Radek Martínek

6.2k total citations · 1 hit paper
322 papers, 4.1k citations indexed

About

Radek Martínek is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Radek Martínek has authored 322 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Electrical and Electronic Engineering, 79 papers in Biomedical Engineering and 78 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Radek Martínek's work include ECG Monitoring and Analysis (73 papers), Non-Invasive Vital Sign Monitoring (52 papers) and Advanced Fiber Optic Sensors (43 papers). Radek Martínek is often cited by papers focused on ECG Monitoring and Analysis (73 papers), Non-Invasive Vital Sign Monitoring (52 papers) and Advanced Fiber Optic Sensors (43 papers). Radek Martínek collaborates with scholars based in Czechia, Poland and Iraq. Radek Martínek's co-authors include Jan Nedoma, René Jaroš, Radana Kahánková, Marcel Fajkus, Jan Žídek, Petr Bilík, H. Nazeran, Mazin Abed Mohammed, Vladimír Vašinek and Aleksandra Kawala‐Sterniuk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Radek Martínek

304 papers receiving 4.0k citations

Hit Papers

A systematic review of deep learning techniques for plant... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A systematic review of deep learning techniques for plant diseases
    2024 57 citations Muhammet Deveci, Jan Nedoma et al. profile →

Peers

Radek Martínek
Sridhar Krishnan Canada
Maysam Abbod United Kingdom
Seán McLoone United Kingdom
Sai Ho Ling Australia
Jan Nedoma Czechia
N. Arunkumar India
Patrick McSharry United Kingdom
Wanqing Wu China
Yuan Zhang China
A. Lay-Ekuakille Italy
Sridhar Krishnan Canada
Radek Martínek
Citations per year, relative to Radek Martínek Radek Martínek (= 1×) peers Sridhar Krishnan

Countries citing papers authored by Radek Martínek

Since Specialization
Citations

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

Fields of papers citing papers by Radek Martínek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radek Martínek

This figure shows the co-authorship network connecting the top 25 collaborators of Radek Martínek. A scholar is included among the top collaborators of Radek Martínek 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 Radek Martínek. Radek Martínek 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.
Kumar, Krishna, Aman Kumar, Gaurav Saini, et al.. (2024). Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach. Sustainable Computing Informatics and Systems. 42. 100958–100958. 4 indexed citations
2.
Lakhan, Abdullah, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, et al.. (2024). DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows. IEEE Systems Journal. 18(4). 1883–1892. 6 indexed citations
3.
Mohammed, Mazin Abed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.. (2024). Edge-Cloud Remote Sensing Data-Based Plant Disease Detection Using Deep Neural Networks With Transfer Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 11219–11229. 16 indexed citations
4.
Lakhan, Abdullah, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, et al.. (2024). FDCNN-AS: Federated deep convolutional neural network Alzheimer detection schemes for different age groups. Information Sciences. 677. 120833–120833. 5 indexed citations
5.
Ládrová, Martina, et al.. (2024). Multichannel ballistocardiography: A comparative analysis of heartbeat detection across different body locations. PLoS ONE. 19(8). e0306074–e0306074. 2 indexed citations
6.
Jaroš, René, et al.. (2023). Novel phonocardiography system for heartbeat detection from various locations. Scientific Reports. 13(1). 14392–14392. 15 indexed citations
7.
Koziorek, Jiří, et al.. (2023). Tool Condition Monitoring Methods Applicable in the Metalworking Process. Archives of Computational Methods in Engineering. 31(1). 221–242. 24 indexed citations
8.
Bilík, Petr, et al.. (2023). Optimized Design of Source Energy for Manufacturing Machine by Digital Numerical Control. International Journal of Automotive and Mechanical Engineering. 20(1). 10307–10321. 5 indexed citations
9.
Mohammed, Mazin Abed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.. (2023). Energy-efficient distributed federated learning offloading and scheduling healthcare system in blockchain based networks. Internet of Things. 22. 100815–100815. 37 indexed citations
10.
Rahman, Atiqe Ur, Muhammad Saeed, Mazin Abed Mohammed, et al.. (2023). An innovative mathematical approach to the evaluation of susceptibility in liver disorder based on fuzzy parameterized complex fuzzy hypersoft set. Biomedical Signal Processing and Control. 86. 105204–105204. 7 indexed citations
11.
Kahánková, Radana, et al.. (2022). A Review of Recent Advances and Future Developments in Fetal Phonocardiography. IEEE Reviews in Biomedical Engineering. 16. 653–671. 9 indexed citations
12.
Martínek, Radek, Martina Ládrová, Michaela Šidiková, et al.. (2021). Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals. Sensors. 21(15). 5186–5186. 47 indexed citations
13.
Bilík, Petr, et al.. (2021). Human Activity Classification Using Multilayer Perceptron. Sensors. 21(18). 6207–6207. 10 indexed citations
14.
Martínek, Radek, et al.. (2020). Voice Communication in Noisy Environments in a Smart House Using Hybrid LMS+ICA Algorithm. Sensors. 20(21). 6022–6022. 11 indexed citations
15.
Ládrová, Martina, Radek Martínek, & René Jaroš. (2019). Power Line Interference Elimination in ECG Signals. Journal of biomimetics, biomaterials and biomedical engineering. 41. 105–115. 3 indexed citations
16.
Frnda, Jaroslav, et al.. (2019). A Weather Forecast Model Accuracy Analysis and ECMWF Enhancement Proposal by Neural Network. Sensors. 19(23). 5144–5144. 22 indexed citations
17.
Nedoma, Jan, et al.. (2018). Sensor system based on the Mach-Zehnder interferometer for the rail transport. 53–53. 2 indexed citations
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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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