Mariusz Rybnik

468 total citations
13 papers, 205 citations indexed

About

Mariusz Rybnik is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mariusz Rybnik has authored 13 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Mariusz Rybnik's work include Neural Networks and Applications (4 papers), User Authentication and Security Systems (3 papers) and Biometric Identification and Security (3 papers). Mariusz Rybnik is often cited by papers focused on Neural Networks and Applications (4 papers), User Authentication and Security Systems (3 papers) and Biometric Identification and Security (3 papers). Mariusz Rybnik collaborates with scholars based in Poland, France and Lithuania. Mariusz Rybnik's co-authors include Khalid Saeed, Marek Tabędzki, Marcin Adamski, Władysław Homenda, Kurosh Madani, Maciej Szymkowski, Agnieszka Jastrzębska and Rachid Malti and has published in prestigious journals such as IEEE Access, International Journal of Applied Mathematics and Computer Science and International Journal of Computing.

In The Last Decade

Mariusz Rybnik

11 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariusz Rybnik Poland 5 96 67 63 24 19 13 205
Marek Tabędzki Poland 5 103 1.1× 51 0.8× 44 0.7× 19 0.8× 18 0.9× 11 199
Ankan Bansal United States 5 212 2.2× 99 1.5× 20 0.3× 10 0.4× 38 2.0× 6 279
Kamil Grabowski Poland 9 139 1.4× 187 2.8× 93 1.5× 14 0.6× 16 0.8× 29 278
Cheng-Yuan Tang Taiwan 8 131 1.4× 18 0.3× 39 0.6× 59 2.5× 63 3.3× 27 267
Adilson Gonzaga Brazil 8 164 1.7× 50 0.7× 27 0.4× 24 1.0× 48 2.5× 48 286
İbrahim Furkan İnce Türkiye 8 103 1.1× 29 0.4× 30 0.5× 45 1.9× 60 3.2× 43 249
Syafeeza Ahmad Radzi Malaysia 7 149 1.6× 120 1.8× 20 0.3× 5 0.2× 37 1.9× 19 303
Hyung-Il Kim South Korea 7 189 2.0× 140 2.1× 111 1.8× 49 2.0× 61 3.2× 47 336
Alexandru Drîmbărean Ireland 7 192 2.0× 31 0.5× 17 0.3× 39 1.6× 32 1.7× 15 298
Shilpa Sethi India 6 175 1.8× 27 0.4× 19 0.3× 31 1.3× 46 2.4× 19 259

Countries citing papers authored by Mariusz Rybnik

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Rybnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Rybnik

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

All Works

13 of 13 papers shown
1.
Saeed, Khalid, et al.. (2020). A Novel Extension for e-Safety Initiative Based on Developed Fusion of Biometric Traits. IEEE Access. 8. 149887–149898. 5 indexed citations
2.
Homenda, Władysław, Agnieszka Jastrzębska, & Mariusz Rybnik. (2016). Dealing with contaminated datasets: An approach to classifier training. AIP conference proceedings. 1738. 180005–180005.
3.
Rybnik, Mariusz, et al.. (2014). MULTIPLE NEURAL NETWORK MODELS GENERATOR WITH COMPLEXITY ESTIMATION AND SELF-ORGANIZATION ABILITIES. International Journal of Computing. 20–29. 1 indexed citations
4.
5.
Adamski, Marcin, Khalid Saeed, Marek Tabędzki, & Mariusz Rybnik. (2013). Signature System Based on Extended Shape Context Descriptors. 13. 267–272. 2 indexed citations
6.
Rybnik, Mariusz, Marek Tabędzki, Marcin Adamski, & Khalid Saeed. (2013). An Exploration of Keystroke Dynamics Authentication Using Non-fixed Text of Various Length. 245–250. 12 indexed citations
7.
Rybnik, Mariusz & Władysław Homenda. (2013). A harmonization model with partial fuzzy knowledge. 4013. 1366–1371. 1 indexed citations
8.
Rybnik, Mariusz & Władysław Homenda. (2012). Extension of knowledge-driven harmonization model for tonal music. 4. 1–8. 1 indexed citations
9.
Saeed, Khalid, Marek Tabędzki, Mariusz Rybnik, & Marcin Adamski. (2010). K3M: A universal algorithm for image skeletonization and a review of thinning techniques. International Journal of Applied Mathematics and Computer Science. 20(2). 317–335. 125 indexed citations
10.
Rybnik, Mariusz, et al.. (2009). User Authentication with Keystroke Dynamics Using Fixed Text. 70–75. 21 indexed citations
11.
Rybnik, Mariusz, Marek Tabędzki, & Khalid Saeed. (2008). A Keystroke Dynamics Based System for User Identification. 35 indexed citations
12.
Madani, Kurosh, et al.. (2005). Tree-Like Multiple Neural Network Models Generator with a Complexity Estimation Based Decomposer. 18. 60–65. 1 indexed citations
13.
Rybnik, Mariusz, et al.. (2001). A criterion for image thinning : implementation and applications. 7. 77–83. 1 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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