Marco Ferrari

605 total citations
62 papers, 415 citations indexed

About

Marco Ferrari is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Marco Ferrari has authored 62 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 40 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in Marco Ferrari's work include Advanced Wireless Communication Techniques (33 papers), Error Correcting Code Techniques (23 papers) and Coding theory and cryptography (14 papers). Marco Ferrari is often cited by papers focused on Advanced Wireless Communication Techniques (33 papers), Error Correcting Code Techniques (23 papers) and Coding theory and cryptography (14 papers). Marco Ferrari collaborates with scholars based in Italy, Switzerland and United States. Marco Ferrari's co-authors include S. Bellini, Francesco Ripamonti, Gabriele Cazzulani, Ferruccio Resta, Maurizio Magarini, Luca Barletta, Giuseppe Caire, P. Amato, Ahmed Abdelsalam and Rudi Paolo Paganelli and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Marco Ferrari

54 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ferrari Italy 12 274 229 89 43 35 62 415
Vladimir Vujičić Serbia 12 309 1.1× 132 0.6× 72 0.8× 83 1.9× 9 0.3× 51 408
Sajjad Ahmed Ghauri Pakistan 11 167 0.6× 117 0.5× 134 1.5× 73 1.7× 71 2.0× 39 354
Jorge Plata-Chaves Belgium 12 148 0.5× 220 1.0× 95 1.1× 25 0.6× 16 0.5× 25 459
Byung-Jae Kwak South Korea 13 627 2.3× 761 3.3× 81 0.9× 36 0.8× 29 0.8× 38 944
Wael M. Bazzi United Arab Emirates 12 320 1.2× 135 0.6× 82 0.9× 80 1.9× 57 1.6× 32 524
Mehmet E. Çelebi Türkiye 11 276 1.0× 196 0.9× 125 1.4× 68 1.6× 18 0.5× 60 413
Haijun Tan China 9 192 0.7× 65 0.3× 109 1.2× 33 0.8× 75 2.1× 15 322
Enyang Xu United States 7 388 1.4× 271 1.2× 158 1.8× 7 0.2× 56 1.6× 10 459

Countries citing papers authored by Marco Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ferrari. A scholar is included among the top collaborators of Marco Ferrari 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 Marco Ferrari. Marco Ferrari 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.
Giorgetti, A., Nicola Andriolli, Marco Ferrari, et al.. (2024). Generalized quantum-assisted digital signature service in an SDN-controlled quantum-integrated optical network. Journal of Optical Communications and Networking. 17(2). A155–A155.
2.
Gatto, Alberto, P. Parolari, Christian Neumeyr, et al.. (2024). Multi-Tb/s Transmission Based on DMT-Modulated VCSELs in Metro Networks Assisted by Volterra Equalization. IEEE Access. 12. 154294–154309. 1 indexed citations
3.
Barletta, Luca, et al.. (2024). Low-Complexity Pearson-Based Detection for AWGN Channels with Offset. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1592–1597.
4.
Giorgetti, A., Nicola Andriolli, Marco Ferrari, et al.. (2024). Quantum-Assisted Digital Signature in an SDN-controlled Optical Network. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). M3Z.6–M3Z.6. 1 indexed citations
5.
Ferrari, Marco, Alberto Tarable, & Rudi Paolo Paganelli. (2024). Flexible Blind Information Reconciliation for QKD based on Rateless Protograph LDPC codes. 1–4.
6.
Andriolli, Nicola, M. Brunero, Paolo Martelli, et al.. (2023). Integrating QKD and classical optical networks: an SDN control approach. IET conference proceedings.. 2023(34). 1749–1752. 2 indexed citations
7.
Ferrari, Marco, et al.. (2022). Channel Characterization of Diffusion-Based Molecular Communication With Multiple Fully-Absorbing Receivers. IEEE Transactions on Communications. 70(5). 3006–3019. 12 indexed citations
8.
Ferrari, Marco, et al.. (2022). A Sphere Packing Bound for Vector Gaussian Fading Channels Under Peak Amplitude Constraints. IEEE Transactions on Information Theory. 69(1). 238–250. 3 indexed citations
9.
Ferrari, Marco, et al.. (2022). Asymptotic MIMO Channel Model for Diffusive MC With Fully-Absorbing Receivers. IEEE Wireless Communications Letters. 11(8). 1634–1638. 5 indexed citations
10.
Ferrari, Marco, et al.. (2021). The Capacity of the Amplitude-Constrained Vector Gaussian Channel. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 10 indexed citations
11.
Tarable, Alberto, Marco Ferrari, & Luca Barletta. (2021). Two is Better than One: Reducing the Loss of the Window Decoder for SC-LDPC Codes. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 45. 1–5. 1 indexed citations
12.
Ferrari, Marco, et al.. (2020). Capacity Bounds for Amplitude-Constrained AWGN MIMO Channels with Fading. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2032–2037. 5 indexed citations
13.
Ferrari, Marco, et al.. (2019). Thresholds of Absorbing Sets Under Scaled Min-Sum LDPC Decoding. IEEE Transactions on Communications. 67(10). 6643–6651. 2 indexed citations
14.
Ferrari, Marco, et al.. (2017). Analysis of practical LDPC decoders in tanner graphs with absorbing sets. 141–145. 2 indexed citations
15.
Amato, P., et al.. (2016). Fast Decoding ECC for Future Memories. IEEE Journal on Selected Areas in Communications. 34(9). 2486–2497. 8 indexed citations
16.
Ferrari, Marco, et al.. (2010). Low Complexity, Quasi-Optimal MIMO Detectors for Iterative Receivers. IEEE Transactions on Wireless Communications. 9(10). 3166–3177. 11 indexed citations
17.
Ferrari, Marco & S. Bellini. (2009). Rate Variable, Multi-Binary Turbo Codes with Controlled Error-Floor. IEEE Transactions on Communications. 57(5). 1209–1214. 5 indexed citations
18.
Caire, Giuseppe, et al.. (2009). On the selection of semi-orthogonal users for zero-forcing beamforming. 1100–1104. 19 indexed citations
19.
Ferrari, Marco, et al.. (2007). Performance of Reed–Solomon codes in concatenated schemes with nonideal interleaving. European Transactions on Telecommunications. 18(7). 693–703.
20.
Ferrari, Marco, et al.. (2007). Turbo-LORD: A MAP-Approaching Soft-Input Soft-Output Detector for Iterative MIMO Receivers. 3504–3508. 7 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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