Valerio Luconi

450 total citations
25 papers, 258 citations indexed

About

Valerio Luconi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Valerio Luconi has authored 25 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Valerio Luconi's work include Network Traffic and Congestion Control (7 papers), Green IT and Sustainability (7 papers) and IoT and Edge/Fog Computing (6 papers). Valerio Luconi is often cited by papers focused on Network Traffic and Congestion Control (7 papers), Green IT and Sustainability (7 papers) and IoT and Edge/Fog Computing (6 papers). Valerio Luconi collaborates with scholars based in Italy, Switzerland and United States. Valerio Luconi's co-authors include Alessio Vecchio, Enrico Gregori, Luciano Lenzini, Silvia Giordano, Luca Sani, Claudio Cicconetti, Nilo Redini and Frank Bruno and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Computer Networks.

In The Last Decade

Valerio Luconi

24 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valerio Luconi Italy 8 170 71 67 39 34 25 258
John P. Rula United States 11 232 1.4× 117 1.6× 114 1.7× 61 1.6× 43 1.3× 20 342
Zachary S. Bischof United States 10 235 1.4× 96 1.4× 79 1.2× 12 0.3× 42 1.2× 25 311
Mike P. Wittie United States 10 219 1.3× 80 1.1× 93 1.4× 8 0.2× 74 2.2× 37 353
Javier Miranda Spain 8 165 1.0× 37 0.5× 43 0.6× 13 0.3× 83 2.4× 23 288
Guoxing Zhan United States 8 185 1.1× 158 2.2× 64 1.0× 69 1.8× 25 0.7× 10 353
Jingyu Feng China 9 166 1.0× 136 1.9× 84 1.3× 21 0.5× 87 2.6× 31 283
Teruyuki Hasegawa Japan 8 191 1.1× 95 1.3× 104 1.6× 147 3.8× 30 0.9× 42 358
Yishuai Chen China 10 159 0.9× 73 1.0× 23 0.3× 25 0.6× 53 1.6× 62 313
Hamed Shah‐Mansouri Iran 9 261 1.5× 48 0.7× 221 3.3× 85 2.2× 52 1.5× 29 408
Mark Corner United States 7 225 1.3× 33 0.5× 126 1.9× 95 2.4× 17 0.5× 19 381

Countries citing papers authored by Valerio Luconi

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Luconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Luconi

This figure shows the co-authorship network connecting the top 25 collaborators of Valerio Luconi. A scholar is included among the top collaborators of Valerio Luconi 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 Valerio Luconi. Valerio Luconi 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.
Bruno, Frank, Valerio Luconi, & Alessio Vecchio. (2025). Enabling Network and Energy Measurements in IoT and 5G with Measure-X. CINECA IRIS Institutial research information system (University of Pisa). 1–4.
2.
Luconi, Valerio, et al.. (2023). Energy consumption of smartphones and IoT devices when using different versions of the HTTP protocol. Pervasive and Mobile Computing. 97. 101871–101871. 6 indexed citations
3.
Giordano, Silvia, et al.. (2022). Edge computing vs centralized cloud: Impact of communication latency on the energy consumption of LTE terminal nodes. Computer Communications. 194. 213–225. 24 indexed citations
4.
Luconi, Valerio, et al.. (2022). Saving energy on smartphones through edge computing. CINECA IRIS Institutial research information system (University of Pisa). 20–25. 2 indexed citations
5.
Luconi, Valerio, et al.. (2021). A worldwide study on the geographic locality of Internet routes. Computer Networks. 201. 108555–108555. 2 indexed citations
6.
Cicconetti, Claudio, et al.. (2021). Measurement-driven design and runtime optimization in edge computing: Methodology and tools. Computer Networks. 194. 108140–108140. 2 indexed citations
7.
Luconi, Valerio, et al.. (2020). Impact of the COVID-19 pandemic on the Internet latency: A large-scale study. Computer Networks. 182. 107495–107495. 57 indexed citations
8.
Cicconetti, Claudio, et al.. (2020). MECPerf: An Application-Level Tool for Estimating the Network Performance in Edge Computing Environments. CINECA IRIS Institutial research information system (University of Pisa). 1163–1168. 1 indexed citations
9.
Luconi, Valerio, et al.. (2019). TCP‐based traceroute: An evaluation of different probing methods. Internet Technology Letters. 3(1). 3 indexed citations
10.
Gregori, Enrico, et al.. (2019). Using RIPE Atlas for Geolocating IP Infrastructure. IEEE Access. 7. 48816–48829. 14 indexed citations
11.
Gregori, Enrico, et al.. (2019). Dissecting the Speed-of-Internet of Middle East. CINECA IRIS Institutial research information system (University of Pisa). 720–725. 2 indexed citations
12.
Gregori, Enrico, Valerio Luconi, & Alessio Vecchio. (2018). Studying forwarding differences in european mobile broadband with a net neutrality perspective. CINECA IRIS Institutial research information system (University of Pisa). 81–87. 3 indexed citations
13.
Gregori, Enrico, Valerio Luconi, & Alessio Vecchio. (2018). NeutMon: Studying neutrality in European mobile networks. CINECA IRIS Institutial research information system (University of Pisa). 523–528. 2 indexed citations
14.
Luconi, Valerio, et al.. (2017). Smartphone-based geolocation of Internet hosts. Computer Networks. 116. 22–32. 7 indexed citations
15.
Gregori, Enrico, et al.. (2016). Smartphone-based crowdsourcing for estimating the bottleneck capacity in wireless networks. Journal of Network and Computer Applications. 64. 62–75. 8 indexed citations
16.
Gregori, Enrico, et al.. (2015). Measuring the Internet Topology with Smartphones. 45–50. 2 indexed citations
17.
Gregori, Enrico, et al.. (2014). Smartphone-based crowdsourcing for network monitoring: Opportunities, challenges, and a case study. IEEE Communications Magazine. 52(1). 106–113. 65 indexed citations
18.
Luconi, Valerio, et al.. (2014). Supporting the Development of Network-Aware Reactive Applications on Smartphones. CINECA IRIS Institutial research information system (University of Pisa). 24–30. 1 indexed citations
19.
Gregori, Enrico, et al.. (2013). Network sensing through smartphone-based crowdsourcing. CINECA IRIS Institutial research information system (University of Pisa). 1–2. 8 indexed citations
20.
Gregori, Enrico, Luciano Lenzini, Valerio Luconi, & Alessio Vecchio. (2013). Sensing the Internet through crowdsourcing. CINECA IRIS Institutial research information system (University of Pisa). 36. 248–254. 19 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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