Claire Monteleoni
- Artificial Intelligence top 1%
- Atmospheric Science top 10%
- Computer Science Applications top 2%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science top 10%
- Co-authors
- Kamalika ChaudhuriAnand D. SarwateDaniel HsuSanjoy DasguptaNir AilonRagesh JaiswalGavin A. SchmidtTommi Jaakkola
- Topics
- Meteorological Phenomena and Simulations (8 papers)Climate variability and models (8 papers)Privacy-Preserving Technologies in Data (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaQuarterly Journal of the Royal Meteorological SocietyTheoretical Computer Science
- Partner nations
- United StatesFrancePoland
In The Last Decade
Claire Monteleoni
32 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 949
- Atmospheric Science 126
- Computer Science Applications 126
- Computer Vision and Pattern Recognition 116
- Sociology and Political Science 115
Countries citing papers authored by Claire Monteleoni
This map shows the geographic impact of Claire Monteleoni'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 Claire Monteleoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Monteleoni more than expected).
Fields of papers citing papers by Claire Monteleoni
This network shows the impact of papers produced by Claire Monteleoni. 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 Claire Monteleoni. The network helps show where Claire Monteleoni may publish in the future.
Co-authorship network of co-authors of Claire Monteleoni
This figure shows the co-authorship network connecting the top 25 collaborators of Claire Monteleoni. A scholar is included among the top collaborators of Claire Monteleoni 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 Claire Monteleoni. Claire Monteleoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | Cooperative Online Learning: Keeping your Neighbors Updated | 1 |
| 7 | 77 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice | 4 |
| 11 | 2 | |
| 12 | Climate prediction via matrix completion | 3 |
| 13 | MRF-Based Spatial Expert Tracking of the Multi-Model Ensemble | 2 |
| 14 | Online clustering with experts | 3 |
| 15 | Streaming k-means approximation | 88 |
| 16 | Differentially Private Support Vector Machines | 5 |
| 17 | Privacy-preserving logistic regression | 262 |
| 18 | A General Agnostic Active Learning Algorithm. | 122 |
| 19 | Online Active Learning in Practice | 1 |
| 20 | Online Learning of Non-stationary Sequences | 33 |
About Claire Monteleoni
Claire Monteleoni is a scholar working on Artificial Intelligence, Atmospheric Science and Global and Planetary Change, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Artificial Intelligence (949 citations), Computer Science Applications (126 citations) and Computational Mathematics (9 citations). Claire Monteleoni has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Kamalika Chaudhuri, Anand D. Sarwate, Daniel Hsu, Sanjoy Dasgupta, Nir Ailon, Ragesh Jaiswal, Gavin A. Schmidt, Tommi Jaakkola, Guillaume Charpiat and Balázs Kégl. Their work appears in journals such as SHILAP Revista de lepidopterología, Quarterly Journal of the Royal Meteorological Society and Theoretical Computer Science.
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.