Tommaso Melodia

20.0k citations
303 papers · 13.4k indexed · 6 hit papers · h-index 49

Tommaso Melodia

282 papers receiving 12.7k citations

Hit Papers

Understan...465200420262011201850010001.5k2.0k

Peers

Tommaso Melodia
Comparison fields: 5 of 129
  • Computer Networks and Communications 8.5k
  • Ocean Engineering 4.4k
  • Electrical and Electronic Engineering 7.9k
  • Water Science and Technology 902
  • Signal Processing 674
Replace Dario Pompili with:
Dario Pompili United States
Georges Kaddoum Canada
Mohamed Younis United States
Davide Dardari Italy
Ryan Kastner United States
Jie Wang China
Özgür B. Akan Türkiye
Octavia A. Dobre Canada
T. Aaron Gulliver Canada
Sumit Roy United States
Tommaso Melodia relative to Dario Pompili United States Dario Pompili's profile →
Citations per field
00.5×4.5×
Dario Pompili · 1×
Citations per year

Countries citing papers authored by Tommaso Melodia

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Melodia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tommaso Melodia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tommaso Melodia Line = papers co-authored together Tommaso Melodia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20243
5 20242
6 20241
7 20242
8 20241
9 202418
10 20241
11 20246
12 202314
13 202318
14 20227
15 20217
16 20208
17 2020172
18 2019165
19 201684
20 201621

About Tommaso Melodia

Tommaso Melodia is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering, Signal Processing and Aerospace Engineering, having authored 303 papers that have together received 13.4k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (65 papers), Energy Harvesting in Wireless Networks (64 papers), Energy Efficient Wireless Sensor Networks (56 papers), Underwater Vehicles and Communication Systems (52 papers), Wireless Body Area Networks (35 papers), Indoor and Outdoor Localization Technologies (32 papers), Software-Defined Networks and 5G (29 papers) and Cooperative Communication and Network Coding (28 papers). The work is most often cited by research in Computer Networks and Communications (8.5k citations), Ocean Engineering (4.4k citations), Electrical and Electronic Engineering (7.9k citations), Water Science and Technology (902 citations) and Signal Processing (674 citations). Tommaso Melodia has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Ian F. Akyildiz, Dario Pompili, Kaushik Chowdhury, Salvatore D’Oro, Michele Polese, Leonardo Bonati, Francesco Restuccia, Stefano Basagni, G. Enrico Santagati and Zhangyu Guan. Their work appears in journals such as IEEE Transactions on Mobile Computing, Ad Hoc Networks, Computer Networks, IEEE/ACM Transactions on Networking and IEEE Transactions on Wireless 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026