G. Surówka

2.1k total citations
15 papers, 82 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 15 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 12 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 (11 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 (11 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, Christian Merkwirth, Anna Wojas‐Pelc, Grzegorz Lis, Jan A. Litwin, Michał Bryliński, Leszek Konieczny, Piotr Janik, Irena Roterman and Monika Piwowar 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

15 papers receiving 78 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Surówka Poland 6 62 54 25 14 13 15 82
Ben Aldridge United Kingdom 5 48 0.8× 36 0.7× 11 0.4× 4 0.3× 13 1.0× 7 87
Neda Zamani Tajeddin Iran 4 86 1.4× 62 1.1× 18 0.7× 28 2.2× 4 100
Maximilian Alber Germany 5 30 0.5× 77 1.4× 10 0.4× 18 1.3× 15 1.2× 13 159
Samuel Chapman United States 5 31 0.5× 54 1.0× 5 0.2× 18 1.3× 13 1.0× 7 113
Jinshan Nie China 3 22 0.4× 19 0.4× 22 0.9× 52 3.7× 7 0.5× 6 142
Γεώργιος Παπουτσόγλου Greece 7 15 0.2× 34 0.6× 20 0.8× 83 5.9× 18 1.4× 13 182
Bingfeng Luo China 10 18 0.3× 51 0.9× 45 1.8× 66 4.7× 4 0.3× 25 206
Saif Ur-Rehman United States 3 20 0.3× 20 0.4× 5 0.2× 24 1.7× 5 0.4× 4 77
Xiaoxue Gao Singapore 10 27 0.4× 76 1.4× 16 0.6× 53 3.8× 5 0.4× 32 191
Clare McGenity United Kingdom 6 17 0.3× 51 0.9× 5 0.2× 8 0.6× 15 1.2× 10 107

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

15 of 15 papers shown
1.
Surówka, G. & Maciej Ogorzałek. (2022). Segmentation of the melanoma lesion and its border. International Journal of Applied Mathematics and Computer Science. 32(4). 5 indexed citations
2.
Surówka, G. & Maciej Ogorzałek. (2020). Wavelet-based logistic discriminator of dermoscopy images. Expert Systems with Applications. 167. 113760–113760. 5 indexed citations
3.
Surówka, G. & Maciej Ogorzałek. (2019). Resolution invariant wavelet features of melanoma studied by SVM classifiers. PLoS ONE. 14(2). e0211318–e0211318. 3 indexed citations
4.
Surówka, G.. (2017). Search for Resolution Invariant Wavelet Features of Melanoma Learned by a Limited ANN Classifier. Homo Politicus (Academy of Humanities and Economics in Lodz). 1/2016. 2 indexed citations
5.
Surówka, G. & Maciej Ogorzałek. (2014). On optimal wavelet bases for classification of skin lesion images through ensemble learning. Homo Politicus (Academy of Humanities and Economics in Lodz). 2. 165–170. 4 indexed citations
6.
Surówka, G., et al.. (2013). Dermat : the dermoscopy management system. Homo Politicus (Academy of Humanities and Economics in Lodz). 1 indexed citations
7.
Wojas‐Pelc, Anna, et al.. (2010). Cyclin D1 and D3 expression in melanocytic skin lesions. Archives of Dermatological Research. 302(7). 545–550. 13 indexed citations
8.
Surówka, G.. (2010). Symbolic learning supporting early diagnosis of melanoma. PubMed. 2010. 4104–7. 3 indexed citations
9.
Surówka, G., et al.. (2010). Decision Support System for Skin Cancer Diagnosis. 8 indexed citations
10.
Ogorzałek, Maciej, et al.. (2010). Semantic analysis of skin lesions using radial basis function neural networks. 128–132. 3 indexed citations
11.
Surówka, G.. (2008). Inductive learning of skin lesion images for early diagnosis of melanoma. Homo Politicus (Academy of Humanities and Economics in Lodz). 2. 2623–2627. 1 indexed citations
12.
Surówka, G.. (2008). Supervised learning of melanocytic skin lesion images. Homo Politicus (Academy of Humanities and Economics in Lodz). 121–125. 5 indexed citations
13.
Surówka, G., et al.. (2007). Different Learning Paradigms for the Classification of Melanoid Skin Lesions Using Wavelets. Conference proceedings. 27. 3136–3139. 18 indexed citations
14.
Surówka, G., et al.. (2006). Wavelet based classification of skin lesion images. Bio-Algorithms and Med-Systems. 2(4). 43–50. 7 indexed citations
15.
Bryliński, Michał, et al.. (2006). A tabular approach to the sequence-to-structure relation in proteins (tetrapeptide representation) for de novo protein design.. PubMed. 12(6). BR208–14. 4 indexed citations

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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