M. Longo

6.9k citations
121 papers · 1.5k · h-index 19

Impact in

Papers in

M. Longo

112 papers receiving 1.4k citations

Peers

M. Longo
Comparison fields: 5 of 77
  • Computer Networks and Communications 616
  • Aerospace Engineering 599
  • Signal Processing 193
  • Oceanography 161
  • Media Technology 109
Replace Stefano Maranò with:
Stefano Maranò Italy
Chun Yang United States
Dominic Schuhmacher Switzerland
Daniel E. Clark United Kingdom
Adrian N. Bishop Australia
Antonio Napolitano Italy
J.-P. Le Cadre France
Jyh‐Ching Juang Taiwan
Harris Papadopoulos Cyprus
Iickho Song South Korea
M. Longo relative to Stefano Maranò Italy Stefano Maranò's profile →
Citations per field
00.5×5.3×
Stefano Maranò · 1×
Citations per year

Countries citing papers authored by M. Longo

Since Specialization
Citations

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

Fields of papers citing papers by M. Longo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987216
2 1991143
3 1990137
4 2012112
5 199164
6 199358
7 198353
8 199252
9 201844
10 199535
11 201331
12 201727
13 201425
14 201524
15 198824
16 202021
17 201220
18
A performance evaluation of WebRTC over LTE
201618
19 201718
20 201715

About M. Longo

M. Longo is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Media Technology, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (20 papers), Radar Systems and Signal Processing (18 papers), IPv6, Mobility, Handover, Networks, Security (14 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers), Advanced Image Fusion Techniques (11 papers), Distributed Sensor Networks and Detection Algorithms (11 papers), Network Traffic and Congestion Control (11 papers) and Advanced Optical Network Technologies (10 papers). The work is most often cited by research in Computer Networks and Communications (616 citations), Aerospace Engineering (599 citations), Signal Processing (193 citations), Oceanography (161 citations) and Media Technology (109 citations). M. Longo has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include E. Conte, Marco Lops, Mario Di Mauro, F. Postiglione, Maurizio Guida, T. Lookabaugh, Robert M. Gray, P. Addesso, Rocco Restaino and Gemine Vivone. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Signal Processing, IEEE Transactions on Network and Service Management and Reliability Engineering & System Safety.

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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