Danuta Roman-Liu

73 total papers · 1.1k total citations
53 papers, 809 citations indexed

About

Danuta Roman-Liu is a scholar working on Social Psychology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Danuta Roman-Liu has authored 53 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Social Psychology, 24 papers in Biomedical Engineering and 23 papers in Pharmacology. Recurrent topics in Danuta Roman-Liu's work include Ergonomics and Musculoskeletal Disorders (26 papers), Musculoskeletal pain and rehabilitation (23 papers) and Muscle activation and electromyography studies (21 papers). Danuta Roman-Liu is often cited by papers focused on Ergonomics and Musculoskeletal Disorders (26 papers), Musculoskeletal pain and rehabilitation (23 papers) and Muscle activation and electromyography studies (21 papers). Danuta Roman-Liu collaborates with scholars based in Poland, Belgium and Sweden. Danuta Roman-Liu's co-authors include Tomasz Tokarski, Maria Konarska, Tomasz Wiśniewski, Tomasz Tokarski, Joanna Bugajska, Krzysztof Kȩdzior, Maria Widerszal‐Bazyl, Arne Aarås, Adam Wittek and Zbigniew Lozia and has published in prestigious journals such as PLoS ONE, Gait & Posture and Ergonomics.

In The Last Decade

Danuta Roman-Liu

47 papers receiving 759 citations

Author Peers

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

Author Last Decade Papers Cites
Danuta Roman-Liu 367 340 322 154 138 53 809
Jeffrey E. Fernandez 337 0.9× 421 1.2× 249 0.8× 194 1.3× 181 1.3× 50 1.0k
Nicolas Vignais 226 0.6× 278 0.8× 194 0.6× 107 0.7× 114 0.8× 43 851
Donald S. Bloswick 484 1.3× 323 0.9× 225 0.7× 188 1.2× 43 0.3× 62 884
Kurt Jørgensen 467 1.3× 216 0.6× 346 1.1× 352 2.3× 88 0.6× 22 957
Yong‐Ku Kong 377 1.0× 468 1.4× 348 1.1× 110 0.7× 218 1.6× 73 880
Mark Boocock 416 1.1× 201 0.6× 186 0.6× 267 1.7× 45 0.3× 54 876
James A. Foulke 463 1.3× 544 1.6× 309 1.0× 164 1.1× 452 3.3× 23 1.1k
Jerome J. Congleton 319 0.9× 267 0.8× 116 0.4× 254 1.6× 62 0.4× 46 704
Göran M Hägg 470 1.3× 399 1.2× 367 1.1× 158 1.0× 136 1.0× 36 827
Rammohan V. Maikala 287 0.8× 213 0.6× 164 0.5× 187 1.2× 61 0.4× 46 747

Countries citing papers authored by Danuta Roman-Liu

Since Specialization
Citations

This map shows the geographic impact of Danuta Roman-Liu'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 Danuta Roman-Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Roman-Liu more than expected).

Fields of papers citing papers by Danuta Roman-Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danuta Roman-Liu. 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 Danuta Roman-Liu. The network helps show where Danuta Roman-Liu may publish in the future.

Co-authorship network of co-authors of Danuta Roman-Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Roman-Liu. A scholar is included among the top collaborators of Danuta Roman-Liu 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 Danuta Roman-Liu. Danuta Roman-Liu 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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