Marek Penhaker
Impact in
-
- Wireless Sensor Networks for Data Analysis
- Sensor Technology and Measurement Systems
-
- Context-Aware Activity Recognition Systems
Papers in
-
- Wireless Sensor Networks for Data Analysis 67
- Sensor Technology and Measurement Systems 46
-
- Non-Invasive Vital Sign Monitoring 22
- Co-authors
- Jan Kubíček (90 shared papers)Silvia Conforto (7 shared papers)Maurizio Schmid (6 shared papers)Martin Augustýnek (69 shared papers)Martin Černý (42 shared papers)Ondřej Krejcar (23 shared papers)Radovan Hudák (4 shared papers)Kamil Kuča (10 shared papers)
In The Last Decade
Marek Penhaker
221 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Computer Networks and Communications 526
- Computer Vision and Pattern Recognition 376
- Biomedical Engineering 725
- Polymers and Plastics 162
- Medical Laboratory Technology 15
Countries citing papers authored by Marek Penhaker
This map shows the geographic impact of Marek Penhaker'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 Marek Penhaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Penhaker more than expected).
Fields of papers citing papers by Marek Penhaker
This network shows the impact of papers produced by Marek Penhaker. 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 Marek Penhaker. The network helps show where Marek Penhaker may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Penhaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 176 | |
| 2 | 2014 | 101 | |
| 3 | 2012 | 90 | |
| 4 | 2021 | 58 | |
| 5 | 2016 | 56 | |
| 6 | 2007 | 52 | |
| 7 | 2020 | 50 | |
| 8 | 2018 | 38 | |
| 9 | 2016 | 38 | |
| 10 | 2011 | 36 | |
| 11 | 2014 | 34 | |
| 12 | 2008 | 32 | |
| 13 | 2011 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2013 | 26 | |
| 16 | 2015 | 25 | |
| 17 | 2020 | 23 | |
| 18 | 2011 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2022 | 20 |
About Marek Penhaker
Marek Penhaker is a scholar working on Computer Networks and Communications, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 248 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wireless Sensor Networks for Data Analysis (67 papers), Sensor Technology and Measurement Systems (46 papers), Non-Invasive Vital Sign Monitoring (22 papers), Context-Aware Activity Recognition Systems (22 papers), Infrared Thermography in Medicine (19 papers), ECG Monitoring and Analysis (16 papers), Medical Image Segmentation Techniques (14 papers) and Retinal Imaging and Analysis (14 papers). The work is most often cited by research in Computer Networks and Communications (526 citations), Computer Vision and Pattern Recognition (376 citations), Biomedical Engineering (725 citations), Polymers and Plastics (162 citations) and Medical Laboratory Technology (15 citations). Marek Penhaker has collaborated with scholars based in Czechia, Malaysia and Italy. Frequent co-authors include Jan Kubíček, Silvia Conforto, Maurizio Schmid, Martin Augustýnek, Martin Černý, Ondřej Krejcar, Radovan Hudák, Kamil Kuča, Ali Selamat and Daniele Bibbo. Their work appears in journals such as Sensors, Fractals, Lecture notes in computer science, Frontiers in Physiology and Results in Engineering.
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.