Roger Bacchus
Impact in
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- Cognitive Radio Networks and Spectrum Sensing
- Wireless Communication Networks Research
- Distributed Sensor Networks and Detection Algorithms
- Wireless Networks and Protocols
Papers in
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- Power Line Communications and Noise 6
- Advanced MIMO Systems Optimization 3
- Millimeter-Wave Propagation and Modeling 2
- Ultra-Wideband Communications Technology 1
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- Cognitive Radio Networks and Spectrum Sensing 5
- Wireless Communication Networks Research 2
- Wireless Networks and Protocols 1
- Co-authors
- Dennis Roberson (10 shared papers)Reijo Ekman (2 shared papers)Marko Höyhtyä (1 shared paper)Aarne Mämmelä (1 shared paper)Marja Matinmikko (1 shared paper)Jaakko Suutala (1 shared paper)Juha Kalliovaara (2 shared papers)Cynthia S. Hood (2 shared papers)
- Journals
- IEEE Communications Surveys & Tutorials (1 paper)Noise & Vibration Worldwide (1 paper)IEEE Conference Proceedings (1 paper)
- Partner nations
- United StatesFinland
In The Last Decade
Roger Bacchus
10 papers receiving 367 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 286
- Computational Mathematics 3
- Electrical and Electronic Engineering 270
- Signal Processing 53
- Media Technology 26
Countries citing papers authored by Roger Bacchus
This map shows the geographic impact of Roger Bacchus'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 Roger Bacchus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Bacchus more than expected).
Fields of papers citing papers by Roger Bacchus
This network shows the impact of papers produced by Roger Bacchus. 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 Roger Bacchus. The network helps show where Roger Bacchus may publish in the future.
Co-authors
The 13 scholars most cited alongside Roger Bacchus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 167 | |
| 2 | 2011 | 93 | |
| 3 | 2008 | 49 | |
| 4 | 2010 | 33 | |
| 5 | 2017 | 11 | |
| 6 | 2012 | 11 | |
| 7 | 2012 | 7 | |
| 8 | 2011 | 6 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 3 |
About Roger Bacchus
Roger Bacchus is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Speech and Hearing, Epidemiology and Economics and Econometrics, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Power Line Communications and Noise (6 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Advanced MIMO Systems Optimization (3 papers), Wireless Communication Networks Research (2 papers), Millimeter-Wave Propagation and Modeling (2 papers), Ultra-Wideband Communications Technology (1 paper), Wireless Networks and Protocols (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Computer Networks and Communications (286 citations), Computational Mathematics (3 citations), Electrical and Electronic Engineering (270 citations), Signal Processing (53 citations) and Media Technology (26 citations). Roger Bacchus has collaborated with scholars based in United States and Finland. Frequent co-authors include Dennis Roberson, Reijo Ekman, Marko Höyhtyä, Aarne Mämmelä, Marja Matinmikko, Jaakko Suutala, Juha Kalliovaara, Cynthia S. Hood, Roger Tory Peterson and Rohit Singh. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Noise & Vibration Worldwide and IEEE Conference Proceedings.
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.