Fadoua Balabdaoui
- Global and Planetary Change top 1%
- Atmospheric Science top 2%
- Environmental Engineering top 2%
- Water Science and Technology top 2%
- Artificial Intelligence top 5%
- Co-authors
- Tilmann GneitingAdrian E. RafteryMichael PolakowskiKaspar RufibachJon A. WellnerLeonhard HeldCécile DurotChristian Lajaunie
- Topics
- Statistical Methods and Inference (11 papers)Statistical Methods and Bayesian Inference (7 papers)Bayesian Methods and Mixture Models (6 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Fadoua Balabdaoui
21 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Global and Planetary Change 1.3k
- Atmospheric Science 1.0k
- Environmental Engineering 550
- Water Science and Technology 486
- Artificial Intelligence 380
Countries citing papers authored by Fadoua Balabdaoui
This map shows the geographic impact of Fadoua Balabdaoui'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 Fadoua Balabdaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadoua Balabdaoui more than expected).
Fields of papers citing papers by Fadoua Balabdaoui
This network shows the impact of papers produced by Fadoua Balabdaoui. 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 Fadoua Balabdaoui. The network helps show where Fadoua Balabdaoui may publish in the future.
Co-authorship network of co-authors of Fadoua Balabdaoui
This figure shows the co-authorship network connecting the top 25 collaborators of Fadoua Balabdaoui. A scholar is included among the top collaborators of Fadoua Balabdaoui 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 Fadoua Balabdaoui. Fadoua Balabdaoui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | Maximum likelihood estimation and confidence bands for a discrete log-concave distribution | 2 |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 50 | |
| 15 | 1 | |
| 16 | Probabilistic Forecasts, Calibration and Sharpnessbreakdown → | 1096 |
| 17 | 9 | |
| 18 | 3 | |
| 19 | Using Bayesian Model Averaging to Calibrate Forecast Ensemblesbreakdown → | 1415 |
| 20 | 20 |
About Fadoua Balabdaoui
Fadoua Balabdaoui is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 21 papers that have together received 2.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Statistical Methods and Bayesian Inference (7 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Global and Planetary Change (1.3k citations), Atmospheric Science (1.0k citations) and Environmental Engineering (550 citations). Fadoua Balabdaoui has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Tilmann Gneiting, Adrian E. Raftery, Michael Polakowski, Kaspar Rufibach, Jon A. Wellner, Leonhard Held, Cécile Durot, Christian Lajaunie, Jean‐Pierre Bocquet‐Appel and Shobini Rajan. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Monthly Weather Review.
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.