Laure Berti‐Équille
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Information Systems top 2%
- Computer Science Applications top 1%
- Computer Networks and Communications top 10%
- Co-authors
- Divesh SrivastavaXin Luna DongDong XinPierre GançarskiJavier Borge‐HolthoeferAlice NovelloDoris BarboniPatrick Vignaud
- Topics
- Data Quality and Management (17 papers)Topic Modeling (7 papers)Data Management and Algorithms (5 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- FranceUnited StatesQatar
In The Last Decade
Laure Berti‐Équille
39 papers receiving 926 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 426
- Management Science and Operations Research 293
- Information Systems 272
- Computer Science Applications 228
- Computer Networks and Communications 164
Countries citing papers authored by Laure Berti‐Équille
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 36 | |
| 12 | 8 | |
| 13 | 28 | |
| 14 | 10 | |
| 15 | 92 | |
| 16 | 5 | |
| 17 | Multidimensional Management and Analysis of Quality Measures for CRM Applications at EDF | 1 |
| 18 | 143 | |
| 19 | 5 | |
| 20 | 2 |
About Laure Berti‐Équille
Laure Berti‐Équille is a scholar working on Management Science and Operations Research, Signal Processing and Health Informatics, having authored 46 papers that have together received 966 indexed citations. Recurring topics across this work include Data Quality and Management (17 papers), Topic Modeling (7 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computer Science Applications (228 citations), Management Science and Operations Research (293 citations) and Artificial Intelligence (426 citations). Laure Berti‐Équille has collaborated with scholars based in France, United States and Qatar. Frequent co-authors include Divesh Srivastava, Xin Luna Dong, Dong Xin, Pierre Gançarski, Javier Borge‐Holthoefer, Alice Novello, Doris Barboni, Patrick Vignaud, Kalyan Veeramachaneni and Dongyu Liu. Their work appears in journals such as Pattern Recognition, Ecological Indicators and Computers & Geosciences.
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.