M. Gorgoń

3.2k total citations
51 papers, 583 citations indexed

About

M. Gorgoń is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, M. Gorgoń has authored 51 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in M. Gorgoń's work include Advanced Vision and Imaging (14 papers), Video Surveillance and Tracking Methods (12 papers) and CCD and CMOS Imaging Sensors (10 papers). M. Gorgoń is often cited by papers focused on Advanced Vision and Imaging (14 papers), Video Surveillance and Tracking Methods (12 papers) and CCD and CMOS Imaging Sensors (10 papers). M. Gorgoń collaborates with scholars based in Poland, Brazil and United Kingdom. M. Gorgoń's co-authors include Tomasz Kryjak, Joanna Jaworek-Korjakowska, M. Jabłoński, Grzegorz Dyduch, Andrzej Brodzicki, P. Pawlik, Paweł Skruch, Ryszard Tadeusiewicz, Vanderlei Bonato and Christos-Savvas Bouganis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Measurement.

In The Last Decade

M. Gorgoń

48 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Gorgoń Poland	15	338	157	132	54	51	51	583
Xiaofeng Mao China	16	196 0.6×	99 0.6×	223 1.7×	84 1.6×	30 0.6×	38	698
Mattias O’Nils Sweden	15	301 0.9×	308 2.0×	102 0.8×	86 1.6×	16 0.3×	146	899
Xiaogang Du China	13	230 0.7×	122 0.8×	116 0.9×	22 0.4×	98 1.9×	35	497
Seung‐Hwan Bae South Korea	10	647 1.9×	94 0.6×	211 1.6×	139 2.6×	23 0.5×	28	788
Alexandre Sablayrolles France	5	437 1.3×	55 0.4×	261 2.0×	42 0.8×	102 2.0×	7	756
Roman Solovyev Russia	6	180 0.5×	51 0.3×	92 0.7×	36 0.7×	29 0.6×	34	383
Mehmet Çelenk United States	13	426 1.3×	34 0.2×	125 0.9×	30 0.6×	151 3.0×	124	712
Shanlin Sun China	10	228 0.7×	92 0.6×	172 1.3×	30 0.6×	26 0.5×	47	736
Xiangyu Wu China	11	166 0.5×	38 0.2×	82 0.6×	82 1.5×	20 0.4×	34	445

Countries citing papers authored by M. Gorgoń

Since Specialization

Citations

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

Fields of papers citing papers by M. Gorgoń

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Gorgoń

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kryjak, Tomasz, et al.. (2024). PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data. 210–217. 1 indexed citations

Brodzicki, Andrzej, et al.. (2020). Transfer Learning Methods as a New Approach in Computer Vision Tasks with Small Datasets. Foundations of Computing and Decision Sciences. 45(3). 179–193. 25 indexed citations

Jaworek-Korjakowska, Joanna, et al.. (2019). A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images. Computerized Medical Imaging and Graphics. 79. 101686–101686. 38 indexed citations

Kryjak, Tomasz, et al.. (2016). Real-time hardware–software embedded vision system for ITS smart camera implemented in Zynq SoC. Journal of Real-Time Image Processing. 15(1). 123–159. 20 indexed citations

Skruch, Paweł, et al.. (2016). FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications. 183–190. 11 indexed citations

Kryjak, Tomasz, et al.. (2015). FPGA based system for real-time structure from motion computation. 1–7. 13 indexed citations

Gorgoń, M., et al.. (2014). FPGA Implementation of Decision Trees and Tree Ensembles for Character Recognition in Vivado Hls. 19(2-3). 71–82. 24 indexed citations

Kryjak, Tomasz & M. Gorgoń. (2013). Real-time implementation of the ViBe foreground object segmentation algorithm. Federated Conference on Computer Science and Information Systems. 591–596. 17 indexed citations

Gorgoń, M., et al.. (2013). Foreground object features extraction with GLCM texture descriptor in FPGA. 157–164. 4 indexed citations

10.

Kryjak, Tomasz, et al.. (2013). Hardware implementation of the PBAS foreground detection method in FPGA. International Conference Mixed Design of Integrated Circuits and Systems. 479–484. 9 indexed citations

11.

Kryjak, Tomasz, et al.. (2012). FPGA implementation of camera tamper detection in real-time. 1–8. 7 indexed citations

12.

Kryjak, Tomasz, et al.. (2012). FPGA implementation of real-time head-shoulder detection using local binary patterns, SVM and foreground object detection. 1–8. 16 indexed citations

13.

Kryjak, Tomasz & M. Gorgoń. (2012). Pipeline Implementation of Peer Group Filtering in FPGA. Computing and Informatics / Computers and Artificial Intelligence. 31(4). 727. 4 indexed citations

14.

Kryjak, Tomasz & M. Gorgoń. (2011). Real-Time Implementation Of Moving Object Detection In Video Surveillance Systems Using Fpga. SHILAP Revista de lepidopterología. 8 indexed citations

15.

Jaworek-Korjakowska, Joanna, et al.. (2011). Neural networks for medical image processing. Bio-Algorithms and Med-Systems. 7(4). 101–110. 1 indexed citations

16.

Gorgoń, M., et al.. (2011). Nowa architektura wizyjnego systemu wbudowanego dedykowana dla kamery inteligentnej. Pomiary, Automatyka, Kontrola. 902–904.

17.

Gorgoń, M.. (2010). Przetwarzanie obrazów wysokiej rozdzielczości w układach FPGA. Pomiary, Automatyka, Kontrola. 752–754. 1 indexed citations

18.

Gorgoń, M., et al.. (2009). Kamera cyfrowa zintegrowana z reprogramowalnym systemem przetwarzania obrazów. Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. 921–929.

19.

Gorgoń, M., et al.. (2007). FPGA-based Road Traffic Videodetector. 412–419. 4 indexed citations

20.

Jabłoński, M. & M. Gorgoń. (2004). Handel-C implementation of classical component labelling algorithm. 387–393. 16 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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