Michał Sybis
- Automotive Engineering top 10%
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- Error Correcting Code Techniques 7
- Transportation top 10%
- Transportation Planning and Optimization 3
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- Advanced Wireless Communication Techniques 9
- Vehicular Ad Hoc Networks (VANETs) 8
- PAPR reduction in OFDM 5
- Power Line Communications and Noise 4
- Control and Systems Engineering top 10%
- Traffic control and management 5
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- Traffic Prediction and Management Techniques 2
- Co-authors
- Krzysztof WesołowskiVladimir VukadinovićPaweł SrokaVenkatkumar VenkatasubramanianPatrick MarschDavid ListerHua XuIlaria Thibault
- Journals
- IEEE Transactions on Antennas and Propagation (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Electronics Letters (2 papers)
- Partner nations
- PolandGreeceUnited Kingdom
In The Last Decade
Michał Sybis
18 papers receiving 359 citations
Peers
Comparison fields: 5 of 38
- Automotive Engineering 91
- Computer Networks and Communications 149
- Transportation 37
- Electrical and Electronic Engineering 304
- Control and Systems Engineering 121
Countries citing papers authored by Michał Sybis
This map shows the geographic impact of Michał Sybis'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 Michał Sybis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Sybis more than expected).
Fields of papers citing papers by Michał Sybis
This network shows the impact of papers produced by Michał Sybis. 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 Michał Sybis. The network helps show where Michał Sybis may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Michał Sybis, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 7 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 178 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 108 | |
| 12 | 2014 | 2 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 3 | |
| 15 | Branch canceling technique for turbo TCM decoding | 2012 | 0 |
| 16 | 2012 | 2 | |
| 17 | 2011 | 4 | |
| 18 | 2009 | 4 | |
| 19 | REDUCED COMPLEXITY ALGORITHMS FOR NEAR-OPTIMAL DECODING OF TURBO AND TURBO TCM CODES | 2009 | 1 |
| 20 | 2009 | 5 |
About Michał Sybis
Michał Sybis is a scholar working on Transportation, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 21 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (9 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers), Error Correcting Code Techniques (7 papers), Traffic control and management (5 papers), PAPR reduction in OFDM (5 papers), Power Line Communications and Noise (4 papers), Transportation Planning and Optimization (3 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Automotive Engineering (91 citations), Computer Networks and Communications (149 citations) and Transportation (37 citations). Michał Sybis has collaborated with scholars based in Poland, Greece and United Kingdom. Frequent co-authors include Krzysztof Wesołowski, Vladimir Vukadinović, Paweł Sroka, Venkatkumar Venkatasubramanian, Patrick Marsch, David Lister, Hua Xu, Ilaria Thibault, Paweł Kryszkiewicz and Stylianos Papaharalabos. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, IEEE Transactions on Intelligent Transportation Systems and Electronics Letters.
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.