Bohdana Ratitch
- Statistics and Probability top 1%
- Economics and Econometrics top 5%
- Statistics, Probability and Uncertainty top 10%
- Artificial Intelligence
- Epidemiology
- Co-authors
- Michael O’KellyIlya LipkovichCraig MallinckrodtRobert TosielloGeert MolenberghsPritibha SinghJonathan W. BartlettAlex Dmitrienko
- Topics
- Statistical Methods in Clinical Trials (18 papers)Advanced Causal Inference Techniques (12 papers)Health Systems, Economic Evaluations, Quality of Life (9 papers)
- Cited by
- Statistics and ProbabilityEconomics and EconometricsStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaStatistics in MedicineJournal of Medical Internet Research
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Bohdana Ratitch
27 papers receiving 593 citations
Peers
Comparison fields: 5 of 86
- Statistics and Probability 406
- Economics and Econometrics 184
- Statistics, Probability and Uncertainty 34
- Artificial Intelligence 33
- Epidemiology 32
Countries citing papers authored by Bohdana Ratitch
This map shows the geographic impact of Bohdana Ratitch'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 Bohdana Ratitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bohdana Ratitch more than expected).
Fields of papers citing papers by Bohdana Ratitch
This network shows the impact of papers produced by Bohdana Ratitch. 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 Bohdana Ratitch. The network helps show where Bohdana Ratitch may publish in the future.
Co-authorship network of co-authors of Bohdana Ratitch
This figure shows the co-authorship network connecting the top 25 collaborators of Bohdana Ratitch. A scholar is included among the top collaborators of Bohdana Ratitch 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 Bohdana Ratitch. Bohdana Ratitch 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 | 5 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 40 | |
| 7 | 42 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 44 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 31 | |
| 18 | 31 | |
| 19 | Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures | 17 |
| 20 | On characteristics of markov decision processes and reinforcement learning in large domains | 6 |
About Bohdana Ratitch
Bohdana Ratitch is a scholar working on Statistics and Probability, Economics and Econometrics and Applied Psychology, having authored 28 papers that have together received 614 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (12 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). The work is most often cited by research in Statistics and Probability (406 citations), Economics and Econometrics (184 citations) and Statistics, Probability and Uncertainty (34 citations). Bohdana Ratitch has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Michael O’Kelly, Ilya Lipkovich, Craig Mallinckrodt, Robert Tosiello, Geert Molenberghs, Pritibha Singh, Jonathan W. Bartlett, Alex Dmitrienko, Niti Goel and Christy Chuang‐Stein. Their work appears in journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of Medical Internet Research.
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.