Krystian Erwiński
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Tomasz TarczewskiRafał SzczepańskiLech M. GrzesiakXiaosong HuEric RogersKrzysztof GałkowskiPavel PakshinJulia Emelianova
- Topics
- Iterative Learning Control Systems (8 papers)Advanced machining processes and optimization (5 papers)Advanced Numerical Analysis Techniques (4 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power ElectronicsIEEE Access
- Partner nations
- PolandUnited KingdomChina
In The Last Decade
Krystian Erwiński
23 papers receiving 257 citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 131
- Mechanical Engineering 82
- Computer Vision and Pattern Recognition 75
- Electrical and Electronic Engineering 51
- Industrial and Manufacturing Engineering 47
Countries citing papers authored by Krystian Erwiński
This map shows the geographic impact of Krystian Erwiński'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 Krystian Erwiński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krystian Erwiński more than expected).
Fields of papers citing papers by Krystian Erwiński
This network shows the impact of papers produced by Krystian Erwiński. 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 Krystian Erwiński. The network helps show where Krystian Erwiński may publish in the future.
Co-authorship network of co-authors of Krystian Erwiński
This figure shows the co-authorship network connecting the top 25 collaborators of Krystian Erwiński. A scholar is included among the top collaborators of Krystian Erwiński 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 Krystian Erwiński. Krystian Erwiński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | 21 | |
| 6 | 14 | |
| 7 | 15 | |
| 8 | 65 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 53 | |
| 20 | Implementacja sieci neuronowej MLP FPNN w strukturze układu programowalnego FPGA | 1 |
About Krystian Erwiński
Krystian Erwiński is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 23 papers that have together received 267 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (8 papers), Advanced machining processes and optimization (5 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (131 citations), Industrial and Manufacturing Engineering (47 citations) and Computer Vision and Pattern Recognition (75 citations). Krystian Erwiński has collaborated with scholars based in Poland, United Kingdom and China. Frequent co-authors include Tomasz Tarczewski, Rafał Szczepański, Lech M. Grzesiak, Xiaosong Hu, Eric Rogers, Krzysztof Gałkowski, Pavel Pakshin, Julia Emelianova and Karol J. Kowalski. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Access.
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.