Małgorzata Wojtyś

71 total papers · 1.6k total citations
36 papers, 207 citations indexed

About

Małgorzata Wojtyś is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Małgorzata Wojtyś has authored 36 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Małgorzata Wojtyś's work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). Małgorzata Wojtyś is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). Małgorzata Wojtyś collaborates with scholars based in Poland, Greece and United Kingdom. Małgorzata Wojtyś's co-authors include Giampiero Marra, Rosalba Radice, Tomasz Grodzki, Janusz Wójcik, Konrad Ptaszyński, Kajetan Kiełbowski, Bartosz Kubisa, Jan Mielniczuk, Jarosław Pieróg and Piotr Waloszczyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomolecules and Computational Statistics & Data Analysis.

In The Last Decade

Małgorzata Wojtyś

26 papers receiving 197 citations

Author Peers

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

Author						Papers	Cites
Małgorzata Wojtyś	53	35	27	26	26	36	207
Mahendra Singh	33 0.6×	22 0.6×	23 0.9×	54 2.1×	17 0.7×	36	226
Hyoyoung Choo‐Wosoba	22 0.4×	40 1.1×	9 0.3×	31 1.2×	25 1.0×	24	185
Frank O’Brien	25 0.5×	10 0.3×	9 0.3×	28 1.1×	21 0.8×	37	236
Deepak Nag Ayyala	54 1.0×	12 0.3×	17 0.6×	13 0.5×	9 0.3×	33	197
Elaheh Zarean	28 0.5×	5 0.1×	12 0.4×	25 1.0×	21 0.8×	27	242
Ozan Dikilitas	66 1.2×	5 0.1×	20 0.7×	14 0.5×	18 0.7×	28	206
Kamyar Mansori	22 0.4×	6 0.2×	24 0.9×	32 1.2×	14 0.5×	35	275
Michel Grzebyk	7 0.1×	20 0.6×	19 0.7×	38 1.5×	14 0.5×	30	278
Mia Klinten Grand	27 0.5×	25 0.7×	19 0.7×	21 0.8×	22 0.8×	28	227
Masako Nishikawa	28 0.5×	12 0.3×	8 0.3×	69 2.7×	8 0.3×	25	256

Countries citing papers authored by Małgorzata Wojtyś

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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