Szymon Bobek

888 total citations
38 papers, 352 citations indexed

About

Szymon Bobek is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Szymon Bobek has authored 38 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Szymon Bobek's work include Context-Aware Activity Recognition Systems (13 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Data Stream Mining Techniques (5 papers). Szymon Bobek is often cited by papers focused on Context-Aware Activity Recognition Systems (13 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Data Stream Mining Techniques (5 papers). Szymon Bobek collaborates with scholars based in Poland, Germany and Belgium. Szymon Bobek's co-authors include Grzegorz J. Nalepa, Krzysztof Kutt, Krzysztof Kluza, Sławomir Tadeja, Lala Rajaoarisoa, Timoleon Kipouros, Jacek Tabor, Łukasz Struski, Moamar Sayed‐Mouchaweh and Marcin Grzegorzek and has published in prestigious journals such as IEEE Access, Sensors and Information Fusion.

In The Last Decade

Szymon Bobek

37 papers receiving 344 citations

Peers

Szymon Bobek

AI

CVPR

CNC

IS

ECP

Yudith Cardinale Venezuela

Hela Ltifi Tunisia

Prableen Kaur India

M. D. Anto Praveena India

Bonny Banerjee United States

Anak Agung Putri Ratna Indonesia

Ihsan Ullah Ireland

Jianru Xue China

Deepali Vora India

Florian Klein Germany

Yudith Cardinale Venezuela

Szymon Bobek

159 ×1.1

AI

80 ×0.9

CVPR

113 ×1.7

CNC

156 ×2.3

IS

58 ×1.0

ECP

Citations per year, relative to Szymon Bobek Szymon Bobek (= 1×) peers Yudith Cardinale

Countries citing papers authored by Szymon Bobek

Since Specialization

Citations

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

Fields of papers citing papers by Szymon Bobek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szymon Bobek

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

All Works

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20 of 20 papers shown

1.

Bobek, Szymon & Grzegorz J. Nalepa. (2025). TSProto: Fusing deep feature extraction with interpretable glass-box surrogate model for explainable time-series classification. Information Fusion. 124. 103357–103357. 1 indexed citations

2.

Bobek, Szymon & Grzegorz J. Nalepa. (2025). Local Universal Rule-based eXplainer (LUX). SoftwareX. 30. 102102–102102. 2 indexed citations

3.

Rajaoarisoa, Lala, et al.. (2024). Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems. Engineering Applications of Artificial Intelligence. 133. 108046–108046. 3 indexed citations

4.

Bobek, Szymon, et al.. (2024). Explainable proactive control of industrial processes. Journal of Computational Science. 81. 102329–102329. 3 indexed citations

5.

Bobek, Szymon, et al.. (2023). Semantic data mining‐based decision support for quality assessment in steel industry. Expert Systems. 41(2). 5 indexed citations

6.

Kutt, Krzysztof, et al.. (2022). BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments. Scientific Data. 9(1). 274–274. 14 indexed citations

7.

Bobek, Szymon, et al.. (2022). KnAC: an approach for enhancing cluster analysis with background knowledge and explanations. Applied Intelligence. 53(12). 15537–15560. 5 indexed citations

8.

Bobek, Szymon, et al.. (2022). Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations. Jagiellonian University Repository (Jagiellonian University). 1–10. 9 indexed citations

9.

Bobek, Szymon, Sławomir Tadeja, Łukasz Struski, et al.. (2021). Virtual Reality-Based Parallel Coordinates Plots Enhanced with Explainable AI and Data-Science Analytics for Decision-Making Processes. Applied Sciences. 12(1). 331–331. 9 indexed citations

10.

Kutt, Krzysztof, et al.. (2020). Personality-Based Affective Adaptation Methods for Intelligent Systems. Sensors. 21(1). 163–163. 6 indexed citations

11.

Bobek, Szymon & Grzegorz J. Nalepa. (2019). Explainability in knowledge discovery from data streams. 1–4. 1 indexed citations

12.

Bobek, Szymon, et al.. (2018). HEARTDROID—Rule engine for mobile and context‐aware expert systems. Expert Systems. 36(1). 8 indexed citations

13.

Nalepa, Grzegorz J., Krzysztof Kutt, & Szymon Bobek. (2018). Mobile platform for affective context-aware systems. Future Generation Computer Systems. 92. 490–503. 31 indexed citations

14.

Köping, Lukas, et al.. (2015). Improving indoor localization by user feedback. International Conference on Information Fusion. 1053–1060. 8 indexed citations

15.

Bobek, Szymon, et al.. (2015). Indoor microlocation with BLE beacons and incremental rule learning. 11. 91–96. 10 indexed citations

16.

Bobek, Szymon, et al.. (2014). Mobile context-based framework for threat monitoring in urban environment with social threat monitor. Multimedia Tools and Applications. 75(17). 10595–10616. 6 indexed citations

17.

Bobek, Szymon, et al.. (2013). Learning sensors usage patterns in mobile context-aware systems. Federated Conference on Computer Science and Information Systems. 993–998. 4 indexed citations

18.

Kluza, Krzysztof, et al.. (2013). Overview of Recommendation Techniques in Business Process Modeling.. 16 indexed citations

19.

Bobek, Szymon. (2011). HeaRT rule inference engine in intelligent systems. 226–228. 1 indexed citations

20.

Bobek, Szymon, et al.. (2010). Overview of rule inference algorithms for structured rule bases. 57–62. 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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