Paweł Wawrzyński

676 total citations
27 papers, 417 citations indexed

About

Paweł Wawrzyński is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Paweł Wawrzyński has authored 27 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Paweł Wawrzyński's work include Reinforcement Learning in Robotics (10 papers), Neural Networks and Applications (6 papers) and Robotic Locomotion and Control (5 papers). Paweł Wawrzyński is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Neural Networks and Applications (6 papers) and Robotic Locomotion and Control (5 papers). Paweł Wawrzyński collaborates with scholars based in Poland, China and Switzerland. Paweł Wawrzyński's co-authors include Dongliang Chen, Zhihan Lv, Ajay Kumar Tanwani, Andrzej Pacut, Jakub Możaryn, Robert Nowak, Kamil Rafał Deja, Paweł Kołodziejczyk, T. P. Trzcinski and Bartłomiej Twardowski and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Paweł Wawrzyński

26 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paweł Wawrzyński Poland	9	204	100	83	56	56	27	417
Vali Derhami Iran	13	236 1.2×	66 0.7×	115 1.4×	88 1.6×	116 2.1×	60	507
Xuyan Tu China	11	206 1.0×	60 0.6×	85 1.0×	51 0.9×	65 1.2×	107	439
Husam Ahmed Al Hamad Saudi Arabia	8	236 1.2×	56 0.6×	69 0.8×	53 0.9×	120 2.1×	19	481
Alexandra-Bianca Borlea Romania	5	180 0.9×	72 0.7×	35 0.4×	36 0.6×	88 1.6×	11	408
Mohamadtaghi Rahimi Iran	7	133 0.7×	39 0.4×	79 1.0×	50 0.9×	68 1.2×	14	443
Ghodrat Sepidnam Iran	4	198 1.0×	59 0.6×	92 1.1×	33 0.6×	67 1.2×	11	462
Magnus Pedersen United Kingdom	4	127 0.6×	57 0.6×	59 0.7×	24 0.4×	60 1.1×	12	405
Arjun Chandra United Kingdom	9	259 1.3×	35 0.3×	107 1.3×	72 1.3×	73 1.3×	16	449
Bryar A. Hassan Iraq	11	239 1.2×	43 0.4×	60 0.7×	72 1.3×	78 1.4×	30	472
Xiao-Zhi Gao Finland	13	261 1.3×	81 0.8×	62 0.7×	39 0.7×	54 1.0×	38	482

Countries citing papers authored by Paweł Wawrzyński

Since Specialization

Citations

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

Fields of papers citing papers by Paweł Wawrzyński

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Wawrzyński

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Wawrzyński. A scholar is included among the top collaborators of Paweł Wawrzyński 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 Paweł Wawrzyński. Paweł Wawrzyński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wawrzyński, Paweł, et al.. (2023). Least Redundant Gated Recurrent Neural Network. 1–10. 1 indexed citations

Wawrzyński, Paweł, et al.. (2022). Logarithmic Continual Learning. IEEE Access. 10. 117001–117010. 4 indexed citations

Wawrzyński, Paweł, et al.. (2022). ACERAC: Efficient Reinforcement Learning in Fine Time Discretization. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2719–2731. 1 indexed citations

Wawrzyński, Paweł, et al.. (2020). Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. 1–8. 2 indexed citations

Wawrzyński, Paweł, et al.. (2020). DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. 1–6. 8 indexed citations

Chen, Dongliang, Paweł Wawrzyński, & Zhihan Lv. (2020). Cyber security in smart cities: A review of deep learning-based applications and case studies. Sustainable Cities and Society. 66. 102655–102655. 176 indexed citations

Twardowski, Bartłomiej, et al.. (2019). Widget detection on screenshots using computer vision and machine learning algorithms. 11. 28–28. 1 indexed citations

Nowak, Robert, et al.. (2019). Machine Learning-Based Predictions of Customers’ Decisions in Car Insurance. Applied Artificial Intelligence. 33(9). 817–828. 7 indexed citations

Wawrzyński, Paweł. (2017). ASD+M: Automatic parameter tuning in stochastic optimization and on-line learning. Neural Networks. 96. 1–10. 5 indexed citations

10.

Wawrzyński, Paweł, et al.. (2015). Comparison of two efficient control strategies for two-wheeled balancing robot. 744–749. 7 indexed citations

11.

Wawrzyński, Paweł. (2015). Robot's velocity and tilt estimation through computationally efficient fusion of proprioceptive sensors readouts. 738–743. 1 indexed citations

12.

Wawrzyński, Paweł. (2015). Control Policy with Autocorrelated Noise in Reinforcement Learning for Robotics. International Journal of Machine Learning and Computing. 5(2). 91–95. 31 indexed citations

13.

Wawrzyński, Paweł, et al.. (2014). Robust estimation of walking robots velocity and tilt using proprioceptive sensors data fusion. Robotics and Autonomous Systems. 66. 44–54. 8 indexed citations

14.

Wawrzyński, Paweł, et al.. (2013). dotRL: A platform for rapid Reinforcement Learning methods development and validation. Federated Conference on Computer Science and Information Systems. 129–136. 3 indexed citations

15.

Wawrzyński, Paweł, et al.. (2013). Learning population of spiking neural networks with perturbation of conductances. 1–6. 1 indexed citations

16.

Wawrzyński, Paweł & Ajay Kumar Tanwani. (2012). Autonomous reinforcement learning with experience replay. Neural Networks. 41. 156–167. 41 indexed citations

17.

Wawrzyński, Paweł. (2010). Fixed point method of step-size estimation for on-line neural network training. 18. 1–6. 4 indexed citations

18.

Wawrzyński, Paweł. (2009). Real-time reinforcement learning by sequential Actor–Critics and experience replay. Neural Networks. 22(10). 1484–1497. 65 indexed citations

19.

Wawrzyński, Paweł. (2007). Learning to Control a 6-Degree-of-Freedom Walking Robot. 15. 698–705. 9 indexed citations

20.

Wawrzyński, Paweł & Andrzej Pacut. (2005). Model-free off-policy reinforcement learning in continuous environment. 2. 1091–1096. 10 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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