Anna Witkowska

464 total citations
22 papers, 333 citations indexed

About

Anna Witkowska is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Anna Witkowska has authored 22 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Anna Witkowska's work include Adaptive Control of Nonlinear Systems (13 papers), Advanced Control Systems Optimization (5 papers) and Inertial Sensor and Navigation (5 papers). Anna Witkowska is often cited by papers focused on Adaptive Control of Nonlinear Systems (13 papers), Advanced Control Systems Optimization (5 papers) and Inertial Sensor and Navigation (5 papers). Anna Witkowska collaborates with scholars based in Poland, Russia and United States. Anna Witkowska's co-authors include Roman Śmierzchalski, Krzysztof Cpałka, Marcin Zalasiński, Joanna Jaworek-Korjakowska, Adam Słowik and Danuta Rutkowska and has published in prestigious journals such as Ocean Engineering, International Journal of Applied Mathematics and Computer Science and IFAC-PapersOnLine.

In The Last Decade

Anna Witkowska

19 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Witkowska Poland 9 251 101 50 36 34 22 333
Renxiang Bu China 10 266 1.1× 168 1.7× 53 1.1× 42 1.2× 15 0.4× 36 336
J.M. Díaz Spain 13 235 0.9× 212 2.1× 57 1.1× 79 2.2× 27 0.8× 42 438
Lihua Liang China 12 273 1.1× 211 2.1× 74 1.5× 87 2.4× 14 0.4× 63 438
Nazli E. Kahveci United States 9 269 1.1× 53 0.5× 75 1.5× 51 1.4× 18 0.5× 26 362
Zhihuan Hu China 7 151 0.6× 168 1.7× 57 1.1× 25 0.7× 14 0.4× 23 302
Yongpeng Weng China 10 281 1.1× 59 0.6× 34 0.7× 35 1.0× 18 0.5× 28 338
Raja Rout India 8 266 1.1× 177 1.8× 66 1.3× 30 0.8× 32 0.9× 24 379
Yong Dai China 9 189 0.8× 112 1.1× 52 1.0× 34 0.9× 20 0.6× 21 298
Jun Ning China 10 159 0.6× 106 1.0× 34 0.7× 18 0.5× 32 0.9× 41 262
Feng Yao China 11 224 0.9× 162 1.6× 21 0.4× 30 0.8× 24 0.7× 30 305

Countries citing papers authored by Anna Witkowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Witkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Witkowska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Witkowska. A scholar is included among the top collaborators of Anna Witkowska 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 Anna Witkowska. Anna Witkowska 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.
Witkowska, Anna, et al.. (2023). An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. Journal of Artificial Intelligence and Soft Computing Research. 13(3). 197–210. 10 indexed citations
2.
Witkowska, Anna, et al.. (2023). Dynamic Positioning Capability Assessment Based on Optimal Thrust Allocation. Polish Maritime Research. 30(2). 28–38. 1 indexed citations
3.
Witkowska, Anna, et al.. (2022). Monitoring the Gas Turbine Start-Up Phase on a Platform Using a Hierarchical Model Based on Multi-Layer Perceptron Networks. Polish Maritime Research. 29(4). 123–131. 5 indexed citations
4.
Witkowska, Anna, et al.. (2021). Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network. Journal of Artificial Intelligence and Soft Computing Research. 11(2). 143–155. 9 indexed citations
5.
Witkowska, Anna, et al.. (2019). Analysis of Impact of Ship Model Parameters on Changes of Control Quality Index in Ship Dynamic Positioning System. Polish Maritime Research. 26(1). 6–14. 6 indexed citations
6.
Witkowska, Anna, et al.. (2019). Marine autonomous surface ship - control system configuration. IFAC-PapersOnLine. 52(8). 409–415. 13 indexed citations
7.
Witkowska, Anna, et al.. (2018). Dynamically Positioned Ship Steering Making Use of Backstepping Method and Artificial Neural Networks. Polish Maritime Research. 25(4). 5–12. 12 indexed citations
8.
Witkowska, Anna & Roman Śmierzchalski. (2018). Adaptive Backstepping Tracking Control for an over–Actuated DP Marine Vessel with Inertia Uncertainties. International Journal of Applied Mathematics and Computer Science. 28(4). 679–693. 6 indexed citations
9.
Witkowska, Anna & Roman Śmierzchalski. (2018). Adaptive dynamic control allocation for dynamic positioning of marine vessel based on backstepping method and sequential quadratic programming. Ocean Engineering. 163. 570–582. 72 indexed citations
10.
Witkowska, Anna, et al.. (2017). Approach Manoeuvre During Emergency Ship-to-Ship Transfer Operation with Oil Spill. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 11(2). 145–151. 1 indexed citations
11.
Witkowska, Anna. (2014). Zastosowanie macierzy pseudo odwrotnej w metodach alokacji pędników układu dynamicznego pozycjonowania statku.
12.
Witkowska, Anna. (2013). Control Design For Slow Speed Positioning. 198–204. 1 indexed citations
13.
Witkowska, Anna. (2013). Control system design for dynamic positioning using vectorial backstepping. Zeszyty Naukowe / Akademia Morska w Szczecinie. 2 indexed citations
14.
Witkowska, Anna. (2013). Dynamic positioning system with vectorial backstepping controller. 842–847. 16 indexed citations
15.
Witkowska, Anna & Roman Śmierzchalski. (2012). Designing a ship course controller by applying the adaptive backstepping method. International Journal of Applied Mathematics and Computer Science. 22(4). 985–997. 37 indexed citations
16.
Witkowska, Anna & Roman Śmierzchalski. (2009). Nonlinear backstepping ship course controller. International Journal of Automation and Computing. 6(3). 277–284. 41 indexed citations
17.
Witkowska, Anna & Roman Śmierzchalski. (2008). Identifying ship parameters with the aid of genetic algorithm. 245–252. 4 indexed citations
18.
Witkowska, Anna & Roman Śmierzchalski. (2007). The use of backstepping method to ship course controller. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 1(3). 2 indexed citations
19.
Witkowska, Anna & Roman Śmierzchalski. (2007). A new approach of genetic algorithms to tuning parameters of backstepping ship course controller. 301–307.
20.
Witkowska, Anna, et al.. (2007). A Backstepping Approach to Ship Course Control. International Journal of Applied Mathematics and Computer Science. 17(1). 73–85. 87 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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