Andrzej Kasiński

34 papers receiving 697 citations

Peers

Andrzej Kasiński
Comparison fields: 5 of 89
  • Electrical and Electronic Engineering 323
  • Computer Vision and Pattern Recognition 212
  • Cognitive Neuroscience 205
  • Artificial Intelligence 182
  • Control and Systems Engineering 132
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Citations per field
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Citations per year

Countries citing papers authored by Andrzej Kasiński

Since Specialization
Citations

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

Fields of papers citing papers by Andrzej Kasiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrzej Kasiński

This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Kasiński. A scholar is included among the top collaborators of Andrzej Kasiński 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 Andrzej Kasiński. Andrzej Kasiński 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 3
2
Dobór sprzęgła magnetycznego do układu napędowego pojazdu podwodnego
0
3
Design, control and applications of the underwater robot Isfar
2
4 248
5 1
6 2
7 7
8
Aktywny pokładowy system wizyjny dla robota autonomicznego
0
9 12
10
The put face database
97
11
Control and environment sensing system for a six-legged robot
14
12 19
13 9
14 20
15
Generalization Properties of SNN Trained with ReSuMe
3
16
Comparison of supervised learning methods for spike time coding in spiking neural networks
87
17
Generalization properties of spiking neurons trained with ReSuMe method.
1
18
Zintegrowane symulatory chodu w zastosowaniu do syntezy algorytmów sterowania
0
19 13
20 1

About Andrzej Kasiński

Andrzej Kasiński is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 38 papers that have together received 745 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Locomotion and Control (6 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Cognitive Neuroscience (205 citations), Computer Vision and Pattern Recognition (212 citations) and Control and Systems Engineering (132 citations). Andrzej Kasiński has collaborated with scholars based in Poland and China. Frequent co-authors include Filip Ponulak, Adam Schmidt, Marek Kraft, Dominik Belter, Piotr Skrzypczyński, Krzysztof Walas, Jan Celichowski, Wojciech Giernacki, Juliusz Huber and Przemysław Lisiński. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Electromyography and Kinesiology and Journal of Intelligent & Robotic 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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