Urška Cvek

84 total papers · 955 total citations
52 papers, 735 citations indexed

About

Urška Cvek is a scholar working on Molecular Biology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Urška Cvek has authored 52 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Surgery and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Urška Cvek's work include Data Visualization and Analytics (6 papers), Trauma and Emergency Care Studies (5 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers). Urška Cvek is often cited by papers focused on Data Visualization and Analytics (6 papers), Trauma and Emergency Care Studies (5 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers). Urška Cvek collaborates with scholars based in United States, Japan and Germany. Urška Cvek's co-authors include Marjan Trutschl, Rona S. Scott, Nadejda L. Korneeva, Robert E. Rhoads, John W.B. Hershey, C.A. Bradley, J. Steven Alexander, Christine Birdwell, Georges Grinstein and Fangfang Zhang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Urška Cvek

49 papers receiving 725 citations

Author Peers

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

Author						Papers	Cites
Urška Cvek	326	112	80	67	64	52	735
Marjan Trutschl	305 0.9×	77 0.7×	71 0.9×	59 0.9×	63 1.0×	50	667
Alex Dayton	221 0.7×	109 1.0×	25 0.3×	48 0.7×	22 0.3×	26	643
Heather A. Brown	348 1.1×	58 0.5×	57 0.7×	62 0.9×	56 0.9×	46	852
Jizhou Wang	195 0.6×	61 0.5×	109 1.4×	32 0.5×	20 0.3×	39	718
Shaobo Hu	298 0.9×	150 1.3×	136 1.7×	68 1.0×	13 0.2×	52	878
Shigeto Seno	483 1.5×	71 0.6×	139 1.7×	54 0.8×	17 0.3×	72	884
Yixiao Zhang	273 0.8×	87 0.8×	142 1.8×	37 0.6×	9 0.1×	41	900
Jingyi Song	276 0.8×	55 0.5×	241 3.0×	86 1.3×	15 0.2×	32	772
Yu‐Wei Chang	267 0.8×	44 0.4×	61 0.8×	65 1.0×	15 0.2×	62	768
Jeong‐Hwa Lee	407 1.2×	71 0.6×	60 0.8×	79 1.2×	22 0.3×	66	689

Countries citing papers authored by Urška Cvek

Since Specialization

Citations

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

Fields of papers citing papers by Urška Cvek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urška Cvek. 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 Urška Cvek. The network helps show where Urška Cvek may publish in the future.

Co-authorship network of co-authors of Urška Cvek

This figure shows the co-authorship network connecting the top 25 collaborators of Urška Cvek. A scholar is included among the top collaborators of Urška Cvek 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 Urška Cvek. Urška Cvek 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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