Emilio Coppa

539 citations
22 papers · 249 · h-index 9

Impact in

Papers in

    • Cloud Computing and Resource Management 4
    • Digital and Cyber Forensics 4
    • Software Engineering Research 3
    • Advanced Malware Detection Techniques 12

Emilio Coppa

21 papers receiving 236 citations

Peers

Emilio Coppa
Comparison fields: 5 of 30
  • Software 101
  • Signal Processing 105
  • Hardware and Architecture 59
  • Computer Networks and Communications 137
  • Information Systems 118
Replace Daniele Cono D’Elia with:
Daniele Cono D’Elia Italy
Thomas Dullien United States
Taisook Han South Korea
Ju Qian China
George Balatsouras Greece
Raghavan Komondoor India
Chong Sun United States
Jingyue Wu United States
Dongdong She United States
Nilo Redini United States
Emilio Coppa relative to Daniele Cono D’Elia Italy Daniele Cono D’Elia's profile →
Citations per field
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Daniele Cono D’Elia · 1×
Citations per year

Countries citing papers authored by Emilio Coppa

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Coppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Emilio Coppa, 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 Emilio Coppa Line = papers co-authored together Emilio Coppa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201262
2 202031
3 201928
4 201523
5 201715
6 202114
7 201910
8 20129
9 20149
10 20148
11 20196
12 20196
13 20186
14 20225
15 20145
16 20184
17 20193
18 20222
19 20221
20 20241

About Emilio Coppa

Emilio Coppa is a scholar working on Information Systems, Signal Processing, Hardware and Architecture, Software and Computer Networks and Communications, having authored 22 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Parallel Computing and Optimization Techniques (9 papers), Software Testing and Debugging Techniques (8 papers), Security and Verification in Computing (6 papers), Software System Performance and Reliability (4 papers), Cloud Computing and Resource Management (4 papers), Digital and Cyber Forensics (4 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Software (101 citations), Signal Processing (105 citations), Hardware and Architecture (59 citations), Computer Networks and Communications (137 citations) and Information Systems (118 citations). Emilio Coppa has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Camil Demetrescu, Irene Finocchi, Daniele Cono D’Elia, Lorenzo Cavallaro, Heng Yin, Giuseppe Santucci, Marco Angelini, Stefano Cappai and Silvia Bonomi. Their work appears in journals such as Software Testing Verification and Reliability, Information Sciences, SoftwareX, Computers & Security and IEEE Transactions on Information Forensics and Security.

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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