Jan Vaňuš
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
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- Context-Aware Activity Recognition Systems
Papers in
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- Context-Aware Activity Recognition Systems 15
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- Wireless Sensor Networks for Data Analysis 16
- IoT and Edge/Fog Computing 6
- Co-authors
- Petr Bilík (27 shared papers)Radek Martínek (37 shared papers)Jan Žídek (16 shared papers)Jiří Koziorek (16 shared papers)Jan Nedoma (14 shared papers)Marcel Fajkus (12 shared papers)Pavel Kučera (4 shared papers)Zdeněk Macháček (8 shared papers)
- Journals
- Sensors (6 papers)Human-centric Computing and Information Sciences (4 papers)IEEE Access (2 papers)Energies (1 paper)Electronics (1 paper)
- Partner nations
- CzechiaPolandUnited States
In The Last Decade
Jan Vaňuš
62 papers receiving 658 citations
Peers
Comparison fields: 5 of 96
- Building and Construction 108
- Computer Vision and Pattern Recognition 166
- Environmental Engineering 108
- Signal Processing 77
- Computer Networks and Communications 154
Countries citing papers authored by Jan Vaňuš
This map shows the geographic impact of Jan Vaňuš'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 Jan Vaňuš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Vaňuš more than expected).
Fields of papers citing papers by Jan Vaňuš
This network shows the impact of papers produced by Jan Vaňuš. 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 Jan Vaňuš. The network helps show where Jan Vaňuš may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Vaňuš, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 56 | |
| 2 | 2016 | 46 | |
| 3 | 2016 | 35 | |
| 4 | 2019 | 28 | |
| 5 | 2015 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2015 | 22 | |
| 9 | 2016 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2014 | 20 | |
| 12 | 2015 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2010 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2013 | 13 |
About Jan Vaňuš
Jan Vaňuš is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Environmental Engineering, Building and Construction and Electrical and Electronic Engineering, having authored 63 papers that have together received 682 indexed citations. Recurring topics across this work include Wireless Sensor Networks for Data Analysis (16 papers), Context-Aware Activity Recognition Systems (15 papers), Air Quality Monitoring and Forecasting (12 papers), Building Energy and Comfort Optimization (11 papers), Advanced Adaptive Filtering Techniques (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), IoT-based Smart Home Systems (7 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Building and Construction (108 citations), Computer Vision and Pattern Recognition (166 citations), Environmental Engineering (108 citations), Signal Processing (77 citations) and Computer Networks and Communications (154 citations). Jan Vaňuš has collaborated with scholars based in Czechia, Poland and United States. Frequent co-authors include Petr Bilík, Radek Martínek, Jan Žídek, Jiří Koziorek, Jan Nedoma, Marcel Fajkus, Pavel Kučera, Zdeněk Macháček, Jan Kubíček and Petr Koudelka. Their work appears in journals such as Sensors, Human-centric Computing and Information Sciences, IEEE Access, Energies and Electronics.
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.