Loreto Pescosolido

589 citations
29 papers · 394 indexed · h-index 12

Loreto Pescosolido

27 papers receiving 373 citations

Peers

Loreto Pescosolido
Comparison fields: 5 of 64
  • Computer Networks and Communications 288
  • Molecular Medicine 21
  • Electrical and Electronic Engineering 157
  • Computer Vision and Pattern Recognition 35
  • Health Informatics 2
Replace K. Murugan with:
K. Murugan India
D. Sridharan India
Ali Hammad Akbar Pakistan
Yujie Zhu China
Hariharasudhan Viswanathan United States
Xiaoqiang Chen China
Rajakumar Arul India
Stefano Tennina Italy
Lionel Nkenyereye South Korea
Eduardo Feo Flushing Switzerland
Loreto Pescosolido relative to K. Murugan India K. Murugan's profile →
Citations per field
00.5×10.5×
K. Murugan · 1×
Citations per year

Countries citing papers authored by Loreto Pescosolido

Since Specialization
Citations

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

Fields of papers citing papers by Loreto Pescosolido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Loreto Pescosolido, 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 Loreto Pescosolido Line = papers co-authored together Loreto Pescosolido links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20211
3 20205
4 20196
5 201839
6 20184
7 201614
8 201514
9 20151
10 201419
11 20137
12 201110
13 20119
14 200929
15 20083
16 20071
17 200631
18 200611
19 20064
20 20066

About Loreto Pescosolido

Loreto Pescosolido is a scholar working on Computer Networks and Communications, Health Informatics and Electrical and Electronic Engineering, having authored 29 papers that have together received 394 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (9 papers), Cognitive Radio Networks and Spectrum Sensing (7 papers), Distributed Control Multi-Agent Systems (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Wireless Communication Security Techniques (3 papers), Cooperative Communication and Network Coding (3 papers), IoT and Edge/Fog Computing (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (288 citations), Molecular Medicine (21 citations) and Electrical and Electronic Engineering (157 citations). Loreto Pescosolido has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Sergio Barbarossa, Gesualdo Scutari, Chiara Petrioli, Viktória Fodor, Gian Marco Revel, Lorenzo Scalise, G. Orlandi, Riccardo Berta, Daniele Ludovici and Andrea Monteriù. Their work appears in journals such as IEEE Transactions on Signal Processing, Sensors and IEEE Transactions on Parallel and Distributed Systems.

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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