Emilio Coppa

532 total citations
22 papers, 245 citations indexed

About

Emilio Coppa is a scholar working on Information Systems, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Emilio Coppa has authored 22 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Signal Processing and 9 papers in Hardware and Architecture. Recurrent topics in Emilio Coppa's work include Advanced Malware Detection Techniques (12 papers), Parallel Computing and Optimization Techniques (9 papers) and Software Testing and Debugging Techniques (8 papers). Emilio Coppa is often cited by papers focused on Advanced Malware Detection Techniques (12 papers), Parallel Computing and Optimization Techniques (9 papers) and Software Testing and Debugging Techniques (8 papers). Emilio Coppa collaborates with scholars based in Italy, United Kingdom and United States. Emilio Coppa's co-authors include Camil Demetrescu, Irene Finocchi, Daniele Cono D’Elia, Lorenzo Cavallaro, Heng Yin, Giuseppe Santucci, Marco Angelini, Stefano Cappai and Silvia Bonomi and has published in prestigious journals such as Information Sciences, IEEE Transactions on Software Engineering and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Emilio Coppa

20 papers receiving 229 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emilio Coppa Italy 9 134 117 104 99 69 22 245
Daniele Cono D’Elia Italy 9 105 0.8× 59 0.5× 122 1.2× 91 0.9× 110 1.6× 23 232
Xiaozhu Meng United States 9 104 0.8× 121 1.0× 75 0.7× 47 0.5× 79 1.1× 17 237
Manuel Rigger Singapore 9 153 1.1× 86 0.7× 47 0.5× 90 0.9× 98 1.4× 31 257
Thomas Dullien Switzerland 5 72 0.5× 112 1.0× 178 1.7× 92 0.9× 104 1.5× 6 228
Ju Qian China 8 106 0.8× 215 1.8× 88 0.8× 238 2.4× 82 1.2× 28 336
Yudi Zheng Switzerland 9 156 1.2× 133 1.1× 48 0.5× 98 1.0× 101 1.5× 30 269
Taisook Han South Korea 8 86 0.6× 158 1.4× 156 1.5× 43 0.4× 72 1.0× 36 261
Nilo Redini United States 9 96 0.7× 104 0.9× 200 1.9× 82 0.8× 116 1.7× 13 256
Jingyue Wu United States 10 204 1.5× 106 0.9× 54 0.5× 112 1.1× 65 0.9× 15 346
Alessandro Morari United States 10 130 1.0× 180 1.5× 77 0.7× 92 0.9× 61 0.9× 27 295

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-authorship network of co-authors of Emilio Coppa

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Coppa. A scholar is included among the top collaborators of Emilio Coppa 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 Emilio Coppa. Emilio Coppa 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
1.
Coppa, Emilio, et al.. (2024). SoK: A Unified Data Model for Smart Contract Vulnerability Taxonomies. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–13. 1 indexed citations
2.
Bonomi, Silvia, Stefano Cappai, & Emilio Coppa. (2023). On the Efficacy of Smart Contract Analysis Tools. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 37–38.
3.
Coppa, Emilio, Heng Yin, & Camil Demetrescu. (2022). SymFusion: Hybrid Instrumentation for Concolic Execution. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–12. 5 indexed citations
4.
Coppa, Emilio, et al.. (2022). SENinja: A symbolic execution plugin for Binary Ninja. SoftwareX. 20. 101219–101219.
5.
Coppa, Emilio, et al.. (2022). Handling Memory-Intensive Operations in Symbolic Execution. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–5. 2 indexed citations
6.
Coppa, Emilio, et al.. (2021). FUZZOLIC: Mixing fuzzing and concolic execution. Computers & Security. 108. 102368–102368. 14 indexed citations
7.
D’Elia, Daniele Cono, et al.. (2020). On the Dissection of Evasive Malware. IEEE Transactions on Information Forensics and Security. 15. 2750–2765. 31 indexed citations
8.
Angelini, Marco, et al.. (2019). SymNav: Visually Assisting Symbolic Execution. IRIS Research product catalog (Sapienza University of Rome). 1–11. 6 indexed citations
9.
Coppa, Emilio, et al.. (2019). Memory models in symbolic execution: key ideas and new thoughts. Software Testing Verification and Reliability. 29(8). 10 indexed citations
10.
D’Elia, Daniele Cono, et al.. (2019). Static Analysis of ROP Code. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–6. 3 indexed citations
11.
Coppa, Emilio, et al.. (2019). The ROP needle. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1962–1970. 6 indexed citations
12.
D’Elia, Daniele Cono, et al.. (2019). SoK. IRIS Research product catalog (Sapienza University of Rome). 15–27. 26 indexed citations
13.
Angelini, Marco, et al.. (2018). ROPMate: Visually Assisting the Creation of ROP-based Exploits. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1–8. 6 indexed citations
14.
Coppa, Emilio, et al.. (2018). Counting cliques in parallel without a cluster: Engineering a fork/join algorithm for shared-memory platforms. Information Sciences. 496. 553–571. 4 indexed citations
15.
Coppa, Emilio, Daniele Cono D’Elia, & Camil Demetrescu. (2017). Rethinking pointer reasoning in symbolic execution. IRIS Research product catalog (Sapienza University of Rome). 613–618. 14 indexed citations
16.
Coppa, Emilio & Irene Finocchi. (2015). On data skewness, stragglers, and MapReduce progress indicators. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 139–152. 23 indexed citations
17.
Coppa, Emilio. (2015). An interactive visualization framework for performance analysis. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 1 indexed citations
18.
Coppa, Emilio, et al.. (2014). Estimating the Empirical Cost Function of Routines with Dynamic Workloads. Cineca Institutional Research Information System (Tor Vergata University). 230–239. 8 indexed citations
19.
Coppa, Emilio, et al.. (2014). Estimating the Empirical Cost Function of Routines with Dynamic Workloads. 230–239. 5 indexed citations
20.
Coppa, Emilio, Camil Demetrescu, & Irene Finocchi. (2012). Input-sensitive profiling. IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli). 89–98. 62 indexed citations

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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