Gabriele D’Angelo

1.2k total citations
55 papers, 560 citations indexed

About

Gabriele D’Angelo is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Gabriele D’Angelo has authored 55 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 21 papers in Management Science and Operations Research and 20 papers in Information Systems. Recurrent topics in Gabriele D’Angelo's work include Simulation Techniques and Applications (21 papers), Distributed and Parallel Computing Systems (20 papers) and Blockchain Technology Applications and Security (17 papers). Gabriele D’Angelo is often cited by papers focused on Simulation Techniques and Applications (21 papers), Distributed and Parallel Computing Systems (20 papers) and Blockchain Technology Applications and Security (17 papers). Gabriele D’Angelo collaborates with scholars based in Italy, Spain and Macao. Gabriele D’Angelo's co-authors include Stefano Ferretti, Moreno Marzolla, Luciano Bononi, Lorenzo Donatiello, Mirko Zichichi, Vittorio Ghini, Victor Rodrı́guez-Doncel, Marco Di Felice, Emanuele Lattanzi and Angelo Di Iorio and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer.

In The Last Decade

Gabriele D’Angelo

47 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele D’Angelo Italy 14 313 235 178 78 64 55 560
Galina Schwartz United States 13 307 1.0× 231 1.0× 139 0.8× 88 1.1× 215 3.4× 30 862
Pekka Pääkkönen Finland 11 180 0.6× 143 0.6× 88 0.5× 77 1.0× 71 1.1× 34 439
Víctor Muntés-Mulero Spain 13 369 1.2× 322 1.4× 66 0.4× 194 2.5× 22 0.3× 40 645
Tami Tamir Israel 17 495 1.6× 96 0.4× 149 0.8× 103 1.3× 71 1.1× 56 798
Gary Tan Singapore 16 289 0.9× 50 0.2× 301 1.7× 79 1.0× 38 0.6× 69 683
Giorgos Kollias United States 7 136 0.4× 191 0.8× 111 0.6× 175 2.2× 21 0.3× 12 651
Andrea Tundis Germany 13 102 0.3× 151 0.6× 100 0.6× 112 1.4× 52 0.8× 61 490
Colin Tankard United States 6 283 0.9× 282 1.2× 43 0.2× 172 2.2× 23 0.4× 23 560
George Karabatis United States 14 315 1.0× 214 0.9× 75 0.4× 283 3.6× 34 0.5× 41 623
Mohammad Kazem Akbari Iran 11 251 0.8× 277 1.2× 28 0.2× 185 2.4× 72 1.1× 48 594

Countries citing papers authored by Gabriele D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriele D’Angelo. 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 Gabriele D’Angelo. The network helps show where Gabriele D’Angelo may publish in the future.

Co-authorship network of co-authors of Gabriele D’Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele D’Angelo. A scholar is included among the top collaborators of Gabriele D’Angelo 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 Gabriele D’Angelo. Gabriele D’Angelo 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.
D’Angelo, Gabriele, et al.. (2025). A Framework for the Development of Sustainable Smart Services for the Countryside. Computer. 58(12). 36–45.
2.
Ferretti, Stefano, Gabriele D’Angelo, & Vittorio Ghini. (2025). Enhancing Anti-Money Laundering Frameworks: An Application of Graph Neural Networks in Cryptocurrency Transaction Classification. IEEE Access. 13. 50201–50215. 1 indexed citations
3.
Ferretti, Stefano, Gabriele D’Angelo, & Vittorio Ghini. (2024). On the Use of Heterogeneous Graph Neural Networks for Detecting Malicious Activities: a Case Study with Cryptocurrencies. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 33–40. 1 indexed citations
4.
D’Angelo, Gabriele, et al.. (2023). An Auditable Confidentiality Protocol for Blockchain Transactions. SSRN Electronic Journal. 3 indexed citations
5.
Zichichi, Mirko, et al.. (2023). On the Decentralization of Health Systems for Data Availability: a DLT-based Architecture. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 372–377. 1 indexed citations
6.
Marzolla, Moreno, et al.. (2023). A review of multilevel modeling and simulation for human mobility and behavior. Simulation Modelling Practice and Theory. 127. 102780–102780. 9 indexed citations
7.
Zichichi, Mirko, et al.. (2022). Complex queries over decentralised systems for geodata retrieval. IET Networks. 12(2). 37–52. 5 indexed citations
8.
Zichichi, Mirko, et al.. (2022). Simulation of the Internet Computer Protocol: the Next Generation Multi-Blockchain Architecture. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 119–126.
9.
D’Angelo, Gabriele, et al.. (2020). Implications of dissemination strategies on the security of distributed ledgers. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2 indexed citations
10.
Malik, Asad Waqar, et al.. (2019). SEECSSim: A toolkit for parallel and distributed simulations for mobile devices. Journal of Simulation. 15(3). 235–260.
11.
Ferretti, Stefano & Gabriele D’Angelo. (2019). Foreword to the special issue on cryptocurrencies and blockchains for distributed systems. Concurrency and Computation Practice and Experience. 32(12). 1 indexed citations
12.
Malik, Asad Waqar, et al.. (2018). SEECSSim: a parallel and distributed simulation framework for mobile devices. 263–269. 1 indexed citations
13.
Malik, Asad Waqar, et al.. (2018). SEECSSim - A Parallel and Distributed Simulation Framework for Mobile Devices. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4. 1–7. 1 indexed citations
14.
D’Angelo, Gabriele & Stefano Ferretti. (2016). Highly intensive data dissemination in complex networks. Journal of Parallel and Distributed Computing. 99. 28–50. 13 indexed citations
15.
D’Angelo, Gabriele, Stefano Ferretti, & Moreno Marzolla. (2012). Time warp on the go. 242–248. 7 indexed citations
16.
D’Angelo, Gabriele. (2005). ARTIS: Design and Implementation of an Adaptive Middleware for Parallel and Distributed Simulation. 1 indexed citations
17.
Bononi, Luciano, et al.. (2004). A New Adaptive Middleware for Parallel and Distributed Simulation of Dynamically Interacting Systems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 178–187. 17 indexed citations
18.
Bononi, Luciano, Gabriele D’Angelo, & Lorenzo Donatiello. (2003). HLA-based adaptive distributed simulation of wireless mobile systems. 40–49. 25 indexed citations
19.
20.
D’Angelo, Gabriele, et al.. (1970). A New Software Tool For Analysis And Design OfInduction Machines. WIT transactions on engineering sciences. 11. 1 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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