Jan Vaňuš
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
- Environmental Engineering top 10%
- Air Quality Monitoring and Forecasting
Papers in
-
- Advanced Fiber Optic Sensors 6
- IoT-based Smart Home Systems 6
-
- Wireless Sensor Networks for Data Analysis 13
- IoT and Edge/Fog Computing 5
- Co-authors
- Petr Bilík (26 shared papers)Radek Martínek (34 shared papers)Jan Žídek (15 shared papers)Jiří Koziorek (12 shared papers)Jan Nedoma (14 shared papers)Marcel Fajkus (12 shared papers)H. Nazeran (3 shared papers)Petr Koudelka (4 shared papers)
- Journals
- Sensors (6 papers)Human-centric Computing and Information Sciences (4 papers)IEEE Access (2 papers)Energies (1 paper)Scientific Reports (1 paper)
- Partner nations
- CzechiaUnited StatesPoland
In The Last Decade
Jan Vaňuš
54 papers receiving 572 citations
Peers
Comparison fields: 5 of 95
- Building and Construction 101
- Environmental Engineering 102
- Computer Vision and Pattern Recognition 139
- Signal Processing 65
- Computer Networks and Communications 126
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | 2016 | 40 | |
| 3 | 2016 | 31 | |
| 4 | 2019 | 27 | |
| 5 | 2017 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2015 | 23 | |
| 8 | 2015 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2016 | 19 | |
| 11 | 2014 | 19 | |
| 12 | 2015 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2016 | 15 | |
| 17 | 2010 | 14 | |
| 18 | 2016 | 13 | |
| 19 | APPLICATION OF VARIATIONS OF THE LMS ADAPTIVE FILTER FOR VOICE COMMUNICATIONS WITH CONTROL SYSTEM | 2011 | 12 |
| 20 | 2020 | 11 |
About Jan Vaňuš
Jan Vaňuš is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Environmental Engineering and Building and Construction, having authored 56 papers that have together received 592 indexed citations. Recurring topics across this work include Wireless Sensor Networks for Data Analysis (13 papers), Building Energy and Comfort Optimization (11 papers), Context-Aware Activity Recognition Systems (11 papers), Air Quality Monitoring and Forecasting (11 papers), Advanced Adaptive Filtering Techniques (8 papers), Advanced Fiber Optic Sensors (6 papers), IoT-based Smart Home Systems (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Building and Construction (101 citations), Environmental Engineering (102 citations), Computer Vision and Pattern Recognition (139 citations), Signal Processing (65 citations) and Computer Networks and Communications (126 citations). Jan Vaňuš has collaborated with scholars based in Czechia, United States and Poland. Frequent co-authors include Petr Bilík, Radek Martínek, Jan Žídek, Jiří Koziorek, Jan Nedoma, Marcel Fajkus, H. Nazeran, Petr Koudelka, Vladimír Vašinek and Jan Kubíček. Their work appears in journals such as Sensors, Human-centric Computing and Information Sciences, IEEE Access, Energies and Scientific Reports.
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.