G. Surówka

59 total papers · 2.1k total citations
14 papers, 81 citations indexed

About

G. Surówka is a scholar working on Oncology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, G. Surówka has authored 14 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in G. Surówka's work include Cutaneous Melanoma Detection and Management (10 papers), AI in cancer detection (8 papers) and Optical Coherence Tomography Applications (5 papers). G. Surówka is often cited by papers focused on Cutaneous Melanoma Detection and Management (10 papers), AI in cancer detection (8 papers) and Optical Coherence Tomography Applications (5 papers). G. Surówka collaborates with scholars based in Poland. G. Surówka's co-authors include Maciej Ogorzałek, Grzegorz Lis, Jan A. Litwin, Christian Merkwirth, Anna Wojas‐Pelc, Monika Piwowar, Leszek Konieczny, Irena Roterman and Michał Bryliński and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Archives of Dermatological Research.

In The Last Decade

G. Surówka

14 papers receiving 77 citations

Author Peers

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

Author						Papers	Cites
G. Surówka	61	53	24	14	13	14	81
Ben Aldridge	48 0.8×	37 0.7×	11 0.5×	4 0.3×	13 1.0×	7	87
Maximilian Alber	28 0.5×	74 1.4×	9 0.4×	17 1.2×	14 1.1×	13	153
Josien C.A. Jenniskens	40 0.7×	32 0.6×	5 0.2×	28 2.0×	22 1.7×	12	135
Shirong Ma	23 0.4×	36 0.7×	9 0.4×	65 4.6×	6 0.5×	23	215
Katharina Sies	145 2.4×	103 1.9×	8 0.3×	55 3.9×	47 3.6×	17	230
Yuan Wang	20 0.3×	63 1.2×	71 3.0×	33 2.4×	5 0.4×	19	232
Haoran Huang	53 0.9×	143 2.7×	12 0.5×	15 1.1×	5 0.4×	11	253
Sohaib Asif	16 0.3×	82 1.5×	24 1.0×	26 1.9×	26 2.0×	16	219
Cristina L. Saratxaga	65 1.1×	96 1.8×	38 1.6×	14 1.0×	4 0.3×	13	229
Jiyang Zheng	16 0.3×	30 0.6×	7 0.3×	41 2.9×	10 0.8×	18	139

Countries citing papers authored by G. Surówka

Since Specialization

Citations

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

Fields of papers citing papers by G. Surówka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Surówka

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