Marco Lapegna

627 citations
39 papers · 280 indexed · h-index 10
Topics
Parallel Computing and Optimization Techniques (12 papers)Distributed and Parallel Computing Systems (8 papers)Cloud Computing and Resource Management (7 papers)
Partner nations
ItalyDenmarkSpain

In The Last Decade

Marco Lapegna

33 papers receiving 270 citations

Peers

Marco Lapegna
Comparison fields: 5 of 68
  • Computer Networks and Communications 122
  • Information Systems 68
  • Hardware and Architecture 54
  • Computer Vision and Pattern Recognition 37
  • Artificial Intelligence 34
Replace Haihang You with:
Haihang You China
Diego Romano Italy
Jon M. Hjelmervik Norway
R. C. Steinke United States
José C. Cunha Portugal
Fabrice Dupros France
Tamir Hegazy United States
M.K. Dhodhi Kuwait
Gregg Rabideau United States
Nikoli Dryden United States
Marco Lapegna relative to Haihang You China Haihang You's profile →
Citations per field
00.5×1.5×
Haihang You · 1×
Citations per year

Countries citing papers authored by Marco Lapegna

Since Specialization
Citations

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

Fields of papers citing papers by Marco Lapegna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Lapegna

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Lapegna. A scholar is included among the top collaborators of Marco Lapegna 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 Lapegna. Marco Lapegna 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
#WorkIndexed citations
1 0
2 1
3 0
4 0
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6 4
7 0
8 1
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10 7
11 22
12 2
13 23
14 6
15 20
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18 26
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About Marco Lapegna

Marco Lapegna is a scholar working on Hardware and Architecture, Computational Mathematics and Computer Networks and Communications, having authored 39 papers that have together received 280 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Distributed and Parallel Computing Systems (8 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Hardware and Architecture (54 citations), Computer Networks and Communications (122 citations) and Computational Mathematics (3 citations). Marco Lapegna has collaborated with scholars based in Italy, Denmark and Spain. Frequent co-authors include Diego Romano, Giuliano Laccetti, Raffaele Montella, Walter Balzano, Diana Di Luccio, Sokol Kosta, Norbert Meyer, Giulio Giunta, Łukasz Szustak and A. Murli. Their work appears in journals such as IEEE Access, Sensors and Future Generation Computer 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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