Marco V. Barbera

821 total citations · 1 hit paper
7 papers, 484 citations indexed

About

Marco V. Barbera is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Marco V. Barbera has authored 7 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 3 papers in Electrical and Electronic Engineering and 2 papers in Signal Processing. Recurrent topics in Marco V. Barbera's work include Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers) and IoT and Edge/Fog Computing (2 papers). Marco V. Barbera is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers) and IoT and Edge/Fog Computing (2 papers). Marco V. Barbera collaborates with scholars based in Italy, Germany and United Kingdom. Marco V. Barbera's co-authors include Julinda Stefa, Alessandro Mei, Sokol Kosta, Alessandro Epasto, Aline Carneiro Viana, Marcelo Dias de Amorim, Hamed Haddadi, Gareth Tyson, Pan Hui and Alessandro Mei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ad Hoc Networks and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Marco V. Barbera

6 papers receiving 471 citations

Hit Papers

To offload or not to offload? The bandwidth and energy co... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers

Marco V. Barbera
Comparison fields: 5 of 41
  • Computer Networks and Communications 414
  • Electrical and Electronic Engineering 230
  • Information Systems 138
  • Artificial Intelligence 69
  • Computer Vision and Pattern Recognition 57
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Citations per field, relative to Marco V. Barbera
Marco V. Barbera · 1×
Citations per year, relative to Marco V. Barbera
Marco V. Barbera · 1×

Countries citing papers authored by Marco V. Barbera

Since Specialization
Citations

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

Fields of papers citing papers by Marco V. Barbera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco V. Barbera. 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 Marco V. Barbera. The network helps show where Marco V. Barbera may publish in the future.

Co-authorship network of co-authors of Marco V. Barbera

This figure shows the co-authorship network connecting the top 25 collaborators of Marco V. Barbera. A scholar is included among the top collaborators of Marco V. Barbera 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 Marco V. Barbera. Marco V. Barbera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 28
2 35
3 33
4
To offload or not to offload? The bandwidth and energy costs of mobile cloud computing breakdown →
293
5 81
6 14
7 0

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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