Michele Scalera

477 citations
26 papers · 282 indexed · h-index 12
Topics
Advanced Malware Detection Techniques (4 papers)Vehicular Ad Hoc Networks (VANETs) (3 papers)Big Data and Business Intelligence (2 papers)
Journals
SHILAP Revista de lepidopterologíaApplied SciencesJournal of Systems and Software
Partner nations
ItalySpainGreece

In The Last Decade

Michele Scalera

21 papers receiving 267 citations

Peers

Michele Scalera
Comparison fields: 5 of 75
  • Computer Networks and Communications 88
  • Information Systems 82
  • Artificial Intelligence 81
  • Electrical and Electronic Engineering 70
  • Signal Processing 57
Replace Vita Santa Barletta with:
Vita Santa Barletta Italy
Yuli Deng United States
Abdul Hadi M. Alaidi Iraq
Liping Gao China
Zia Ul Qayyum Pakistan
Olivier Liechti Japan
Abdullah Mohd Zın Malaysia
Haroon Elahi China
Ioanna Kantzavelou Greece
Guillermo Francia United States
Michele Scalera relative to Vita Santa Barletta Italy Vita Santa Barletta's profile →
Citations per field
00.5×1.7×
Vita Santa Barletta · 1×
Citations per year

Countries citing papers authored by Michele Scalera

Since Specialization
Citations

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

Fields of papers citing papers by Michele Scalera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Scalera

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Scalera. A scholar is included among the top collaborators of Michele Scalera 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 Michele Scalera. Michele Scalera 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 0
3 1
4 13
5 17
6 3
7 2
8 1
9 0
10 25
11 31
12 45
13 23
14 14
15 30
16 3
17
The Educational Cloud, Problems and Perspectives
1
18 0
19 4
20 23

About Michele Scalera

Michele Scalera is a scholar working on Computer Science Applications, Software and Management Information Systems, having authored 26 papers that have together received 282 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Signal Processing (57 citations), Computer Science Applications (25 citations) and Computer Networks and Communications (88 citations). Michele Scalera has collaborated with scholars based in Italy, Spain and Greece. Frequent co-authors include Danilo Caivano, Vita Santa Barletta, Giovanni Dimauro, María Teresa Baldassarre, Agostino Marengo, Francesco Girardi, Azzurra Ragone, Manuel Serrano, Ricardo Pérez‐Castillo and Mario Piattini. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Journal of Systems and Software.

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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