Maciej Patan

905 total citations
56 papers, 513 citations indexed

About

Maciej Patan is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Maciej Patan has authored 56 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Control and Systems Engineering, 21 papers in Computer Networks and Communications and 15 papers in Artificial Intelligence. Recurrent topics in Maciej Patan's work include Distributed Sensor Networks and Detection Algorithms (17 papers), Iterative Learning Control Systems (16 papers) and Energy Efficient Wireless Sensor Networks (11 papers). Maciej Patan is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (17 papers), Iterative Learning Control Systems (16 papers) and Energy Efficient Wireless Sensor Networks (11 papers). Maciej Patan collaborates with scholars based in Poland, United Kingdom and India. Maciej Patan's co-authors include Dariusz Uciński, Krzysztof Patan, Barbara Bogacka, YangQuan Chen, Christophe Tricaud, Kuresh Youdim, Anthony C. Atkinson, Patrick Johnson, Eric Rogers and Wojciech Paszke and has published in prestigious journals such as Drug Metabolism and Disposition, International Journal of Control and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Maciej Patan

49 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maciej Patan Poland 14 302 187 95 87 63 56 513
Dev Rajnarayan United States 8 121 0.4× 77 0.4× 24 0.3× 42 0.5× 57 0.9× 15 353
Haoyuan Sun China 14 400 1.3× 158 0.8× 26 0.3× 94 1.1× 43 0.7× 77 565
E.H. Bristol Israel 8 512 1.7× 57 0.3× 37 0.4× 85 1.0× 92 1.5× 18 629
Marc Steinberg United States 16 638 2.1× 53 0.3× 42 0.4× 97 1.1× 30 0.5× 39 778
M. Salgado Australia 8 405 1.3× 38 0.2× 35 0.4× 88 1.0× 31 0.5× 14 532
N. Boonsatit Thailand 10 93 0.3× 179 1.0× 50 0.5× 97 1.1× 34 0.5× 23 373
Shengzhong Xu China 4 575 1.9× 74 0.4× 48 0.5× 80 0.9× 19 0.3× 7 651
Gang Cheng China 10 301 1.0× 61 0.3× 201 2.1× 34 0.4× 11 0.2× 25 487
Boris Polyak Russia 10 430 1.4× 54 0.3× 23 0.2× 90 1.0× 78 1.2× 18 565
I‐Kong Fong Taiwan 12 362 1.2× 88 0.5× 29 0.3× 37 0.4× 71 1.1× 48 515

Countries citing papers authored by Maciej Patan

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Patan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Patan

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Patan. A scholar is included among the top collaborators of Maciej Patan 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 Maciej Patan. Maciej Patan 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.
2.
Patan, Krzysztof & Maciej Patan. (2023). Echo-state-network-based iterative learning control of distributed systems. IFAC-PapersOnLine. 56(2). 1057–1062.
3.
Patan, Krzysztof & Maciej Patan. (2022). Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling. 2022 International Joint Conference on Neural Networks (IJCNN). 197. 1–8. 2 indexed citations
4.
Uciński, Dariusz & Maciej Patan. (2021). Maximin Efficient Sensor Location for Parameter Estimation of Spatiotemporal Systems. 2021 60th IEEE Conference on Decision and Control (CDC). 53. 2601–2606.
5.
Patan, Krzysztof & Maciej Patan. (2019). Neural-network-based iterative learning control of nonlinear systems. ISA Transactions. 98. 445–453. 70 indexed citations
6.
Paszke, Wojciech, et al.. (2018). Application of Iterative Learning Methods to Control of a LEGO Wheeled Mobile Robot. 3. 126–131. 2 indexed citations
7.
Patan, Krzysztof, et al.. (2017). Neural networks in design of iterative learning control for nonlinear systems. IFAC-PapersOnLine. 50(1). 13402–13407. 20 indexed citations
8.
Patan, Maciej, et al.. (2014). Robust sensor scheduling via iterative design for parameter estimation of distributed systems. 73. 618–623. 3 indexed citations
9.
Uciński, Dariusz, Anthony C. Atkinson, & Maciej Patan. (2013). mODa 10 - Advances in Model-Oriented Design and Analysis: Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in ... 10-14, 2013. Springer eBooks. 1 indexed citations
10.
Patan, Krzysztof & Maciej Patan. (2011). Optimal training strategies for locally recurrent neural networks. 2 indexed citations
11.
Youdim, Kuresh, Anthony C. Atkinson, Maciej Patan, Barbara Bogacka, & Patrick Johnson. (2010). Potential Application of d-Optimal Designs in the Efficient Investigation of Cytochrome P450 Inhibition Kinetic Models. Drug Metabolism and Disposition. 38(7). 1019–1023. 2 indexed citations
12.
Patan, Maciej & Barbara Bogacka. (2010). Optimum group designs for random-effects nonlinear dynamic processes. Chemometrics and Intelligent Laboratory Systems. 101(2). 73–86. 1 indexed citations
13.
Uciński, Dariusz & Maciej Patan. (2010). Sensor network design for the estimation of spatially distributed processes. International Journal of Applied Mathematics and Computer Science. 20(3). 459–481. 40 indexed citations
14.
Patan, Maciej & Dariusz Uciński. (2008). Optimal scheduling of mobile sensor networks for detection and localization of stationary contamination sources. International Conference on Information Fusion. 1–7. 1 indexed citations
15.
Tricaud, Christophe, Maciej Patan, Dariusz Uciński, & YangQuan Chen. (2008). D-optimal trajectory design of heterogeneous mobile sensors for parameter estimation of distributed systems. 21. 663–668. 25 indexed citations
16.
Patan, Maciej & Barbara Bogacka. (2007). Optimum experimental designs for dynamic systems in the presence of correlated errors. Computational Statistics & Data Analysis. 51(12). 5644–5661. 14 indexed citations
17.
Uciński, Dariusz & Maciej Patan. (2007). D-optimal design of a monitoring network for parameter estimation of distributed systems. Journal of Global Optimization. 39(2). 291–322. 60 indexed citations
18.
Patan, Maciej & Krzysztof Patan. (2005). Optimal observation strategies for model-based fault detection in distributed systems. International Journal of Control. 78(18). 1497–1510. 18 indexed citations
19.
Patan, Maciej. (2004). Optimal Observation Strategies for Parameter Estimation of Distributed Systems. 20 indexed citations
20.
Uciński, Dariusz & Maciej Patan. (2002). OPTIMAL LOCATION OF DISCRETE SCANNING SENSORS FOR PARAMETER ESTIMATION OF DISTRIBUTED SYSTEMS. IFAC Proceedings Volumes. 35(1). 289–294. 13 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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