Iacopo Colonnelli

635 total citations
20 papers, 74 citations indexed

About

Iacopo Colonnelli is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Iacopo Colonnelli has authored 20 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 9 papers in Information Systems and Management. Recurrent topics in Iacopo Colonnelli's work include Scientific Computing and Data Management (9 papers), Distributed and Parallel Computing Systems (8 papers) and Cloud Computing and Resource Management (4 papers). Iacopo Colonnelli is often cited by papers focused on Scientific Computing and Data Management (9 papers), Distributed and Parallel Computing Systems (8 papers) and Cloud Computing and Resource Management (4 papers). Iacopo Colonnelli collaborates with scholars based in Italy, United States and Germany. Iacopo Colonnelli's co-authors include Marco Aldinucci, Barbara Cantalupo, Carlo Cavazzoni, Maurizio Drocco, Gianluca Mittone, Sergio Rabellino, Massimo Torquati, Ivan Merelli, Roberto Morelli and N. Magini and has published in prestigious journals such as PLoS ONE, Future Generation Computer Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Iacopo Colonnelli

15 papers receiving 72 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iacopo Colonnelli Italy 5 35 24 23 22 13 20 74
Barbara Cantalupo United States 5 39 1.1× 23 1.0× 20 0.9× 26 1.2× 9 0.7× 18 81
M. S. Neubauer United States 6 29 0.8× 12 0.5× 19 0.8× 15 0.7× 10 0.8× 22 82
J. Pivarski United States 6 30 0.9× 19 0.8× 19 0.8× 10 0.5× 4 0.3× 18 103
I. Vukotić United States 6 109 3.1× 33 1.4× 27 1.2× 14 0.6× 13 1.0× 26 127
Frank Wuerthwein United States 7 112 3.2× 51 2.1× 10 0.4× 40 1.8× 20 1.5× 24 142
N. A. Naumann Switzerland 6 51 1.5× 23 1.0× 23 1.0× 5 0.2× 16 1.2× 17 94
Gianluca Mittone Italy 3 13 0.4× 3 0.1× 16 0.7× 10 0.5× 8 0.6× 7 39
R. Walker United States 7 122 3.5× 67 2.8× 7 0.3× 19 0.9× 16 1.2× 22 151
M. Cattaneo Switzerland 5 99 2.8× 28 1.2× 8 0.3× 12 0.5× 23 1.8× 19 204
B. Couturier Switzerland 6 43 1.2× 33 1.4× 6 0.3× 21 1.0× 15 1.2× 28 92

Countries citing papers authored by Iacopo Colonnelli

Since Specialization
Citations

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

Fields of papers citing papers by Iacopo Colonnelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iacopo Colonnelli

This figure shows the co-authorship network connecting the top 25 collaborators of Iacopo Colonnelli. A scholar is included among the top collaborators of Iacopo Colonnelli 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 Iacopo Colonnelli. Iacopo Colonnelli 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.
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
2.
Sciacca, ‬‬‬‬‬‬Eva, et al.. (2025). The Cloud-HPC infrastructure for Hazard Mapping and vulnerability Monitoring (HaMMon). 309–316.
3.
Colonnelli, Iacopo, Krzysztof Kurowski, Niels Henrik Pontoppidan, et al.. (2025). Towards a European HPC/AI ecosystem: a community-driven report. Procedia Computer Science. 255. 140–149.
4.
Colonnelli, Iacopo, et al.. (2025). CAPIO-CL: The CAPIO Coordination Language. International Journal of Parallel Programming. 53(2). 2 indexed citations
5.
Sciacca, ‬‬‬‬‬‬Eva, Fabio Vitello, Iacopo Colonnelli, et al.. (2025). High Performance Visualization for Astrophysics and Cosmology. 443–450.
6.
Leo, Simone, Michael R. Crusoe, Raül Sirvent, et al.. (2024). Recording provenance of workflow runs with RO-Crate. PLoS ONE. 19(9). e0309210–e0309210. 8 indexed citations
7.
Colonnelli, Iacopo, et al.. (2024). A Performance Analysis for Confidential Federated Learning. 40–47. 1 indexed citations
8.
Colonnelli, Iacopo, Robert Birke, Gianluca Mittone, et al.. (2024). Cross-Facility Federated Learning. Procedia Computer Science. 240. 3–12. 2 indexed citations
9.
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
10.
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
11.
Arfat, Yasir, Gianluca Mittone, Iacopo Colonnelli, et al.. (2023). Pooling critical datasets with Federated Learning. 54. 329–337. 2 indexed citations
12.
Torquati, Massimo, et al.. (2023). CAPIO: a Middleware for Transparent I/O Streaming in Data- Intensive Workflows. CINECA IRIS Institutial research information system (University of Pisa). 153–163. 4 indexed citations
13.
Colonnelli, Iacopo, et al.. (2022). Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow. Methods in molecular biology. 2584. 337–345. 1 indexed citations
14.
Colonnelli, Iacopo & Marco Aldinucci. (2022). Hybrid Workflows For Large - Scale Scientific Applications. 1–5.
15.
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
16.
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
17.
Colonnelli, Iacopo, Marco Aldinucci, Barbara Cantalupo, et al.. (2021). Distributed workflows with Jupyter. Future Generation Computer Systems. 128. 282–298. 8 indexed citations
18.
Colonnelli, Iacopo, et al.. (2020). Practical Parallelization of Scientific Applications. Institutional Research Information System University of Turin (University of Turin). 376–384. 7 indexed citations
19.
Colonnelli, Iacopo, Barbara Cantalupo, Ivan Merelli, & Marco Aldinucci. (2020). StreamFlow: cross-breeding cloud with HPC. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
20.
Viviani, Paolo, et al.. (2019). Deep Learning at Scale. Institutional Research Information System University of Turin (University of Turin). 124–131. 3 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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