Filip Rudziński

632 total citations
24 papers, 313 citations indexed

About

Filip Rudziński is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Filip Rudziński has authored 24 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Filip Rudziński's work include Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Filip Rudziński is often cited by papers focused on Fuzzy Logic and Control Systems (9 papers), Neural Networks and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Filip Rudziński collaborates with scholars based in Poland. Filip Rudziński's co-authors include Marian B. Gorzałczany and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and IEEE Internet of Things Journal.

In The Last Decade

Filip Rudziński

22 papers receiving 307 citations

Peers

Filip Rudziński
Mir Md. Jahangir Kabir Bangladesh
Wenguo Ai China
Shuning Wu China
Arindam Chaudhuri India
Pierre-Édouard Portier France
Fabrizio Carcillo Belgium
Sylvie Calabretto France
Jose M. Moyano Spain
Johannes Jurgovsky Germany
Hewijin Christine Jiau Taiwan
Mir Md. Jahangir Kabir Bangladesh
Filip Rudziński
Citations per year, relative to Filip Rudziński Filip Rudziński (= 1×) peers Mir Md. Jahangir Kabir

Countries citing papers authored by Filip Rudziński

Since Specialization
Citations

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

Fields of papers citing papers by Filip Rudziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Rudziński

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

All Works

20 of 20 papers shown
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Gorzałczany, Marian B. & Filip Rudziński. (2022). Intrusion Detection in Internet of Things With MQTT Protocol—An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution. IEEE Internet of Things Journal. 9(24). 24843–24855. 17 indexed citations
4.
Gorzałczany, Marian B., et al.. (2021). Business Intelligence in Airline Passenger Satisfaction Study—A Fuzzy-Genetic Approach with Optimized Interpretability-Accuracy Trade-Off. Applied Sciences. 11(11). 5098–5098. 7 indexed citations
5.
Gorzałczany, Marian B., et al.. (2020). A Modern Data-Mining Approach Based on Genetically Optimized Fuzzy Systems for Interpretable and Accurate Smart-Grid Stability Prediction. Energies. 13(10). 2559–2559. 14 indexed citations
6.
Gorzałczany, Marian B. & Filip Rudziński. (2020). Evolution of SOMs’ Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data. Algorithms. 13(5). 109–109. 2 indexed citations
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Gorzałczany, Marian B. & Filip Rudziński. (2017). Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off. 89. 1–8. 1 indexed citations
9.
Gorzałczany, Marian B. & Filip Rudziński. (2016). Interpretable and accurate medical data classification – a multi-objective genetic-fuzzy optimization approach. Expert Systems with Applications. 71. 26–39. 45 indexed citations
10.
Gorzałczany, Marian B., et al.. (2016). Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures. 3666–3673. 5 indexed citations
11.
Gorzałczany, Marian B. & Filip Rudziński. (2016). An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems. 40. 2227–2234. 7 indexed citations
12.
Gorzałczany, Marian B. & Filip Rudziński. (2016). A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications. 78–83. 6 indexed citations
13.
Gorzałczany, Marian B. & Filip Rudziński. (2015). A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability. Applied Soft Computing. 40. 206–220. 81 indexed citations
14.
Gorzałczany, Marian B. & Filip Rudziński. (2015). Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods – selected problems. Bulletin of the Polish Academy of Sciences Technical Sciences. 63(3). 791–798. 9 indexed citations
15.
Rudziński, Filip. (2015). A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers. Applied Soft Computing. 38. 118–133. 54 indexed citations
16.
Rudziński, Filip, et al.. (2013). The maintenance costs estimation of electrical lines with the use of interpretability-oriented genetic fuzzy rule-based systems. PRZEGLĄD ELEKTROTECHNICZNY. 8. 43–47. 3 indexed citations
17.
Gorzałczany, Marian B. & Filip Rudziński. (2010). Measurement data in genetic fuzzy modelling of dynamic systems. Pomiary Automatyka Kontrola. 1420–1423. 4 indexed citations
18.
Gorzałczany, Marian B. & Filip Rudziński. (2005). Uogólnione, samoorganizujące się sieci neuronowe w problemach tzw. odkrywania wiedzy w bazach danych. 42. 181–195.
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Rudziński, Filip, et al.. (2005). Using Kohonen networks for WWW document classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5775. 526–526. 1 indexed citations
20.
Rudziński, Filip, et al.. (2005). Web traffic prediction with artificial neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5775. 520–520. 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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