Mariusz Zubert

743 citations
82 papers · 519 · h-index 13

Impact in

Papers in

Mariusz Zubert

69 papers receiving 483 citations

Peers

Mariusz Zubert
Comparison fields: 5 of 64
  • Signal Processing 164
  • Human-Computer Interaction 36
  • Safety Research 39
  • Computer Vision and Pattern Recognition 80
  • Mechanical Engineering 143
Replace Jinyang Huang with:
Jinyang Huang China
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Hocheol Shin South Korea
Yusheng Fu China
Bing Yu China
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Citations per field
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Citations per year

Countries citing papers authored by Mariusz Zubert

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Zubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mariusz Zubert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mariusz Zubert Line = papers co-authored together Mariusz Zubert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200961
2 201141
3 201238
4 200622
5 202121
6 202121
7 199821
8 200321
9 200619
10
IRIS FINDER - PROGRAM FOR RELIABLE IRIS LOCALISATION IN IMAGES TAKEN UNDER VISIBLE LIGHT
200614
11 201713
12 199913
13 201613
14 201512
15 200012
16 201510
17 20189
18 20078
19 20218
20 20188

About Mariusz Zubert

Mariusz Zubert is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Mechanics of Materials and Signal Processing, having authored 82 papers that have together received 519 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (26 papers), Thermal properties of materials (23 papers), Thermoelastic and Magnetoelastic Phenomena (17 papers), Biometric Identification and Security (14 papers), Silicon Carbide Semiconductor Technologies (13 papers), Induction Heating and Inverter Technology (11 papers), Electromagnetic Compatibility and Noise Suppression (7 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Signal Processing (164 citations), Human-Computer Interaction (36 citations), Safety Research (39 citations), Computer Vision and Pattern Recognition (80 citations) and Mechanical Engineering (143 citations). Mariusz Zubert has collaborated with scholars based in Poland, Germany and Canada. Frequent co-authors include Andrzej Napieralski, M. Napieralska, Marcin Janicki, Kamil Grabowski, Avik Santra, Grzegorz Jabłoński, Rafał Szewczyk, George J. Anders, Piotr Zając and K. Późniak. Their work appears in journals such as Microelectronics Reliability, IEEE Access, Energies, IEEE Transactions on Industry Applications and Pattern Recognition Letters.

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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