Giuliano Laccetti

920 total citations
46 papers, 431 citations indexed

About

Giuliano Laccetti is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Giuliano Laccetti has authored 46 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 17 papers in Hardware and Architecture and 12 papers in Information Systems. Recurrent topics in Giuliano Laccetti's work include Distributed and Parallel Computing Systems (18 papers), Parallel Computing and Optimization Techniques (15 papers) and Cloud Computing and Resource Management (11 papers). Giuliano Laccetti is often cited by papers focused on Distributed and Parallel Computing Systems (18 papers), Parallel Computing and Optimization Techniques (15 papers) and Cloud Computing and Resource Management (11 papers). Giuliano Laccetti collaborates with scholars based in Italy, Denmark and France. Giuliano Laccetti's co-authors include Luisa D’Amore, A. Murli, Marco Lapegna, Raffaele Montella, Giulio Giunta, Diego Romano, Alfredo Petrosino, Sokol Kosta, Giuseppe Scotti and Diana Di Luccio and has published in prestigious journals such as IEEE Access, Pattern Recognition and Future Generation Computer Systems.

In The Last Decade

Giuliano Laccetti

42 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuliano Laccetti Italy 14 149 86 69 57 46 46 431
Tiankai Tu United States 14 217 1.5× 50 0.6× 97 1.4× 90 1.6× 67 1.5× 23 677
Livia Marcellino Italy 15 68 0.5× 43 0.5× 19 0.3× 134 2.4× 81 1.8× 56 512
Everett Phillips United States 10 240 1.6× 63 0.7× 279 4.0× 124 2.2× 112 2.4× 14 752
Zhiyuan Li China 15 385 2.6× 103 1.2× 98 1.4× 73 1.3× 68 1.5× 73 800
Maryam Mehri Dehnavi Canada 11 125 0.8× 64 0.7× 121 1.8× 47 0.8× 63 1.4× 35 375
Osamu Tatebe Japan 5 110 0.7× 38 0.4× 85 1.2× 21 0.4× 50 1.1× 8 414
Massimo Cafaro Italy 12 331 2.2× 102 1.2× 77 1.1× 26 0.5× 85 1.8× 86 565
Christopher Dyken Norway 8 87 0.6× 35 0.4× 88 1.3× 108 1.9× 27 0.6× 11 370
André R. Brodtkorb Norway 8 151 1.0× 54 0.6× 141 2.0× 76 1.3× 83 1.8× 23 615
J. H. Chen United States 11 136 0.9× 26 0.3× 81 1.2× 60 1.1× 20 0.4× 13 1.6k

Countries citing papers authored by Giuliano Laccetti

Since Specialization
Citations

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

Fields of papers citing papers by Giuliano Laccetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuliano Laccetti

This figure shows the co-authorship network connecting the top 25 collaborators of Giuliano Laccetti. A scholar is included among the top collaborators of Giuliano Laccetti 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 Giuliano Laccetti. Giuliano Laccetti 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.
Lapegna, Marco, Giuliano Laccetti, Raffaele Montella, & Diego Romano. (2024). Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris. CINECA IRIS Institutial research information system (Parthenope University of Naples). 51–58. 2 indexed citations
2.
Garcia‐Blas, Javier, et al.. (2023). A novel approach for large‐scale environmental data partitioning on cloud and on‐premises storage for compute continuum applications. Concurrency and Computation Practice and Experience. 35(25).
3.
Laccetti, Giuliano, Marco Lapegna, & Raffaele Montella. (2022). Toward a high-performance clustering algorithm for securing edge computing environments. CINECA IRIS Institutial research information system (Parthenope University of Naples). 145. 820–825. 2 indexed citations
4.
Laccetti, Giuliano, et al.. (2020). Performance enhancement of a dynamic K-means algorithm through a parallel adaptive strategy on multicore CPUs. Journal of Parallel and Distributed Computing. 145. 34–41. 20 indexed citations
5.
Romano, Diego, et al.. (2020). Designing a GPU-parallel algorithm for raw SAR data compression: A focus on parallel performance estimation. Future Generation Computer Systems. 112. 695–708. 15 indexed citations
6.
Laccetti, Giuliano, Marco Lapegna, Raffaele Montella, & Sokol Kosta. (2018). Models, algorithms, and tools for highly heterogeneous computing environments. Concurrency and Computation Practice and Experience. 30(24). 1 indexed citations
7.
Barone, Giovanni, et al.. (2016). An Approach to Forecast Queue Time in Adaptive Scheduling: How to Mediate System Efficiency and Users Satisfaction. International Journal of Parallel Programming. 45(5). 1164–1193. 10 indexed citations
8.
Montella, Raffaele, Giulio Giunta, Giuliano Laccetti, et al.. (2016). On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework. International Journal of Parallel Programming. 45(5). 1142–1163. 26 indexed citations
9.
D’Amore, Luisa, Giuliano Laccetti, Diego Romano, Giuseppe Scotti, & A. Murli. (2014). Towards a parallel component in a GPU–CUDA environment: a case study with the L-BFGS Harwell routine. International Journal of Computer Mathematics. 92(1). 59–76. 19 indexed citations
10.
Murli, A., Luisa D’Amore, Giuliano Laccetti, Francesco Gregoretti, & Gennaro Oliva. (2010). A multi‐grained distributed implementation of the parallel Block Conjugate Gradient algorithm. Concurrency and Computation Practice and Experience. 22(15). 2053–2072. 7 indexed citations
11.
Giunta, Giulio, Giuliano Laccetti, & Raffaele Montella. (2008). Five Dimension Environmental Data Resource Brokering on Computational Grids and Scientific Clouds. CINECA IRIS Institutial research information system (Parthenope University of Naples). 20. 81–88. 5 indexed citations
12.
Laccetti, Giuliano, et al.. (2007). A framework model for grid security. Future Generation Computer Systems. 23(5). 702–713. 20 indexed citations
13.
Laccetti, Giuliano, et al.. (2007). Brute force attacks on hash functions. Journal of Discrete Mathematical Sciences and Cryptography. 10(3). 439–460. 3 indexed citations
14.
Gregoretti, Francesco, Giuliano Laccetti, A. Murli, Gennaro Oliva, & Umberto Scafuri. (2007). MGF: A grid-enabled MPI library. Future Generation Computer Systems. 24(2). 158–165. 5 indexed citations
15.
Laccetti, Giuliano, Lucia Maddalena, & Alfredo Petrosino. (2006). P-LSR: A Parallel Algorithm for Line Scratch Restoration. 225–230. 2 indexed citations
16.
Ceccarelli, Michele, Giuliano Laccetti, & Alfredo Petrosino. (2004). High performance missing data detection and interpolation for video compression and restoration applications. 100. 5–5. 1 indexed citations
17.
D’Amore, Luisa, Mario Rosario Guarracino, & Giuliano Laccetti. (2003). On the parallelization of a commercial PSE for scientific computing. 27. 441–448.
18.
D’Amore, Luisa, Giuliano Laccetti, & A. Murli. (1999). An implementation of a Fourier series method for the numerical inversion of the Laplace transform. ACM Transactions on Mathematical Software. 25(3). 279–305. 51 indexed citations
19.
D’Amore, Luisa, Giuliano Laccetti, & A. Murli. (1999). Algorithm 796. ACM Transactions on Mathematical Software. 25(3). 306–315. 23 indexed citations
20.
Giunta, Giulio, et al.. (1990). A numerical method for locating the abscissa of convergence of a laplace transform function with no singularity at infinity. International Journal of Computer Mathematics. 37(1-2). 89–103. 4 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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