citing papers by Laure Berti‐Équille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laure Berti‐Équille. 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 Laure Berti‐Équille. The network helps show where Laure Berti‐Équille may publish in the future.

Co-authorship network of co-authors of Laure Berti‐Équille

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Berti‐Équille. A scholar is included among the top collaborators of Laure Berti‐Équille 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 Laure Berti‐Équille. Laure Berti‐Équille 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
1.
Berti‐Équille, Laure, et al.. (2025). LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data. arXiv (Cornell University). 3782–3791.
2.
Berti‐Équille, Laure, et al.. (2024). Can Large Language Models be Anomaly Detectors for Time Series?. 1–10. 14 indexed citations
3.
Marcou, Quentin, et al.. (2024). Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. Journal of Biomedical Informatics. 152. 104617–104617. 2 indexed citations
4.
Chaumont, Marc, et al.. (2023). Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. HAL (Le Centre pour la Communication Scientifique Directe). 5790–5793. 1 indexed citations
5.
Berti‐Équille, Laure & Rafael L. G. Raimundo. (2023). Combining Ecological and Socio-Environmental Data and Networks to Achieve Sustainability. Biodiversity Information Science and Standards. 7.
6.
Xu, Lei, Alfredo Cuesta‐Infante, Laure Berti‐Équille, & Kalyan Veeramachaneni. (2022). R&R: Metric-guided Adversarial Sentence Generation. 438–452.
7.
Abbes, Ali Ben, Pedro Luiz Pizzigatti Corrêa, Alison Specht, et al.. (2022). Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning. Earth and Space Science. 9(8). 4 indexed citations
8.
Arnaldo, Ignacio, et al.. (2022). The Need for Interpretable Features. ACM SIGKDD Explorations Newsletter. 24(1). 1–13. 16 indexed citations
9.
Amer-Yahia, Sihem, et al.. (2021). DORA THE EXPLORER. 4769–4773. 5 indexed citations
10.
Berti‐Équille, Laure. (2020). Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
11.
Berti‐Équille, Laure, et al.. (2018). Discovery of genuine functional dependencies from relational data with missing values. Proceedings of the VLDB Endowment. 11(8). 880–892. 40 indexed citations
12.
Berti‐Équille, Laure. (2018). Qualité des données. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
13.
Gançarski, Pierre, et al.. (2017). Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recognition. 73. 259–274. 36 indexed citations
14.
Berti‐Équille, Laure & Mouhamadou Ba. (2016). Veracity of Big Data. Journal of Data and Information Quality. 7(3). 1–3. 8 indexed citations
15.
Gançarski, Pierre, et al.. (2015). Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(5). 1936–1945. 28 indexed citations
16.
Novello, Alice, et al.. (2012). Phytolith signal of aquatic plants and soils in Chad, Central Africa. Review of Palaeobotany and Palynology. 178. 43–58. 92 indexed citations
17.
Berti‐Équille, Laure, et al.. (2011). Assessment and analysis of information quality: a multidimensional model and case studies. SPIRE - Sciences Po Institutional REpository. 2(4). 300–300. 5 indexed citations
18.
Comyn-Wattiau, Isabelle, et al.. (2009). Multidimensional Management and Analysis of Quality Measures for CRM Applications at EDF. RePEc: Research Papers in Economics. 1 indexed citations
19.
Dong, Xin Luna, Laure Berti‐Équille, & Divesh Srivastava. (2009). Truth discovery and copying detection in a dynamic world. Proceedings of the VLDB Endowment. 2(1). 562–573. 143 indexed citations
20.
Berti‐Équille, Laure. (2004). Un état de l'art sur la qualité des données. Ingénierie des systèmes d information. 9(5-6). 117–143. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Claire Monteleoni Breakdown of academic impact, for papers by Honglei Zhuang Breakdown of academic impact, for papers by Greg Madey Breakdown of academic impact, for papers by An Zhu Breakdown of academic impact, for papers by Vipin Kumar Breakdown of academic impact, for papers by Jinbao Wang Breakdown of academic impact, for papers by Leonardo Candela Breakdown of academic impact, for papers by Sudeshna Sarkar Breakdown of academic impact, for papers by Daniel Rodríguez
Rankless by CCL
2026