Bartosz Świderski

684 total citations
45 papers, 471 citations indexed

About

Bartosz Świderski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bartosz Świderski has authored 45 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bartosz Świderski's work include AI in cancer detection (11 papers), Advanced machining processes and optimization (7 papers) and Image Retrieval and Classification Techniques (5 papers). Bartosz Świderski is often cited by papers focused on AI in cancer detection (11 papers), Advanced machining processes and optimization (7 papers) and Image Retrieval and Classification Techniques (5 papers). Bartosz Świderski collaborates with scholars based in Poland, Japan and Tunisia. Bartosz Świderski's co-authors include S. Osowski, Jarosław Kurek, Michał Kruk, Andrzej Rysz, Walid Barhoumi, Andrzej Cichocki, Monika Słowińska, Marcin Kołodziej, J. Górski and Tomasz Markiewicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Bartosz Świderski

42 papers receiving 440 citations

Peers

Countries citing papers authored by Bartosz Świderski

Since Specialization

Citations

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

Fields of papers citing papers by Bartosz Świderski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartosz Świderski

This figure shows the co-authorship network connecting the top 25 collaborators of Bartosz Świderski. A scholar is included among the top collaborators of Bartosz Świderski 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 Bartosz Świderski. Bartosz Świderski 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	A Hybrid CNN-LSTM Approach for Muscle Artifact Removal from EEG Using Additional EMG Signal Recording 2025 ·Applied Sciences ·Marcin Kołodziej, (unknown), Andrzej Majkowski, Andrzej Rysz, Bartosz Świderski	1
2	Comparative Evaluation of Sequential Neural Network (GRU, LSTM, Transformer) Within Siamese Networks for Enhanced Job–Candidate Matching in Applied Recruitment Systems 2025 ·Applied Sciences ·(unknown), (unknown), (unknown), (unknown), Bartosz Świderski, (unknown), (unknown), (unknown), (unknown), (unknown), Jarosław Kurek	0
3	Custom Loss Functions in XGBoost Algorithm for Enhanced Critical Error Mitigation in Drill-Wear Analysis of Melamine-Faced Chipboard 2024 ·Sensors ·(unknown), Jarosław Kurek, Bartosz Świderski, (unknown)	6
4	Zero-Shot Recommendation AI Models for Efficient Job–Candidate Matching in Recruitment Process 2024 ·Applied Sciences ·Jarosław Kurek, (unknown), (unknown), Bartosz Świderski, (unknown), (unknown), (unknown), (unknown), (unknown)	9
5	Automatic Estimation of Drill Wear Based on Images of Holes Drilled in Melamine Faced Chipboard with Machine Learning Algorithms 2023 ·Forests ·(unknown), Jarosław Kurek, (unknown), (unknown), (unknown), Bartosz Świderski, (unknown), Michał Kruk	6
6	Prediction of Potato (Solanum tuberosum L.) Yield Based on Machine Learning Methods 2023 ·Agriculture ·Jarosław Kurek, Gniewko Niedbała, Tomasz Wojciechowski, Bartosz Świderski, (unknown), Magdalena Piekutowska, Michał Kruk, (unknown)	8
7	Random CNN structure: tool to increase generalization ability in deep learning 2022 ·EURASIP Journal on Image and Video Processing ·Bartosz Świderski, S. Osowski, (unknown), Jarosław Kurek, Monika Słowińska, Iwona Ługowska	15
8	Ensemble of classifiers based on deep learning for medical image recognition 2022 ·Metrology and Measurement Systems ·(unknown), S. Osowski, Bartosz Świderski, Monika Słowińska	0
9	Tool condition monitoring for the chipboard drilling process using automatic, signal-based tool state evaluation 2022 ·BioResources ·Bartosz Świderski, (unknown), Jarosław Kurek, (unknown), J. Górski, (unknown)	8
10	Data augmentation techniques for transfer learning improvement in drill wear classification using convolutional neural network 2019 ·Jarosław Kurek, (unknown), (unknown), J. Górski, (unknown), Michał Kruk, Arkadiusz Orłowski, (unknown), Bartosz Świderski, (unknown)	15
11	Classifiers ensemble of transfer learning for improved drill wear classification using convolutional neural network 2019 ·Jarosław Kurek, (unknown), (unknown), J. Górski, (unknown), Michał Kruk, Arkadiusz Orłowski, (unknown), Bartosz Świderski, (unknown)	13
12	Automatic Identification of Drill Condition During Drilling Process in Standard Laminated Chipboard with the Use of Long Short-Term Memory (LSTM) 2018 ·Jarosław Kurek, (unknown), Bartosz Świderski, Michał Kruk, (unknown), J. Górski	4
13	False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification 2018 ·Computer Methods and Programs in Biomedicine ·Sami Dhahbi, Walid Barhoumi, Jarosław Kurek, Bartosz Świderski, Michał Kruk, Ezzeddine Zagrouba	23
14	Scientific Research Activity and GDP : an Analysis of Causality Based on 144 Countries from Around the World 2018 ·Econstor (Econstor) ·(unknown), Bartosz Świderski, Jarosław Kurek	2
15	System for automatic heart rate calculation in epileptic seizures 2017 ·Australasian Physical & Engineering Sciences in Medicine ·Marcin Kołodziej, Andrzej Majkowski, Remigiusz J. Rak, Bartosz Świderski, Andrzej Rysz	3
16	Deep learning in assessment of drill condition on the basis of images of drilled holes 2017 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jarosław Kurek, Bartosz Świderski, (unknown), Michał Kruk, S. Osowski	17
17	Are Beta Parameters Stable on the Warsaw Stock Exchange? 2015 ·(unknown), (unknown), Bartosz Świderski	2
18	Aggregation of classifiers ensemble using local discriminatory power and quantiles 2015 ·Expert Systems with Applications ·Bartosz Świderski, S. Osowski, Michał Kruk, Walid Barhoumi	12
19	Box-counting fractal dimension in application to recognition of hypertension through the retinal image analysis 2013 ·Acta Clinica Belgica ·Michał Kruk, Bartosz Świderski, S. Osowski	3
20	Trend elimination of time series of 24-hour load demand in the power system and its application in power forecasting power system and its application in power forecasting 2011 ·PRZEGLĄD ELEKTROTECHNICZNY ·Krzysztof Siwek, S. Osowski, Bartosz Świderski	0

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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