Piotr Duda

1.5k total citations
24 papers, 637 citations indexed

About

Piotr Duda is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Piotr Duda has authored 24 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Signal Processing and 4 papers in Control and Systems Engineering. Recurrent topics in Piotr Duda's work include Data Stream Mining Techniques (20 papers), Anomaly Detection Techniques and Applications (14 papers) and Time Series Analysis and Forecasting (8 papers). Piotr Duda is often cited by papers focused on Data Stream Mining Techniques (20 papers), Anomaly Detection Techniques and Applications (14 papers) and Time Series Analysis and Forecasting (8 papers). Piotr Duda collaborates with scholars based in Poland, Singapore and China. Piotr Duda's co-authors include Maciej Jaworski, Leszek Rutkowski, Lena Pietruczuk, Danuta Rutkowska, Lipo Wang, Dacheng Tao, Adam Krzyżak, Aleksander Byrski, Jinde Cao and Janusz Kacprzyk and has published in prestigious journals such as Information Sciences, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Piotr Duda

23 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piotr Duda Poland 12 453 137 87 64 58 24 637
Maciej Jaworski Poland 12 448 1.0× 133 1.0× 85 1.0× 66 1.0× 56 1.0× 20 630
Ángel Conde Spain 9 332 0.7× 146 1.1× 136 1.6× 118 1.8× 33 0.6× 17 595
Amineh Amini Malaysia 12 358 0.8× 120 0.9× 137 1.6× 37 0.6× 73 1.3× 21 582
Abir Smiti Tunisia 10 302 0.7× 73 0.5× 46 0.5× 49 0.8× 79 1.4× 22 532
Lena Pietruczuk Poland 7 302 0.7× 99 0.7× 60 0.7× 36 0.6× 46 0.8× 8 440
Saket Sathe Switzerland 13 446 1.0× 132 1.0× 221 2.5× 81 1.3× 64 1.1× 33 685
Sin G. Teo Singapore 10 245 0.5× 121 0.9× 141 1.6× 116 1.8× 64 1.1× 27 638
Usue Mori Spain 12 367 0.8× 337 2.5× 162 1.9× 120 1.9× 44 0.8× 24 805
Donglin Wang China 11 361 0.8× 84 0.6× 51 0.6× 46 0.7× 90 1.6× 43 601

Countries citing papers authored by Piotr Duda

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Duda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Duda

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Duda. A scholar is included among the top collaborators of Piotr Duda 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 Piotr Duda. Piotr Duda 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
1.
Rutkowska, Danuta, Piotr Duda, Jinde Cao, et al.. (2024). Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Applied Soft Computing. 161. 111702–111702. 2 indexed citations
2.
Kisiel‐Dorohinicki, Marek, Leszek Rutkowski, Piotr Duda, et al.. (2024). (µ + λ) Evolution Strategy with Socio-cognitive Mutation. Journal of Automation Mobile Robotics & Intelligent Systems. 1–11. 1 indexed citations
3.
Duda, Piotr, et al.. (2024). Accelerating deep neural network learning using data stream methodology. Information Sciences. 669. 120575–120575.
4.
Rutkowska, Danuta, Piotr Duda, Jinde Cao, et al.. (2023). The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Information Sciences. 631. 346–368. 5 indexed citations
5.
Duda, Piotr, et al.. (2023). A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps. Journal of Artificial Intelligence and Soft Computing Research. 13(2). 63–72. 3 indexed citations
6.
Krzyżak, Adam, et al.. (2022). Noise Robust Illumination Invariant Face Recognition Via Bivariate Wavelet Shrinkage in Logarithm Domain. Journal of Artificial Intelligence and Soft Computing Research. 12(3). 169–180. 3 indexed citations
7.
Duda, Piotr, et al.. (2020). A Novel Drift Detection Algorithm Based on Features’ Importance Analysis in a Data Streams Environment. Journal of Artificial Intelligence and Soft Computing Research. 10(4). 287–298. 5 indexed citations
8.
Rutkowski, Leszek, Maciej Jaworski, & Piotr Duda. (2019). Stream Data Mining: Algorithms and Their Probabilistic Properties. 28 indexed citations
9.
Duda, Piotr, et al.. (2019). On Training Deep Neural Networks Using a Streaming Approach. Journal of Artificial Intelligence and Soft Computing Research. 10(1). 15–26. 11 indexed citations
10.
Duda, Piotr, Leszek Rutkowski, Maciej Jaworski, & Danuta Rutkowska. (2018). On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification. IEEE Transactions on Cybernetics. 50(4). 1683–1696. 23 indexed citations
11.
Duda, Piotr, Maciej Jaworski, & Leszek Rutkowski. (2017). On ensemble components selection in data streams scenario with reoccurring concept-drift. 11. 1–7. 6 indexed citations
12.
Duda, Piotr, Maciej Jaworski, & Leszek Rutkowski. (2017). Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks. International Journal of Neural Systems. 28(2). 1750048–1750048. 13 indexed citations
13.
Jaworski, Maciej, Piotr Duda, & Leszek Rutkowski. (2017). New Splitting Criteria for Decision Trees in Stationary Data Streams. IEEE Transactions on Neural Networks and Learning Systems. 29(6). 2516–2529. 65 indexed citations
14.
Jaworski, Maciej, Piotr Duda, & Leszek Rutkowski. (2017). On applying the Restricted Boltzmann Machine to active concept drift detection. 1–8. 13 indexed citations
15.
Duda, Piotr, Maciej Jaworski, & Leszek Rutkowski. (2017). Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. Information Sciences. 460-461. 497–518. 13 indexed citations
16.
Pietruczuk, Lena, Leszek Rutkowski, Maciej Jaworski, & Piotr Duda. (2016). A method for automatic adjustment of ensemble size in stream data mining. 11. 9–15. 6 indexed citations
17.
Rutkowski, Leszek, Maciej Jaworski, Lena Pietruczuk, & Piotr Duda. (2014). The CART decision tree for mining data streams. Information Sciences. 266. 1–15. 177 indexed citations
18.
Duda, Piotr, Maciej Jaworski, Lena Pietruczuk, & Leszek Rutkowski. (2014). A novel application of Hoeffding's inequality to decision trees construction for data streams. 3324–3330. 8 indexed citations
19.
Rutkowski, Leszek, Maciej Jaworski, Lena Pietruczuk, & Piotr Duda. (2013). Decision Trees for Mining Data Streams Based on the Gaussian Approximation. IEEE Transactions on Knowledge and Data Engineering. 26(1). 108–119. 70 indexed citations
20.
Rutkowski, Leszek, Lena Pietruczuk, Piotr Duda, & Maciej Jaworski. (2012). Decision Trees for Mining Data Streams Based on the McDiarmid's Bound. IEEE Transactions on Knowledge and Data Engineering. 25(6). 1272–1279. 86 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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