Donatello Elia

453 total citations
21 papers, 138 citations indexed

About

Donatello Elia is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Donatello Elia has authored 21 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems and Management, 11 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Donatello Elia's work include Scientific Computing and Data Management (15 papers), Distributed and Parallel Computing Systems (10 papers) and Research Data Management Practices (9 papers). Donatello Elia is often cited by papers focused on Scientific Computing and Data Management (15 papers), Distributed and Parallel Computing Systems (10 papers) and Research Data Management Practices (9 papers). Donatello Elia collaborates with scholars based in Italy, Spain and United States. Donatello Elia's co-authors include Sandro Fiore, Giovanni Aloisio, D. N. Williams, Ian Foster, Ignácio Blanquer, Regina Moraes, Cinzia Cappiello, Monica Vitali, Daniele Lezzi and Keiko V. O. Fonseca and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Donatello Elia

20 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donatello Elia Italy 8 55 52 51 27 25 21 138
Lorenzo Bigagli Italy 10 63 1.1× 51 1.0× 71 1.4× 12 0.4× 84 3.4× 34 235
Anders Friis‐Christensen Denmark 8 29 0.5× 65 1.3× 78 1.5× 25 0.9× 62 2.5× 14 210
Charles E. Catlett United States 6 32 0.6× 54 1.0× 172 3.4× 7 0.3× 19 0.8× 11 272
Charles Loomis France 11 66 1.2× 87 1.7× 142 2.8× 7 0.3× 40 1.6× 21 271
Lorenzino Vaccari Italy 7 22 0.4× 102 2.0× 31 0.6× 8 0.3× 83 3.3× 21 200
José R. R. Viqueira Spain 8 8 0.1× 40 0.8× 59 1.2× 12 0.4× 59 2.4× 31 184
Beenu Mago United Arab Emirates 7 7 0.1× 40 0.8× 32 0.6× 8 0.3× 35 1.4× 23 154
Jérôme Gensel France 10 8 0.1× 49 0.9× 54 1.1× 8 0.3× 71 2.8× 44 246
Jinyun Fang China 8 8 0.1× 87 1.7× 108 2.1× 18 0.7× 30 1.2× 38 235
Rolf de By Netherlands 6 12 0.2× 59 1.1× 35 0.7× 9 0.3× 57 2.3× 10 138

Countries citing papers authored by Donatello Elia

Since Specialization
Citations

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

Fields of papers citing papers by Donatello Elia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatello Elia

This figure shows the co-authorship network connecting the top 25 collaborators of Donatello Elia. A scholar is included among the top collaborators of Donatello Elia 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 Donatello Elia. Donatello Elia 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.
Eyring, Veronika, et al.. (2025). Transferring climate change physical knowledge. Proceedings of the National Academy of Sciences. 122(15). e2413503122–e2413503122. 2 indexed citations
2.
Elia, Donatello, et al.. (2025). Improving oil slick trajectory simulations with Bayesian optimization. Ecological Informatics. 91. 103368–103368. 1 indexed citations
3.
Rocca, Giuseppe La, et al.. (2024). Scientific Data Spaces - Experiences from the EGI-ACE project. SHILAP Revista de lepidopterología. 4. 136–136.
4.
Elia, Donatello, et al.. (2023). PyOphidia: A Python library for High Performance Data Analytics at scale. SoftwareX. 24. 101538–101538. 1 indexed citations
5.
Elia, Donatello, et al.. (2023). An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data. Earth and Space Science. 10(11). 6 indexed citations
6.
Fiore, Sandro, et al.. (2023). A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows. Institutional Research Information System (Università degli Studi di Trento). 3332–3339. 2 indexed citations
7.
Elia, Donatello, et al.. (2023). A Data Space for Climate Science in the European Open Science Cloud. Computing in Science & Engineering. 25(1). 7–15. 7 indexed citations
8.
Elia, Donatello, et al.. (2023). End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning. QRU Quaderns de Recerca en Urbanisme. 2042–2052. 1 indexed citations
9.
Elia, Donatello, Sandro Fiore, & Giovanni Aloisio. (2021). Towards HPC and Big Data Analytics Convergence: Design and Experimental Evaluation of a HPDA Framework for eScience at Scale. IEEE Access. 9. 73307–73326. 11 indexed citations
10.
Fiore, Sandro, Donatello Elia, Carlos Eduardo Santos Pires, et al.. (2019). An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management. IEEE Access. 7. 117652–117677. 39 indexed citations
11.
Fiore, Sandro, et al.. (2018). Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale. Iris (University of Trento). 41. 3226–3234. 6 indexed citations
12.
Moraes, Regina, et al.. (2018). A Re-Identification Risk-Based Anonymization Framework for Data Analytics Platforms. Institutional Research Information System (Università degli Studi di Trento). 101–106. 7 indexed citations
13.
Elia, Donatello, et al.. (2017). On the Use of In-memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets. Science and Technology Facilities Council. 1035–1043. 2 indexed citations
14.
Fiore, Sandro, Donatello Elia, C. Knapic, et al.. (2017). Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project. Institutional Research Information System (Università degli Studi di Trento). 343–348. 9 indexed citations
15.
Fiore, Sandro, Donatello Elia, Ignácio Blanquer, et al.. (2017). BioClimate: A Science Gateway for Climate Change and Biodiversity research in the EUBrazilCloudConnect project. Future Generation Computer Systems. 94. 895–909. 6 indexed citations
16.
Elia, Donatello, Sandro Fiore, Ignácio Blanquer, et al.. (2017). A Science gateway for biodiversity and climate change research. UvA-DARE (University of Amsterdam). 1 indexed citations
17.
Elia, Donatello, et al.. (2016). An in-memory based framework for scientific data analytics. Iris (University of Trento). 424–429. 10 indexed citations
18.
Fiore, Sandro, et al.. (2015). Big data analytics for climate change and biodiversity in the EUBrazilCC federated cloud infrastructure. UvA-DARE (University of Amsterdam). 1–8. 5 indexed citations
19.
Fiore, Sandro, et al.. (2015). A workflow-enabled big data analytics software stack for escience. Institutional Research Information System (Università degli Studi di Trento). 2970. 545–552. 10 indexed citations
20.
Fiore, Sandro, et al.. (2014). Ophidia: A full software stack for scientific data analytics. Institutional Research Information System (Università degli Studi di Trento). 343–350. 11 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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