Caroline Robert
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
Papers in
- Oncology 9
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 5
- Cutaneous Melanoma Detection and Management 3
-
- Melanoma and MAPK Pathways 6
- Co-authors
- Florence Forbes (1 shared paper)Gilles Celeux (1 shared paper)D. M. Titterington (1 shared paper)Manuela Villion (2 shared papers)Jean‐Baptiste Burnet (2 shared papers)Sarah Dorner (2 shared papers)Michèle Prévost (2 shared papers)Gertjan Medema (2 shared papers)
- Journals
- Journal of Clinical Oncology (10 papers)Bayesian Analysis (1 paper)Risk Analysis (1 paper)Water Research (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Caroline Robert
12 papers receiving 655 citations
Caroline Robert's Hit Papers
Peers
Comparison fields: 5 of 131
- Statistics and Probability 324
- Artificial Intelligence 211
- Management Science and Operations Research 65
- Economics and Econometrics 111
- Ecological Modeling 15
Countries citing papers authored by Caroline Robert
This map shows the geographic impact of Caroline Robert'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 Caroline Robert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Robert more than expected).
Fields of papers citing papers by Caroline Robert
This network shows the impact of papers produced by Caroline Robert. 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 Caroline Robert. The network helps show where Caroline Robert may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Robert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deviance information criteria for missing data models Hit paper breakdown → | 2006 | 629 |
| 2 | 2014 | 18 | |
| 3 | 2012 | 8 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2017 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2017 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2022 | 0 |
About Caroline Robert
Caroline Robert is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Artificial Intelligence and Nutrition and Dietetics, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cutaneous Melanoma Detection and Management (3 papers), Fecal contamination and water quality (2 papers), Click Chemistry and Applications (2 papers), Child Nutrition and Water Access (2 papers) and Wastewater Treatment and Reuse (1 paper). The work is most often cited by research in Statistics and Probability (324 citations), Artificial Intelligence (211 citations), Management Science and Operations Research (65 citations), Economics and Econometrics (111 citations) and Ecological Modeling (15 citations). Caroline Robert has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Florence Forbes, Gilles Celeux, D. M. Titterington, Manuela Villion, Jean‐Baptiste Burnet, Sarah Dorner, Michèle Prévost, Gertjan Medema, Patrick Smeets and Ravichandra Karra Gurunath. Their work appears in journals such as Journal of Clinical Oncology, Bayesian Analysis, Risk Analysis, Water Research and European Journal of Cancer.
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.