Danilo Spano

2.1k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Danilo Spano is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Danilo Spano has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 15 papers in Computer Networks and Communications and 11 papers in Aerospace Engineering. Recurrent topics in Danilo Spano's work include Satellite Communication Systems (10 papers), Advanced MIMO Systems Optimization (10 papers) and Advanced Wireless Communication Techniques (9 papers). Danilo Spano is often cited by papers focused on Satellite Communication Systems (10 papers), Advanced MIMO Systems Optimization (10 papers) and Advanced Wireless Communication Techniques (9 papers). Danilo Spano collaborates with scholars based in Luxembourg, Sweden and Australia. Danilo Spano's co-authors include Symeon Chatzinotas, Björn Ottersten, Nicola Maturo, Steven Kisseleff, Jorge Querol, Eva Lagunas, Juan Carlos Merlano Duncán, Shree Krishna Sharma, Bhavani Shankar and Oltjon Kodheli and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Communications Surveys & Tutorials and IEEE Transactions on Wireless Communications.

In The Last Decade

Danilo Spano

26 papers receiving 1.3k citations

Hit Papers

Satellite Communications in the New Space Era: A Survey a... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danilo Spano Luxembourg 11 951 855 589 81 38 26 1.4k
Nicola Maturo Luxembourg 15 1.1k 1.2× 1.3k 1.6× 897 1.5× 76 0.9× 57 1.5× 54 1.7k
Juan Carlos Merlano Duncán Luxembourg 12 709 0.7× 958 1.1× 549 0.9× 37 0.5× 36 0.9× 66 1.2k
Oltjon Kodheli Luxembourg 7 819 0.9× 1.1k 1.2× 619 1.1× 40 0.5× 89 2.3× 11 1.3k
Bhavani Shankar Luxembourg 11 618 0.6× 881 1.0× 449 0.8× 36 0.4× 35 0.9× 27 1.1k
Kefeng Guo China 25 1.4k 1.5× 1.3k 1.6× 625 1.1× 62 0.8× 16 0.4× 113 1.8k
Xiaohu Liang China 19 639 0.7× 531 0.6× 451 0.8× 55 0.7× 32 0.8× 83 931
Kanglian Zhao China 21 384 0.4× 514 0.6× 830 1.4× 48 0.6× 28 0.7× 88 1.1k
Christos G. Tsinos Luxembourg 20 1.1k 1.2× 678 0.8× 449 0.8× 79 1.0× 70 1.8× 85 1.5k
Wenjin Wang China 26 1.8k 1.9× 985 1.2× 740 1.3× 105 1.3× 116 3.1× 171 2.2k
Wenyan Ma China 18 1.3k 1.4× 944 1.1× 338 0.6× 85 1.0× 32 0.8× 32 1.7k

Countries citing papers authored by Danilo Spano

Since Specialization
Citations

This map shows the geographic impact of Danilo Spano'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 Danilo Spano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Spano more than expected).

Fields of papers citing papers by Danilo Spano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Spano. 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 Danilo Spano. The network helps show where Danilo Spano may publish in the future.

Co-authorship network of co-authors of Danilo Spano

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Spano. A scholar is included among the top collaborators of Danilo Spano 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 Danilo Spano. Danilo Spano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kodheli, Oltjon, Eva Lagunas, Nicola Maturo, et al.. (2020). Satellite Communications in the New Space Era: A Survey and Future Challenges. IEEE Communications Surveys & Tutorials. 23(1). 70–109. 817 indexed citations breakdown →
2.
Li, Ang, Danilo Spano, Jevgenij Krivochiza, et al.. (2020). A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions. IEEE Communications Surveys & Tutorials. 22(2). 796–839. 191 indexed citations
3.
Spano, Danilo, et al.. (2020). Learning-Assisted Eavesdropping and Symbol-Level Precoding Countermeasures for Downlink MU-MISO Systems. IEEE Open Journal of the Communications Society. 1. 535–549. 5 indexed citations
4.
Duncán, Juan Carlos Merlano, Jorge Querol, Nicola Maturo, et al.. (2019). Hardware precoding demonstration in multibeam UHTS communications under realistic payload characteristics [International Communications Satellite Systems Conference]. 67 (17 pp.)–67 (17 pp.). 3 indexed citations
6.
Spano, Danilo, et al.. (2018). Per‐antenna power minimization in symbol‐level precoding for the multibeam satellite downlink. International Journal of Satellite Communications and Networking. 37(1). 15–30. 7 indexed citations
7.
Spano, Danilo, Maha Alodeh, Symeon Chatzinotas, & Björn Ottersten. (2018). Faster-Than-Nyquist Signaling Through Spatio-Temporal Symbol-Level Precoding for the Multiuser MISO Downlink Channel. IEEE Transactions on Wireless Communications. 17(9). 5915–5928. 19 indexed citations
8.
Alodeh, Maha, Danilo Spano, Ashkan Kalantari, et al.. (2018). Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges. IEEE Communications Surveys & Tutorials. 20(3). 1733–1757. 102 indexed citations
10.
Spano, Danilo, Maha Alodeh, Symeon Chatzinotas, & Björn Ottersten. (2018). Papr Minimization Through Spatio-Temporal Symbol-Level Precoding for the Non-Linear Multi-User MISO Channel. 3599–3603. 6 indexed citations
11.
Spano, Danilo, Maha Alodeh, Symeon Chatzinotas, & Björn Ottersten. (2017). Symbol-Level Precoding for the Nonlinear Multiuser MISO Downlink Channel. IEEE Transactions on Signal Processing. 66(5). 1331–1345. 55 indexed citations
12.
Alodeh, Maha, Danilo Spano, Symeon Chatzinotas, & Björn Ottersten. (2017). Faster-than-Nyquist spatiotemporal symbol-level precoding in the downlink of multiuser MISO channels. 3779–3783. 11 indexed citations
13.
Spano, Danilo, et al.. (2017). Spatial PAPR reduction in symbol-level precoding for the multi-beam satellite downlink. 1–5. 14 indexed citations
14.
Spano, Danilo, et al.. (2016). Peak power minimization in symbol-level precoding for cognitive MISO downlink channels. IEEE Conference Proceedings. 2016. 244. 1 indexed citations
15.
Andrenacci, Stefano, et al.. (2016). Optimized link adaptation for DVB-S2X precoded waveforms based on SNIR estimation. 502–506. 9 indexed citations
16.
Alodeh, Maha, Danilo Spano, Symeon Chatzinotas, & Björn Ottersten. (2016). Peak power minimization in symbol-level precoding for cognitive MISO downlink channels. 240–244. 9 indexed citations
17.
Spano, Danilo, Maha Alodeh, Symeon Chatzinotas, & Björn Ottersten. (2016). Per-Antenna Power Minimization in Symbol-Level Precoding. Open Repository and Bibliography (University of Luxembourg). 1–6. 27 indexed citations
18.
Spano, Danilo & Fabio Ricciato. (2016). Opportunistic Time-of-Arrival localization in fully asynchronous wireless networks. Pervasive and Mobile Computing. 37. 139–153. 8 indexed citations
19.
Spano, Danilo, et al.. (2016). Symbol-level precoding with per-antenna power constraints for the multi-beam satellite downlink. Open Repository and Bibliography (University of Luxembourg). 1–8. 11 indexed citations
20.
Bandiera, Francesco, Angelo Coluccia, Giuseppe Ricci, Fabio Ricciato, & Danilo Spano. (2014). TDOA Localization in Asynchronous WSNs. 193–196. 14 indexed citations

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.

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