Marco Aldinucci

3.1k total citations · 1 hit paper
121 papers, 976 citations indexed

About

Marco Aldinucci is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Marco Aldinucci has authored 121 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 41 papers in Hardware and Architecture and 36 papers in Artificial Intelligence. Recurrent topics in Marco Aldinucci's work include Distributed and Parallel Computing Systems (48 papers), Parallel Computing and Optimization Techniques (41 papers) and Advanced Data Storage Technologies (21 papers). Marco Aldinucci is often cited by papers focused on Distributed and Parallel Computing Systems (48 papers), Parallel Computing and Optimization Techniques (41 papers) and Advanced Data Storage Technologies (21 papers). Marco Aldinucci collaborates with scholars based in Italy, United Kingdom and United States. Marco Aldinucci's co-authors include Marco Danelutto, Concetto Spampinato, Simone Palazzo, Daniela Giordano, Rosalia Leonardi, Massimo Torquati, Peter Kilpatrick, Maurizio Drocco, Patrizio Dazzi and Marco Vanneschi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Marco Aldinucci

104 papers receiving 919 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for automated skeletal bone age assessment in X-ray images

2016 300 citations Concetto Spampinato, Marco Aldinucci et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Aldinucci Italy	15	444	296	224	208	161	121	976
Wei Zou China	13	178 0.4×	79 0.3×	185 0.8×	463 2.2×	4 0.0×	43	1.0k
Michael Kistler United States	15	1.2k 2.7×	1.5k 5.1×	565 2.5×	208 1.0×	9 0.1×	27	2.6k
S. Ravi India	15	345 0.8×	100 0.3×	230 1.0×	498 2.4×	2 0.0×	59	1.2k
Ajaz Hussain Mir India	14	253 0.6×	12 0.0×	102 0.5×	158 0.8×	13 0.1×	90	873
Noël De Palma France	10	263 0.6×	34 0.1×	210 0.9×	174 0.8×		54	470
Ulrich Meyer Germany	14	266 0.6×	179 0.6×	102 0.5×	239 1.1×	1 0.0×	76	740
Andrew Sohn United States	11	246 0.6×	170 0.6×	65 0.3×	198 1.0×		50	577
Wei Hu China	15	446 1.0×	245 0.8×	122 0.5×	226 1.1×		124	1.1k
Anne C. Elster Norway	10	112 0.3×	108 0.4×	54 0.2×	96 0.5×	1 0.0×	50	501

Countries citing papers authored by Marco Aldinucci

Since Specialization

Citations

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

Fields of papers citing papers by Marco Aldinucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Aldinucci

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Aldinucci. A scholar is included among the top collaborators of Marco Aldinucci 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 Marco Aldinucci. Marco Aldinucci 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

Birke, Robert, et al.. (2025). Inference performance of large language models on a 64-core RISC-V CPU with silicon-enabled vectors. Future Generation Computer Systems. 177. 108242–108242.

Colonnelli, Iacopo, et al.. (2025). A comprehensive performance evaluation of TEEs for confidential DNA alignment. Future Generation Computer Systems. 175. 108031–108031. 1 indexed citations

Esposito, Roberto, et al.. (2024). Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. IEEE Access. 12. 47961–47971. 6 indexed citations

Becciani, U., et al.. (2024). The Gaia AVU–GSR solver: CPU+GPU parallel solutions for linear systems solving and covariances calculation toward exascale systems. 12. 61–61.

Aldinucci, Marco, et al.. (2024). Secure Generic Remote Workflow Execution with TEEs. 8–13. 1 indexed citations

Mittone, Gianluca, Robert Birke, Iacopo Colonnelli, et al.. (2023). Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. CINECA IRIS Institutial research information system (University of Pisa). 73–83. 4 indexed citations

Aldinucci, Marco, Elena Baralis, Valeria Cardellini, et al.. (2023). A Systematic Mapping Study of Italian Research on Workflows. CINECA IRIS Institutial research information system (University of Pisa). 2065–2076. 1 indexed citations

Arfat, Yasir, Gianluca Mittone, Iacopo Colonnelli, et al.. (2023). Pooling critical datasets with Federated Learning. 54. 329–337. 2 indexed citations

Carretero, Jesús, Javier Garcia‐Blas, Marco Aldinucci, et al.. (2023). Adaptive multi-tier intelligent data manager for Exascale. SPIRE - Sciences Po Institutional REpository. 285–290.

10.

Colonnelli, Iacopo, et al.. (2021). HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 88(5). 13. 3 indexed citations

11.

Aldinucci, Marco, Iacopo Colonnelli, Gianluca Mittone, et al.. (2021). Practical parallelization of scientific applications with OpenMP, OpenACC and MPI. Journal of Parallel and Distributed Computing. 157. 13–29. 25 indexed citations

12.

Amaral, Vasco, Miguel Goulão, Marco Aldinucci, et al.. (2019). Programming languages for data-Intensive HPC applications: A systematic mapping study. Parallel Computing. 91. 102584–102584. 20 indexed citations

13.

Danelutto, Marco, Tiziano De Matteis, Daniele De Sensi, et al.. (2017). The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. International Journal of Parallel Programming. 47(1). 74–93. 3 indexed citations

14.

Aldinucci, Marco, Salvatore Ruggieri, & Massimo Torquati. (2011). Porting Decision Tree Building and Pruning Algorithms to Multicore using FastFlow. UnipiEprints Open Archive (Università di Pisa). 2 indexed citations

15.

Aldinucci, Marco, Marco Danelutto, & Peter Kilpatrick. (2009). Handling multiple non functional concerns in behavioural skeletons. UnipiEprints Open Archive (Università di Pisa). 1 indexed citations

16.

Aldinucci, Marco, et al.. (2007). VirtuaLinux design principles. UnipiEprints Open Archive (Università di Pisa). 2 indexed citations

17.

Aldinucci, Marco, Marco Danelutto, Peter Kilpatrick, et al.. (2007). Behavioural skeletons for component autonomic management on grids. UnipiEprints Open Archive (Università di Pisa). 2 indexed citations

18.

Aldinucci, Marco, Marco Danelutto, & Patrizio Dazzi. (2007). MUSKEL: an expandable skeleton environment. Scalable Computing Practice and Experience. 8(4). 325–341. 24 indexed citations

19.

Aldinucci, Marco, et al.. (2006). Self-configuring and self-optimizing grid components in the GCM model and their ASSIST implementation. CINECA IRIS Institutial research information system (University of Pisa). 45–52. 2 indexed citations

20.

Aldinucci, Marco, et al.. (2005). Grid Technologies and c-Business for SMEs. CINECA IRIS Institutial research information system (University of Pisa). 2.

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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