Dajana Cassioli
- Electrical and Electronic Engineering top 1%
- Aerospace Engineering top 0.5%
- Computer Networks and Communications top 2%
- Biomedical Engineering top 5%
- Signal Processing top 5%
- Co-authors
- Andreas F. MolischMoe Z. WinFrancesco VatalaroJohan KåredalH.G. SchantzA. FortChia‐Chin ChongS. Emami
- Topics
- Ultra-Wideband Communications Technology (35 papers)Millimeter-Wave Propagation and Modeling (28 papers)Antenna Design and Analysis (28 papers)
- Cited by
- Aerospace EngineeringElectrical and Electronic EngineeringComputer Networks and Communications
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Dajana Cassioli
80 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Electrical and Electronic Engineering 2.5k
- Aerospace Engineering 1.3k
- Computer Networks and Communications 599
- Biomedical Engineering 536
- Signal Processing 144
Countries citing papers authored by Dajana Cassioli
This map shows the geographic impact of Dajana Cassioli'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 Dajana Cassioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajana Cassioli more than expected).
Fields of papers citing papers by Dajana Cassioli
This network shows the impact of papers produced by Dajana Cassioli. 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 Dajana Cassioli. The network helps show where Dajana Cassioli may publish in the future.
Co-authorship network of co-authors of Dajana Cassioli
This figure shows the co-authorship network connecting the top 25 collaborators of Dajana Cassioli. A scholar is included among the top collaborators of Dajana Cassioli 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 Dajana Cassioli. Dajana Cassioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 1 | |
| 15 | 52 | |
| 16 | 1 | |
| 17 | 72 | |
| 18 | 262 | |
| 19 | 21 | |
| 20 | Performance of selective Rake reception in a realistic UWB channel | 18 |
About Dajana Cassioli
Dajana Cassioli is a scholar working on Computer Networks and Communications, Aerospace Engineering and Electrical and Electronic Engineering, having authored 87 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (35 papers), Millimeter-Wave Propagation and Modeling (28 papers) and Antenna Design and Analysis (28 papers). The work is most often cited by research in Aerospace Engineering (1.3k citations), Electrical and Electronic Engineering (2.5k citations) and Computer Networks and Communications (599 citations). Dajana Cassioli has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Andreas F. Molisch, Moe Z. Win, Francesco Vatalaro, Johan Kåredal, H.G. Schantz, A. Fort, Chia‐Chin Chong, S. Emami, Kazimierz Siwiak and J. Kunisch. Their work appears in journals such as Nature Communications, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.