Małgorzata Wojtyś
- Surgery
- Statistics and Probability top 10%
- Economics and Econometrics
- Pulmonary and Respiratory Medicine
- Cancer Research
- Co-authors
- Rosalba RadiceGiampiero MarraTomasz GrodzkiJanusz WójcikKonrad PtaszyńskiKajetan KiełbowskiBartosz KubisaJan Mielniczuk
- Topics
- Statistical Methods and Inference (6 papers)Statistical Methods and Bayesian Inference (4 papers)Transplantation: Methods and Outcomes (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomoleculesComputational Statistics & Data Analysis
- Partner nations
- PolandGreeceUnited Kingdom
In The Last Decade
Małgorzata Wojtyś
26 papers receiving 204 citations
Peers
Comparison fields: 5 of 84
- Surgery 54
- Statistics and Probability 34
- Economics and Econometrics 27
- Pulmonary and Respiratory Medicine 26
- Cancer Research 26
Countries citing papers authored by Małgorzata Wojtyś
This map shows the geographic impact of Małgorzata Wojtyś'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 Małgorzata Wojtyś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Wojtyś more than expected).
Fields of papers citing papers by Małgorzata Wojtyś
This network shows the impact of papers produced by Małgorzata Wojtyś. 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 Małgorzata Wojtyś. The network helps show where Małgorzata Wojtyś may publish in the future.
Co-authorship network of co-authors of Małgorzata Wojtyś
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Wojtyś. A scholar is included among the top collaborators of Małgorzata Wojtyś 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 Małgorzata Wojtyś. Małgorzata Wojtyś 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 3 |
About Małgorzata Wojtyś
Małgorzata Wojtyś is a scholar working on Statistics and Probability, Transplantation and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 213 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Statistics and Probability (34 citations), Anesthesiology and Pain Medicine (10 citations) and Cancer Research (26 citations). Małgorzata Wojtyś has collaborated with scholars based in Poland, Greece and United Kingdom. Frequent co-authors include Rosalba Radice, Giampiero Marra, Tomasz Grodzki, Janusz Wójcik, Konrad Ptaszyński, Kajetan Kiełbowski, Bartosz Kubisa, Jan Mielniczuk, Michał Kunc and Piotr Waloszczyk. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomolecules and Computational Statistics & Data Analysis.
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.