Bohdana Ratitch

83 total papers · 1.2k total citations
28 papers, 612 citations indexed

About

Bohdana Ratitch is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Bohdana Ratitch has authored 28 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 9 papers in Economics and Econometrics and 3 papers in Artificial Intelligence. Recurrent topics in Bohdana Ratitch's 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). Bohdana Ratitch is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (12 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Bohdana Ratitch collaborates with scholars based in United States, United Kingdom and Belgium. Bohdana Ratitch's co-authors include Michael O’Kelly, Ilya Lipkovich, Craig Mallinckrodt, Robert Tosiello, Geert Molenberghs, Pritibha Singh, Jonathan W. Bartlett, Niti Goel, Alex Dmitrienko and James Roger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Statistics in Medicine and Journal of Medical Internet Research.

In The Last Decade

Bohdana Ratitch

27 papers receiving 591 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bohdana Ratitch 402 184 34 33 32 28 612
Michael O’Kelly 353 0.9× 180 1.0× 48 1.4× 22 0.7× 28 0.9× 27 547
Sandrine Micallef 288 0.7× 109 0.6× 46 1.4× 15 0.5× 30 0.9× 24 671
Ashkan Ertefaie 306 0.8× 102 0.6× 13 0.4× 57 1.7× 41 1.3× 44 616
David Ohlssen 362 0.9× 184 1.0× 76 2.2× 90 2.7× 29 0.9× 31 626
Lang’o Odondi 192 0.5× 131 0.7× 67 2.0× 15 0.5× 40 1.3× 11 561
Michael K. Smith 170 0.4× 85 0.5× 65 1.9× 16 0.5× 46 1.4× 31 550
Weichung Joseph Shih 375 0.9× 119 0.6× 100 2.9× 25 0.8× 34 1.1× 14 552
Haijun Ma 134 0.3× 113 0.6× 40 1.2× 14 0.4× 39 1.2× 46 596
Kjetil Røysland 269 0.7× 115 0.6× 10 0.3× 24 0.7× 74 2.3× 28 554
Carl‐Fredrik Burman 360 0.9× 170 0.9× 56 1.6× 6 0.2× 17 0.5× 34 581

Countries citing papers authored by Bohdana Ratitch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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