Danilo Ardagna

5.1k total citations · 1 hit paper
140 papers, 3.1k citations indexed

About

Danilo Ardagna is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Danilo Ardagna has authored 140 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computer Networks and Communications, 104 papers in Information Systems and 30 papers in Artificial Intelligence. Recurrent topics in Danilo Ardagna's work include Cloud Computing and Resource Management (83 papers), Software System Performance and Reliability (46 papers) and IoT and Edge/Fog Computing (38 papers). Danilo Ardagna is often cited by papers focused on Cloud Computing and Resource Management (83 papers), Software System Performance and Reliability (46 papers) and IoT and Edge/Fog Computing (38 papers). Danilo Ardagna collaborates with scholars based in Italy, United States and Iran. Danilo Ardagna's co-authors include Barbara Pernici, Barbara Panicucci, Li Zhang, Mauro Passacantando, Marco Trubian, Michele Ciavotta, Chiara Francalanci, Giuliano Casale, Juan F. Pérez and Weikun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Danilo Ardagna

134 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

Adaptive Service Composition in Flexible Processes

2007 604 citations Danilo Ardagna, Barbara Pernici profile →

Peers

Countries citing papers authored by Danilo Ardagna

Since Specialization

Citations

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

Fields of papers citing papers by Danilo Ardagna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Ardagna

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A Robust Game Approach for On Spot Price Cloud Markets in Microservice-Based Applications 2025 ·IEEE Access ·(unknown), Mauro Passacantando, Riccardo Lancellotti, (unknown), Danilo Ardagna	0
2	Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems 2024 ·IEEE Transactions on Cloud Computing ·(unknown), Danilo Ardagna, Alessandra Guglielmi, (unknown), Gianluca Palermo	4
3	OSCAR-P and aMLLibrary: Profiling and predicting the performance of FaaS-based applications in computing continua 2024 ·Journal of Systems and Software ·(unknown), (unknown), (unknown), (unknown), (unknown), Danilo Ardagna, (unknown), Germán Moltó, Miguel Caballer	1
4	OSCAR-P and aMLLibrary 2023 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·(unknown), (unknown), (unknown), (unknown), Danilo Ardagna, Germán Moltó, Miguel Caballer	4
5	Runtime Management of Artificial Intelligence Applications for Smart Eyewears 2023 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·(unknown), (unknown), (unknown), Giacomo Verticale, Danilo Ardagna	3
6	Performance prediction of deep learning applications training in GPU as a service systems 2022 ·Cluster Computing ·Marco Lattuada, (unknown), Danilo Ardagna, Li Zhang	16
7	ANDREAS: Artificial intelligence traiNing scheDuler for accElerAted resource clusterS 2021 ·BOA (University of Milano-Bicocca) ·(unknown), Danilo Ardagna, Marco Lattuada, E. Amaldi, (unknown), (unknown), (unknown), Michele Ciavotta, (unknown), (unknown)	7
8	Fixed-Point Iteration Approach to Spark Scalable Performance Modeling and Evaluation 2021 ·IEEE Transactions on Cloud Computing ·(unknown), (unknown), Reza Entezari‐Maleki, Danilo Ardagna, Bernhard Egger, Ali Movaghar	3
9	Optimal Resource Allocation of Cloud-Based Spark Applications 2020 ·IEEE Transactions on Cloud Computing ·Marco Lattuada, Enrico Barbierato, (unknown), Danilo Ardagna	11
10	Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach 2020 ·IEEE Transactions on Cloud Computing ·Michele Ciavotta, (unknown), Danilo Ardagna, Elisabetta Di Nitto, Marco Lattuada, (unknown)	9
11	Context-aware data quality assessment for big data 2018 ·Future Generation Computer Systems ·Danilo Ardagna, Cinzia Cappiello, (unknown), Monica Vitali	70
12	A Hierarchical Receding Horizon Algorithm for QoS-Driven Control of Multi-IaaS Applications 2018 ·IEEE Transactions on Cloud Computing ·Danilo Ardagna, Michele Ciavotta, Riccardo Lancellotti, Michele Guerriero	13
13	A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster 2018 ·Journal of Parallel and Distributed Computing ·(unknown), Giuliana Carello, Danilo Ardagna	4
14	Power-aware performance analysis of self-adaptive resource management in IaaS clouds 2018 ·Future Generation Computer Systems ·(unknown), (unknown), (unknown), Bernhard Egger, Danilo Ardagna, Ali Movaghar	15
15	Hierarchical Stochastic Models for Performance, Availability, and Power Consumption Analysis of IaaS Clouds 2017 ·IEEE Transactions on Cloud Computing ·(unknown), Reza Entezari‐Maleki, (unknown), Kishor S. Trivedi, Danilo Ardagna, Ali Movaghar	41
16	A mixed integer linear programming optimization approach for multi-cloud capacity allocation 2016 ·Journal of Systems and Software ·Michele Ciavotta, Danilo Ardagna, (unknown)	15
17	Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems 2015 ·IEEE Transactions on Services Computing ·Danilo Ardagna, Michele Ciavotta, Mauro Passacantando	61
18	Model based control for multi-cloud applications 2013 ·INFM-OAR (INFN Catania) ·(unknown), (unknown), Danilo Ardagna, Elisabetta Di Nitto	15
19	Model Identification for Energy-aware Management of Web Service Systems 2008 ·Mara Tanelli, Danilo Ardagna, Marco Lovera, Liang‐Jie Zhang	2
20	Global and Local QoS Guarantee in Web Service Selection 2005 ·Virtual Community of Pathological Anatomy (University of Castilla La Mancha) ·Danilo Ardagna, Barbara Pernici	3

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.

Explore authors with similar magnitude of impact