Diego Romano

441 total citations
30 papers, 218 citations indexed

About

Diego Romano is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diego Romano has authored 30 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diego Romano's work include Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (4 papers) and Advanced SAR Imaging Techniques (4 papers). Diego Romano is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (4 papers) and Advanced SAR Imaging Techniques (4 papers). Diego Romano collaborates with scholars based in Italy, Poland and France. Diego Romano's co-authors include Marco Lapegna, Giuliano Laccetti, Luisa D’Amore, Norbert Meyer, A. Murli, Walter Balzano, Łukasz Szustak, Giuseppe Scotti, David Fergusson and Raffaele Montella and has published in prestigious journals such as Sensors, Future Generation Computer Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Diego Romano

23 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Romano Italy	9	68	53	50	37	23	30	218
Marco Lapegna Italy	10	68 1.0×	122 2.3×	34 0.7×	37 1.0×	22 1.0×	39	280
Raghavendra Kune India	8	63 0.9×	49 0.9×	102 2.0×	25 0.7×	7 0.3×	13	236
Haitao Huang Japan	9	79 1.2×	30 0.6×	253 5.1×	59 1.6×	21 0.9×	18	456
Rongsheng Dong China	7	25 0.4×	30 0.6×	55 1.1×	76 2.1×	8 0.3×	31	286
H. A. James New Zealand	9	56 0.8×	131 2.5×	23 0.5×	26 0.7×	5 0.2×	28	249
Vaishaal Shankar United States	9	84 1.2×	98 1.8×	168 3.4×	82 2.2×	8 0.3×	16	401

Countries citing papers authored by Diego Romano

Since Specialization

Citations

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

Fields of papers citing papers by Diego Romano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Romano

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Romano. A scholar is included among the top collaborators of Diego Romano 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 Diego Romano. Diego Romano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Romano, Diego, et al.. (2025). A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform. Future Generation Computer Systems. 174. 108000–108000.

Russo, Massimiliano, Muhammad Wasif Nisar, Marco Lapegna, et al.. (2025). Detection of Single Scatterers in SAR Tomography using Multi-GPU Platforms. 1–4.

Romano, Diego, et al.. (2024). Generalized Ware-Amdhal Law. 215–221.

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

Lapegna, Marco, et al.. (2023). Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy. Future Generation Computer Systems. 147. 207–218. 4 indexed citations

Lapegna, Marco, et al.. (2023). Clustering Algorithms for Enhanced Trustworthiness on High-Performance Edge-Computing Devices. Electronics. 12(7). 1689–1689.

Coviello, Giuseppe, et al.. (2023). Citizen Science for the Sea with Information Technologies: An Open Platform for Gathering Marine Data and Marine Litter Detection from Leisure Boat Instruments. CINECA IRIS Institutial research information system (Parthenope University of Naples). 28. 1–9. 3 indexed citations

Ciampi, Mario, et al.. (2022). Process Authentication through Blockchain: Three Case Studies. Cryptography. 6(4). 58–58. 1 indexed citations

Lapegna, Marco, et al.. (2022). Towards explainable AI for hyperspectral image classification in Edge Computing environments. Computers & Electrical Engineering. 103. 108381–108381. 22 indexed citations

10.

Lapegna, Marco, Walter Balzano, Norbert Meyer, & Diego Romano. (2021). Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments. Sensors. 21(16). 5395–5395. 23 indexed citations

11.

Romano, Diego & Marco Lapegna. (2021). A GPU-Parallel Image Coregistration Algorithm for InSar Processing at the Edge. Sensors. 21(17). 5916–5916. 6 indexed citations

12.

Romano, Diego, et al.. (2021). Beyond Bitcoin: Recent Trends and Perspectives in Distributed Ledger Technology. Cryptography. 5(4). 36–36. 4 indexed citations

13.

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

14.

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

15.

Bernardo, Diego di, et al.. (2018). A GPU algorithm for tracking yeast cells in phase-contrast microscopy images. The International Journal of High Performance Computing Applications. 33(4). 651–659. 4 indexed citations

16.

Bérend, Nicolas, et al.. (2018). ALTAIR innovative air-launch system - consolidated design, lessons learned and perspective. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

17.

Romano, Diego, et al.. (2017). Beyond Bitcoin: A Critical Look at Blockchain-Based Systems. Cryptography. 1(2). 15–15. 48 indexed citations

18.

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

19.

Laccetti, Giuliano, et al.. (2014). A bidirectional path tracing method for global illumination rendering on GPU. Applied Mathematical Sciences. 8. 6783–6790. 2 indexed citations

20.

Barbera, R., E. Giorgio, Marco Fargetta, et al.. (2008). Distributed Computing Education, Part 4: Training Infrastructure. IEEE Distributed Systems Online. 9(10). 2–2. 2 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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