G. Montorsi

7.0k total citations · 2 hit papers
151 papers, 4.7k citations indexed

About

G. Montorsi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, G. Montorsi has authored 151 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Electrical and Electronic Engineering, 122 papers in Computer Networks and Communications and 64 papers in Artificial Intelligence. Recurrent topics in G. Montorsi's work include Advanced Wireless Communication Techniques (136 papers), Error Correcting Code Techniques (79 papers) and Wireless Communication Networks Research (55 papers). G. Montorsi is often cited by papers focused on Advanced Wireless Communication Techniques (136 papers), Error Correcting Code Techniques (79 papers) and Wireless Communication Networks Research (55 papers). G. Montorsi collaborates with scholars based in Italy, United States and Netherlands. G. Montorsi's co-authors include Sergio Benedetto, D. Divsalar, F. Pollara, Roberto Garello, Alberto Tarable, Farbod Kayhan, Fabrizio Pollara, M. Mondin, F. Vatta and Alexandre Graell i Amat and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

G. Montorsi

135 papers receiving 4.3k citations

Hit Papers

Serial concatenation of interleaved codes: performance an... 1996 2026 2006 2016 1998 1996 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
G. Montorsi Italy 31 4.4k 4.1k 1.5k 321 243 151 4.7k
F. Pollara United States 24 3.3k 0.7× 3.0k 0.7× 1.1k 0.7× 298 0.9× 164 0.7× 75 3.5k
G. Caire Italy 28 6.5k 1.5× 5.7k 1.4× 911 0.6× 265 0.8× 296 1.2× 126 6.8k
Punya Thitimajshima Thailand 6 3.8k 0.9× 3.6k 0.9× 1.2k 0.8× 286 0.9× 118 0.5× 16 4.2k
Giorgio Taricco Italy 27 5.7k 1.3× 4.9k 1.2× 546 0.4× 164 0.5× 537 2.2× 132 5.9k
Wai Ho Mow Hong Kong 26 2.3k 0.5× 1.7k 0.4× 556 0.4× 98 0.3× 205 0.8× 165 2.8k
C.N. Georghiades United States 30 3.1k 0.7× 2.5k 0.6× 538 0.4× 250 0.8× 125 0.5× 176 3.6k
Alain Glavieux France 13 7.1k 1.6× 6.4k 1.6× 1.9k 1.3× 506 1.6× 188 0.8× 20 7.7k
M.P.C. Fossorier United States 36 7.2k 1.6× 7.6k 1.9× 2.1k 1.5× 440 1.4× 99 0.4× 198 8.2k
Richard D. Wesel United States 29 2.7k 0.6× 2.9k 0.7× 520 0.4× 202 0.6× 82 0.3× 191 3.2k
B. Sundar Rajan India 26 3.7k 0.8× 3.1k 0.8× 1.1k 0.7× 130 0.4× 190 0.8× 342 4.0k

Countries citing papers authored by G. Montorsi

Since Specialization
Citations

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

Fields of papers citing papers by G. Montorsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Montorsi

This figure shows the co-authorship network connecting the top 25 collaborators of G. Montorsi. A scholar is included among the top collaborators of G. Montorsi 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 G. Montorsi. G. Montorsi 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.
Montorsi, G., et al.. (2022). Single-Frequency Network Terrestrial Broadcasting with 5GNR Numerology Using Recurrent Neural Network. Electronics. 11(19). 3130–3130. 1 indexed citations
2.
Montorsi, G. & Sergio Benedetto. (2021). Design of Spatially Coupled Turbo Product Codes for Optical Communications. 1–5. 2 indexed citations
3.
Vanelli‐Coralli, Alessandro, Alessandro Guidotti, Tommaso Foggi, Giulio Colavolpe, & G. Montorsi. (2020). 5G and Beyond 5G Non-Terrestrial Networks: trends and research challenges. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 163–169. 55 indexed citations
4.
Ugolini, Alessandro, G. Montorsi, & Giulio Colavolpe. (2018). Next Generation High-Rate Telemetry. IEEE Journal on Selected Areas in Communications. 36(2). 327–337. 5 indexed citations
5.
Montorsi, G. & Sergio Benedetto. (2018). High throughput Two-Stage Soft/Hard Codecs for Optical Communications. 35. 1–5. 5 indexed citations
6.
Arıkan, Erdal, Michael Lentmaier, & G. Montorsi. (2015). Special issue on advances in channel coding. Journal of Communications and Networks. 17(4). 325–327.
7.
Kayhan, Farbod & G. Montorsi. (2013). Code Design for Frame-Headers in Adaptive Coding and Modulation systems. 1 indexed citations
8.
Colavolpe, Giulio, G. Montorsi, & Amina Piemontese. (2012). Spectral efficiency of linear and continuous phase modulations over nonlinear satellite channels. 3175–3179. 6 indexed citations
9.
Tarable, Alberto & G. Montorsi. (2009). Multilayer spatial multiplexing in next-generation WiMAX. PORTO Publications Open Repository TOrino (Politecnico di Torino).
10.
Benedetto, Sergio, et al.. (2006). Design issues on the parallel implementation of versatile, highspeed iterative decoders. 1–10. 1 indexed citations
11.
Amat, Alexandre Graell i, et al.. (2006). Design, Simulation, and Testing of a CMOS Analog Decoder for the Block Length-40 UMTS Turbo Code. IEEE Transactions on Communications. 54(11). 1973–1982. 4 indexed citations
12.
Berrou, Claude, Catherine Douillard, G. Gallinaro, et al.. (2003). High Speed Modem Concepts and Demonstrator for Adaptive Coding and Modulation with High Order in Satellite Applications. PORTO Publications Open Repository TOrino (Politecnico di Torino). 4 indexed citations
13.
Benedetto, Sergio, M. Mondin, & G. Montorsi. (2003). Performance evaluation of trellis-coded modulation schemes. 1785–1790. 1 indexed citations
14.
Babich, F., G. Montorsi, & F. Vatta. (2002). Design of source-matched blockwise decoded convolutional codes for mobile communications. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 1. 51–55. 1 indexed citations
15.
Benedetto, Sergio, D. Divsalar, G. Montorsi, & F. Pollara. (2002). Soft-output decoding algorithms for continuous decoding of parallel concatenated convolutional codes. 1. 112–117. 28 indexed citations
16.
Vassallo, E., et al.. (1998). Improving rosetta's return-link margins. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
17.
Benedetto, Sergio, G. Montorsi, D. Divsalar, & Fabrizio Pollara. (1998). Soft‐input soft‐output modules for the construction and distributed iterative decoding of code networks. European Transactions on Telecommunications. 9(2). 155–172. 165 indexed citations
18.
Benedetto, Sergio, Roberto Garello, & G. Montorsi. (1997). The Trellis Complexity of Turbo Codes. PORTO Publications Open Repository TOrino (Politecnico di Torino). 60–65. 6 indexed citations
19.
Benedetto, Sergio, G. Montorsi, D. Divsalar, & F. Pollara. (1996). Soft-Output Decoding Algorithms in Iterative Decoding of Turbo Codes. NASA Technical Reports Server (NASA). 124. 63–87. 103 indexed citations
20.
Benedetto, Sergio & G. Montorsi. (1996). Iterative decoding of serially concatenated convolutionalcodes. Electronics Letters. 32(13). 1186–1188. 75 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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