M. Pausini
- Electrical and Electronic Engineering top 10%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Computer Networks and Communications
- Co-authors
- Klaus WitrisalGerard J. M. JanssenGeert LeusJac RommeFlorian TroeschThomas ZasowskiHeinz KoepplMarco Moretti
- Topics
- Ultra-Wideband Communications Technology (19 papers)Millimeter-Wave Propagation and Modeling (11 papers)Antenna Design and Analysis (11 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Vehicular TechnologyIEEE Signal Processing Magazine
- Partner nations
- NetherlandsAustriaUnited States
In The Last Decade
M. Pausini
19 papers receiving 429 citations
Peers
Comparison fields: 5 of 19
- Electrical and Electronic Engineering 453
- Aerospace Engineering 296
- Biomedical Engineering 136
- Atomic and Molecular Physics, and Optics 48
- Computer Networks and Communications 39
Countries citing papers authored by M. Pausini
This map shows the geographic impact of M. Pausini'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 M. Pausini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pausini more than expected).
Fields of papers citing papers by M. Pausini
This network shows the impact of papers produced by M. Pausini. 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 M. Pausini. The network helps show where M. Pausini may publish in the future.
Co-authorship network of co-authors of M. Pausini
This figure shows the co-authorship network connecting the top 25 collaborators of M. Pausini. A scholar is included among the top collaborators of M. Pausini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Pausini. M. Pausini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 182 | |
| 2 | 22 | |
| 3 | 15 | |
| 4 | UWB Channel Characterization for System Studies | 2 |
| 5 | Autocorrelation receivers for ultra wideband wireless communications | 4 |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 29 | |
| 9 | 9 | |
| 10 | Narrowband interference suppression in transmitted reference UWB receivers using sub-band notch filters | 6 |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 68 | |
| 15 | 21 | |
| 16 | 3 | |
| 17 | Noise Analysis for Symbol-Differential IR-UWB Autocorrelation Receivers | 1 |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 36 |
About M. Pausini
M. Pausini is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 20 papers that have together received 463 indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (19 papers), Millimeter-Wave Propagation and Modeling (11 papers) and Antenna Design and Analysis (11 papers). The work is most often cited by research in Aerospace Engineering (296 citations), Electrical and Electronic Engineering (453 citations) and Biomedical Engineering (136 citations). M. Pausini has collaborated with scholars based in Netherlands, Austria and United States. Frequent co-authors include Klaus Witrisal, Gerard J. M. Janssen, Geert Leus, Jac Romme, Florian Troesch, Thomas Zasowski, Heinz Koeppl and Marco Moretti. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE Signal Processing Magazine.
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.