Paweł Różycki

710 total citations
23 papers, 504 citations indexed

About

Paweł Różycki is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Paweł Różycki has authored 23 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Paweł Różycki's work include Neural Networks and Applications (11 papers), Advanced Optical Network Technologies (8 papers) and Machine Learning and ELM (4 papers). Paweł Różycki is often cited by papers focused on Neural Networks and Applications (11 papers), Advanced Optical Network Technologies (8 papers) and Machine Learning and ELM (4 papers). Paweł Różycki collaborates with scholars based in Poland, United States and Italy. Paweł Różycki's co-authors include Bogdan M. Wilamowski, Janusz Kolbusz, Pierluigi Siano, Carlo Cecati, Junfei Qiao, Andrzej Jajszczyk, Hao Yu, Tiantian Xie, Xing Wu and Michael S. Pukish and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Paweł Różycki

20 papers receiving 496 citations

Peers

Countries citing papers authored by Paweł Różycki

Since Specialization

Citations

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

Fields of papers citing papers by Paweł Różycki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Różycki

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Error Back Propagation Algorithm with Adaptive Learning Rate 2019 ·Janusz Kolbusz, Paweł Różycki, (unknown), Bogdan M. Wilamowski	5
2	Approximation-based Estimation of Learning Rate for Error Back Propagation Algorithm 2019 ·Paweł Różycki, Janusz Kolbusz, (unknown), Bogdan M. Wilamowski	2
3	Implementation of Deep Neural Networks for Industry Applications 2018 ·Paweł Różycki, Janusz Kolbusz, (unknown), Bogdan M. Wilamowski	5
4	Nonlinear System Modeling Using RBF Networks for Industrial Application 2017 ·IEEE Transactions on Industrial Informatics ·(unknown), Paweł Różycki, Junfei Qiao, Bogdan M. Wilamowski	87
5	Estimation of deep neural networks capabilities based on a trigonometric approach 2016 ·Paweł Różycki, Janusz Kolbusz, Bogdan M. Wilamowski	4
6	PolyNet: A Polynomial-Based Learning Machine for Universal Approximation 2015 ·IEEE Transactions on Industrial Informatics ·Michael S. Pukish, Paweł Różycki, Bogdan M. Wilamowski	7
7	A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies 2015 ·IEEE Transactions on Industrial Electronics ·Carlo Cecati, Janusz Kolbusz, Paweł Różycki, Pierluigi Siano, Bogdan M. Wilamowski	197
8	Dedicated deep neural network architectures and methods for their training 2015 ·Paweł Różycki, Janusz Kolbusz, Bogdan M. Wilamowski	9
9	A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning 2014 ·IEEE Transactions on Neural Networks and Learning Systems ·Xing Wu, Paweł Różycki, Bogdan M. Wilamowski	37
10	The weighted graphs approach for the GMPLS network reliability enhancement 2010 ·Paweł Różycki, Andrzej Jajszczyk	1
11	Service availability analysis of GMPLS network 2010 ·(unknown), Paweł Różycki	1
12	Reliable GMPLS control plane 2009 ·(unknown), Paweł Różycki	3
13	GMPLS Network Reliability Enhancement by Using the Dominating Nodes Approach 2009 ·Paweł Różycki, (unknown), Andrzej Jajszczyk	1
14	Performance examination of the segment recovery in GMPLS 2008 ·(unknown), Paweł Różycki	2
15	Influence of the control plane architecture on QoS in the GMPLS network 2008 ·Paweł Różycki, (unknown)	0
16	Implementation of signaling tunnel in the GMPLS control plane 2008 ·(unknown), Paweł Różycki	1
17	Failure Detection and Notification in GMPLS Control Plane 2007 ·Paweł Różycki, (unknown), Andrzej Jajszczyk	10
18	Recovery of the control plane after failures in ASON/GMPLS networks 2006 ·IEEE Network ·Andrzej Jajszczyk, Paweł Różycki	31
19	GMPLS we współczesnych sieciach transportowych 2004 ·Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne ·Andrzej Jajszczyk, Paweł Różycki	1
20	Analiza czynników determinujących efekty kształcenia studentów AWF na kierunku turystyka 1998 ·Folia Turistica / Akademia Wychowania Fizycznego im. B. Czecha w Krakowie ·Paweł Różycki	1

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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