Maciej Patan

49 papers receiving 498 citations

Peers

Maciej Patan
Comparison fields: 5 of 57
  • Control and Systems Engineering 302
  • Computer Networks and Communications 187
  • Mechanical Engineering 95
  • Artificial Intelligence 87
  • Computational Theory and Mathematics 63
Replace Boris Polyak with:
Boris Polyak Russia
E.H. Bristol Israel
Shengzhong Xu China
M. Salgado Australia
I‐Kong Fong Taiwan
N. Boonsatit Thailand
Sermsak Uatrongjit Thailand
Dev Rajnarayan United States
C. Durieu France
Sheng-Guo Wang United States
Maciej Patan relative to Boris Polyak Russia Boris Polyak's profile →
Citations per field
00.5×4.1×
Boris Polyak · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 70
7 2
8 6
9 20
10 3
11
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
1
12 15
13
Optimal training strategies for locally recurrent neural networks
2
14 17
15 2
16 40
17
Optimal scheduling of mobile sensor networks for detection and localization of stationary contamination sources
1
18 25
19 14
20 13

About Maciej Patan

Maciej Patan is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 56 papers that have together received 513 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (17 papers), Iterative Learning Control Systems (16 papers) and Energy Efficient Wireless Sensor Networks (11 papers). The work is most often cited by research in Control and Systems Engineering (302 citations), Computer Networks and Communications (187 citations) and Statistics, Probability and Uncertainty (52 citations). Maciej Patan has collaborated with scholars based in Poland, United Kingdom and India. Frequent co-authors include Dariusz Uciński, Krzysztof Patan, Barbara Bogacka, YangQuan Chen, Christophe Tricaud, Anthony C. Atkinson, Kuresh Youdim, Patrick Johnson, Eric Rogers and Wojciech Paszke. Their work appears in journals such as Drug Metabolism and Disposition, International Journal of Control and Chemometrics and Intelligent Laboratory Systems.

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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