Michal Prauzek

1.1k total citations
91 papers, 718 citations indexed

About

Michal Prauzek is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michal Prauzek has authored 91 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 32 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michal Prauzek's work include Energy Harvesting in Wireless Networks (28 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Innovative Energy Harvesting Technologies (11 papers). Michal Prauzek is often cited by papers focused on Energy Harvesting in Wireless Networks (28 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Innovative Energy Harvesting Technologies (11 papers). Michal Prauzek collaborates with scholars based in Czechia, Canada and Lithuania. Michal Prauzek's co-authors include Jaromír Konecny, Petr Musı́lek, Pavel Krömer, Jiří Koziorek, Radek Martínek, Marek Penhaker, Darius Andriukaitis, Mindaugas Žilys, Kamil Kuča and Ondřej Krejcar and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Michal Prauzek

79 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michal Prauzek Czechia 13 446 210 165 115 67 91 718
Taikyeong Jeong South Korea 14 469 1.1× 126 0.6× 132 0.8× 150 1.3× 53 0.8× 68 805
Jaromír Konecny Czechia 11 334 0.7× 139 0.7× 122 0.7× 149 1.3× 53 0.8× 66 623
Franco Ferraris Italy 12 211 0.5× 153 0.7× 144 0.9× 183 1.6× 79 1.2× 31 744
Alfiero Leoni Italy 17 368 0.8× 94 0.4× 187 1.1× 182 1.6× 17 0.3× 71 640
Xiaopeng Huang China 15 479 1.1× 118 0.6× 116 0.7× 76 0.7× 54 0.8× 48 1.0k
Shengquan Li China 18 316 0.7× 58 0.3× 163 1.0× 113 1.0× 78 1.2× 95 1.0k
Marco Laracca Italy 19 415 0.9× 96 0.5× 770 4.7× 130 1.1× 35 0.5× 90 1.3k
Zheng Hu China 16 313 0.7× 59 0.3× 186 1.1× 189 1.6× 42 0.6× 64 897
Darius Andriukaitis Lithuania 15 218 0.5× 66 0.3× 68 0.4× 116 1.0× 89 1.3× 93 544
Fabrizio Ciancetta Italy 15 915 2.1× 140 0.7× 98 0.6× 69 0.6× 43 0.6× 96 1.2k

Countries citing papers authored by Michal Prauzek

Since Specialization
Citations

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

Fields of papers citing papers by Michal Prauzek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Prauzek

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Prauzek. A scholar is included among the top collaborators of Michal Prauzek 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 Michal Prauzek. Michal Prauzek 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.
Prauzek, Michal, et al.. (2025). Fuzzy energy management strategies for energy harvesting IoT nodes based on a digital twin concept. Future Generation Computer Systems. 166. 107717–107717. 2 indexed citations
2.
Prauzek, Michal, et al.. (2025). Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management. ACM Computing Surveys. 57(12). 1–36. 2 indexed citations
3.
Andriukaitis, Darius, Dangirutis Navikas, Vytautas Markevičius, et al.. (2025). Hybrid GA-PSO Optimization for Controller Placement in Large-Scale Smart City IoT Networks. Sensors. 25(23). 7119–7119.
4.
Koziorek, Jiří, et al.. (2025). Method for estimating the pose of a robotic arm using a camera and calibration pattern. Ain Shams Engineering Journal. 16(9). 103525–103525.
5.
Jaroš, René, et al.. (2025). Multisensor Fusion for Noninvasive Worker Health Monitoring in Industry 4.0. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
6.
Konecny, Jaromír, et al.. (2024). Analysis of the computational costs of an evolutionary fuzzy rule-based internet-of-things energy management approach. Ad Hoc Networks. 168. 103715–103715. 7 indexed citations
7.
8.
Prauzek, Michal, et al.. (2024). Adaptive energy management strategy for solar energy harvesting IoT nodes by evolutionary fuzzy rules. Internet of Things. 26. 101197–101197. 6 indexed citations
9.
Konecny, Jaromír, et al.. (2024). Computational Cost and Implementation Analysis of a Wavelet-Based Edge Computing Method for Energy-Harvesting Industrial IoT Sensors. IEEE Access. 12. 193607–193621. 2 indexed citations
10.
Prauzek, Michal, Jaromír Konecny, Darius Andriukaitis, et al.. (2023). IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey. Sensors. 23(12). 5577–5577. 10 indexed citations
11.
Prauzek, Michal, et al.. (2023). Thermoelectric energy harvesting for internet of things devices using machine learning: A review. CAAI Transactions on Intelligence Technology. 8(3). 680–700. 17 indexed citations
12.
Konecny, Jaromír, et al.. (2023). Adjusting products with compensatory elements using a digital twin: Model and methodology. PLoS ONE. 18(1). e0279988–e0279988. 3 indexed citations
13.
14.
Prauzek, Michal, et al.. (2022). An Optical-Based Sensor for Automotive Exhaust Gas Temperature Measurement. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 9 indexed citations
15.
Prauzek, Michal, et al.. (2021). Data-Driven Self-Learning Controller Design Approach for Power-Aware IoT Devices based on Double Q-Learning Strategy. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–7. 3 indexed citations
16.
Prauzek, Michal, et al.. (2018). Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification. Neuropsychiatric Disease and Treatment. Volume 14. 2439–2449. 11 indexed citations
17.
Musı́lek, Petr, et al.. (2015). Pressure-based prediction of harvestable energy for powering environmental monitoring systems. 725–730. 12 indexed citations
18.
Krömer, Pavel, Michal Prauzek, & Petr Musı́lek. (2014). Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution. 51–56. 10 indexed citations
19.
Prauzek, Michal, et al.. (2014). Fuzzy algorithm for intelligent wireless sensors with solar harvesting. 1–7. 14 indexed citations
20.
Prauzek, Michal, Marek Penhaker, Ivan Bernabucci, & Silvia Conforto. (2009). ECG - precordial leads reconstruction. 71–71. 9 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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