Józef Korbicz

2.3k total citations
122 papers, 1.4k citations indexed

About

Józef Korbicz is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Józef Korbicz has authored 122 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Control and Systems Engineering, 59 papers in Artificial Intelligence and 15 papers in Mechanical Engineering. Recurrent topics in Józef Korbicz's work include Fault Detection and Control Systems (89 papers), Advanced Control Systems Optimization (41 papers) and Control Systems and Identification (29 papers). Józef Korbicz is often cited by papers focused on Fault Detection and Control Systems (89 papers), Advanced Control Systems Optimization (41 papers) and Control Systems and Identification (29 papers). Józef Korbicz collaborates with scholars based in Poland, Spain and United Kingdom. Józef Korbicz's co-authors include Marcin Witczak, Marek Kowal, Krzysztof Patan, Andrzej Obuchowicz, Marcin Mrugalski, Roman Monczak, Paweł Filipczuk, Vicenç Puig, Ron J. Patton and José Sá da Costa and has published in prestigious journals such as IEEE Access, AIChE Journal and International Journal of Control.

In The Last Decade

Józef Korbicz

112 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Józef Korbicz Poland 21 839 574 240 201 160 122 1.4k
Yanjun Peng China 21 335 0.4× 343 0.6× 320 1.3× 538 2.7× 276 1.7× 108 1.8k
Jianlin Wang China 19 305 0.4× 240 0.4× 129 0.5× 151 0.8× 27 0.2× 90 1.0k
Ryad Zemouri France 17 286 0.3× 256 0.4× 139 0.6× 55 0.3× 85 0.5× 60 780
Andreas Kroll Germany 19 831 1.0× 234 0.4× 518 2.2× 116 0.6× 13 0.1× 117 1.5k
Jarmo Ilonen Finland 13 213 0.3× 363 0.6× 103 0.4× 186 0.9× 21 0.1× 21 907
Hongpeng Yin China 15 263 0.3× 173 0.3× 90 0.4× 140 0.7× 51 0.3× 49 711
Rui Yao China 12 287 0.3× 156 0.3× 170 0.7× 95 0.5× 28 0.2× 42 825
Xiangping Zhu China 9 820 1.0× 300 0.5× 304 1.3× 125 0.6× 11 0.1× 14 1.2k
A. S. Willsky United States 6 1.0k 1.2× 156 0.3× 232 1.0× 180 0.9× 28 0.2× 12 1.3k

Countries citing papers authored by Józef Korbicz

Since Specialization
Citations

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

Fields of papers citing papers by Józef Korbicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Józef Korbicz

This figure shows the co-authorship network connecting the top 25 collaborators of Józef Korbicz. A scholar is included among the top collaborators of Józef Korbicz 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 Józef Korbicz. Józef Korbicz 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.
Theilliol, Didier, Józef Korbicz, & Janusz Kacprzyk. (2023). Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis. Studies in systems, decision and control. 3 indexed citations
2.
Krzyżak, Adam, et al.. (2023). Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. Computers in Biology and Medicine. 154. 106575–106575. 9 indexed citations
3.
Kowal, Marek, et al.. (2021). Breast cancer nuclei segmentation and classification based on a deep learning approach. International Journal of Applied Mathematics and Computer Science. 31(1). 20 indexed citations
4.
Korbicz, Józef, et al.. (2020). Multivariate Distribution Model for Financial Risks Management.. 416–429.
5.
Witczak, Marcin, Józef Korbicz, & Rafał Józefowicz. (2013). Design of unknown input observers for non-linear stochastic systems and their application to robust fault diagnosis. Control and Cybernetics. 42(1). 10 indexed citations
6.
Kowal, Marek, Paweł Filipczuk, & Józef Korbicz. (2011). Hybrid cytological image segmentation method based on competitive neural network and adaptive thresholding. Pomiary Automatyka Kontrola. 1448–1451. 6 indexed citations
7.
Kowal, Marek, Paweł Filipczuk, Andrzej Obuchowicz, & Józef Korbicz. (2011). COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2. Journal of Medical Informatics & Technologies. 17. 20 indexed citations
8.
Korbicz, Józef. (2009). Sztuczne sieci neuronowe i ich zastosowanie w elektrotechnice i energetyce. PRZEGLĄD ELEKTROTECHNICZNY. 194–200. 5 indexed citations
9.
Korbicz, Józef. (2008). Artificial intelligence in technical diagnostics. Diagnostyka. 7–16. 5 indexed citations
10.
Korbicz, Józef, Marcin Witczak, & Vicenç Puig. (2007). LMI-based strategies for designing observers and unknown input observers for non-linear discrete-time systems. Bulletin of the Polish Academy of Sciences Technical Sciences. 55. 31–42. 37 indexed citations
11.
Korbicz, Józef. (2007). Fault diagnosis of non-linear dynamical systems using analytical and soft computing methods. Journal of Automation Mobile Robotics & Intelligent Systems. 7–23. 2 indexed citations
12.
Kowal, Marek & Józef Korbicz. (2006). Robust fault detection using neuro-fuzzy models. PRZEGLĄD ELEKTROTECHNICZNY. 32–36. 5 indexed citations
13.
Witczak, Marcin & Józef Korbicz. (2006). Fault diagnosis of dynamical systems using evolutionary algorithms. 413–420. 1 indexed citations
14.
Korbicz, Józef. (2006). Robust fault detection using analytical and sort computing methods. Bulletin of the Polish Academy of Sciences Technical Sciences. 54(1). 75–88. 20 indexed citations
15.
Korbicz, Józef & Marcin Witczak. (2005). Soft Computing in Fault Detection and Isolation.. European Society for Fuzzy Logic and Technology Conference. 2–3. 1 indexed citations
16.
Korbicz, Józef, et al.. (2002). Artificial neural network models for fault detection and isolation of industrial processes. Computer Assisted Mechanics and Engineering Sciences. 55–69. 1 indexed citations
17.
Kowal, Marek, Józef Korbicz, Mário J. G. C. Mendes, & J. M. F. Calado. (2002). Fault detection using neuro-fuzzy networks. Systems Science. 28(1). 45–57. 2 indexed citations
18.
Korbicz, Józef, Krzysztof Patan, & Andrzej Obuchowicz. (2001). Neural Network Fault Detection System for Dynamic Processes. Bulletin of the Polish Academy of Sciences Technical Sciences. 301–321. 5 indexed citations
19.
Korbicz, Józef, Krzysztof Patan, & Andrzej Obuchowicz. (1999). Dynamic Neural Networks for Process Modelling in Fault Detection and Isolation Systems. International Journal of Applied Mathematics and Computer Science. 9(3). 519–546. 25 indexed citations
20.
Korbicz, Józef. (1985). State estimation in discrete-time distributed parameter systems under incomplete priori information about the system. Kybernetika. 21(6). 470–479. 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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