Marcin Kociołek

523 total citations
17 papers, 315 citations indexed

About

Marcin Kociołek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Marcin Kociołek has authored 17 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Biophysics. Recurrent topics in Marcin Kociołek's work include AI in cancer detection (6 papers), Cell Image Analysis Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Marcin Kociołek is often cited by papers focused on AI in cancer detection (6 papers), Cell Image Analysis Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Marcin Kociołek collaborates with scholars based in Poland, United States and Norway. Marcin Kociołek's co-authors include Michał Strzelecki, Rafał Obuchowicz, Piotr M. Szczypiński, Mary Brady, Adele P. Peskin, Michael Halter, Artur Klepaczko, Michał Kozłowski, Alden Dima and Anne L. Plant and has published in prestigious journals such as Sensors, BMC Bioinformatics and Applied Sciences.

In The Last Decade

Marcin Kociołek

16 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcin Kociołek Poland	9	94	82	75	62	56	17	315
Nikita Moshkov Hungary	7	153 1.6×	89 1.1×	45 0.6×	92 1.5×	21 0.4×	12	340
Alican Bozkurt United States	12	53 0.6×	89 1.1×	189 2.5×	53 0.9×	66 1.2×	24	384
G. van de Wouwer Belgium	7	38 0.4×	109 1.3×	45 0.6×	177 2.9×	24 0.4×	15	302
Zhaobang Liu China	11	24 0.3×	92 1.1×	197 2.6×	68 1.1×	133 2.4×	26	368
Håkan Wieslander Sweden	6	98 1.0×	74 0.9×	39 0.5×	41 0.7×	5 0.1×	9	247
Tháına A. A. Tosta Brazil	14	50 0.5×	341 4.2×	163 2.2×	239 3.9×	48 0.9×	49	509
Ali Hojjatoleslami United Kingdom	10	78 0.8×	25 0.3×	82 1.1×	93 1.5×	36 0.6×	26	347
Aurora Sáez Spain	10	33 0.4×	105 1.3×	22 0.3×	41 0.7×	122 2.2×	21	293
Asok Kumar Maiti India	8	71 0.8×	165 2.0×	106 1.4×	206 3.3×	7 0.1×	10	350
Jane Hung United States	7	152 1.6×	31 0.4×	17 0.2×	59 1.0×	16 0.3×	8	382

Countries citing papers authored by Marcin Kociołek

Since Specialization

Citations

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

Fields of papers citing papers by Marcin Kociołek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Kociołek

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Kociołek. A scholar is included among the top collaborators of Marcin Kociołek 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 Marcin Kociołek. Marcin Kociołek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Kaminski, Pawel M., Rafał Obuchowicz, Michał Strzelecki, et al.. (2025). Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue. Applied Sciences. 15(13). 7526–7526.

Kaminski, Pawel M., Karolina Nurzyǹska, Rafał Obuchowicz, et al.. (2024). Sex Differentiation of Trabecular Bone Structure Based on Textural Analysis of Pelvic Radiographs. Journal of Clinical Medicine. 13(7). 1904–1904. 3 indexed citations

Strzelecki, Michał, et al.. (2024). Artificial intelligence in the detection of skin cancer: State of the art. Clinics in Dermatology. 42(3). 280–295. 32 indexed citations

Nurzyǹska, Karolina, Adam Piórkowski, Michał Strzelecki, et al.. (2023). Differentiating age and sex in vertebral body CT scans – Texture analysis versus deep learning approach. Journal of Applied Biomedicine. 44(1). 20–30. 9 indexed citations

Kociołek, Marcin, Michał Kozłowski, & Antonio Cardone. (2022). A Convolutional Neural Networks-Based Approach for Texture Directionality Detection. Sensors. 22(2). 562–562. 4 indexed citations

Strzelecki, Michał, et al.. (2021). Skin Lesion Detection Algorithms in Whole Body Images. Sensors. 21(19). 6639–6639. 23 indexed citations

Kociołek, Marcin, Michał Strzelecki, & Rafał Obuchowicz. (2020). Does image normalization and intensity resolution impact texture classification?. Computerized Medical Imaging and Graphics. 81. 101716–101716. 68 indexed citations

Klepaczko, Artur, Michał Strzelecki, Marcin Kociołek, Eli Eikefjord, & Arvid Lundervold. (2020). A Multi-Layer Perceptron Network for Perfusion Parameter Estimation in DCE-MRI Studies of the Healthy Kidney. Applied Sciences. 10(16). 5525–5525. 9 indexed citations

Kociołek, Marcin, Peter Bajcsy, Mary Brady, & Antonio Cardone. (2018). Interpolation-Based Gray-Level Co-Occurrence Matrix Computation for Texture Directionality Estimation. 146–151. 1 indexed citations

10.

Kociołek, Marcin, et al.. (2018). On the influence of the image normalization scheme on texture classification accuracy. 152–157. 3 indexed citations

11.

Szczypiński, Piotr M., Artur Klepaczko, & Marcin Kociołek. (2017). Barley defects identification. 216–219. 2 indexed citations

12.

Kociołek, Marcin, Piotr M. Szczypiński, & Artur Klepaczko. (2017). Preprocessing of barley grain images for defect identification. 365–370. 7 indexed citations

13.

Szczypiński, Piotr M., Artur Klepaczko, & Marcin Kociołek. (2017). QMaZda — Software tools for image analysis and pattern recognition. 217–221. 21 indexed citations

14.

Bajcsy, Peter, Antonio Cardone, Joe Chalfoun, et al.. (2015). Survey statistics of automated segmentations applied to optical imaging of mammalian cells. BMC Bioinformatics. 16(1). 330–330. 35 indexed citations

15.

Kociołek, Marcin, et al.. (2015). Nevus atypical pigment network distinction and irregular streaks detection in skin lesions images. 19. 66–70. 4 indexed citations

16.

Chalfoun, Joe, Marcin Kociołek, Alden Dima, et al.. (2012). Segmenting time‐lapse phase contrast images of adjacent NIH 3T3 cells. Journal of Microscopy. 249(1). 41–52. 16 indexed citations

17.

Dima, Alden, John T. Elliott, James J. Filliben, et al.. (2011). Comparison of segmentation algorithms for fluorescence microscopy images of cells. Cytometry Part A. 79A(7). 545–559. 78 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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