Alessandro Margara

2.5k total citations · 1 hit paper
64 papers, 1.4k citations indexed

About

Alessandro Margara is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Alessandro Margara has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 19 papers in Signal Processing and 18 papers in Information Systems. Recurrent topics in Alessandro Margara's work include Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (17 papers) and Distributed systems and fault tolerance (16 papers). Alessandro Margara is often cited by papers focused on Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (17 papers) and Distributed systems and fault tolerance (16 papers). Alessandro Margara collaborates with scholars based in Italy, Germany and Switzerland. Alessandro Margara's co-authors include Gianpaolo Cugola, Guido Salvaneschi, Giordano Tamburrelli, Jacopo Urbani, Henri E. Bal, Mauro Pezzè, Frank van Harmelen, Matteo Matteucci, Emanuele Della Valle and Matteo Migliavacca and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Review of Scientific Instruments.

In The Last Decade

Alessandro Margara

57 papers receiving 1.3k citations

Hit Papers

Processing flows of information 2012 2026 2016 2021 2012 100 200 300 400
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.

  1. Processing flows of information
    2012 495 citations Gianpaolo Cugola, Alessandro Margara profile →

Peers

Alessandro Margara
R. G. G. Cattell United States
Kostas Tzoumas Germany
Kai-Uwe Sattler Germany
Asterios Katsifodimos Netherlands
Massimiliano Rak Italy
Khaled M. Khan Qatar
Nur Izura Udzir Malaysia
Steve Versteeg Australia
Xiaohui Gu United States
Archana Ganapathi United States
R. G. G. Cattell United States
Alessandro Margara
Citations per year, relative to Alessandro Margara Alessandro Margara (= 1×) peers R. G. G. Cattell

Countries citing papers authored by Alessandro Margara

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Margara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Margara

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Margara. A scholar is included among the top collaborators of Alessandro Margara 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 Alessandro Margara. Alessandro Margara 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.
Margara, Alessandro, et al.. (2024). Safe Shared State in Dataflow Systems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 30–41.
2.
Margara, Alessandro, et al.. (2024). The DEBS 2024 Grand Challenge: Telemetry Data for Hard Drive Failure Prediction. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 223–228. 2 indexed citations
3.
Gulisano, Vincenzo, Marina Papatriantafilou, & Alessandro Margara. (2024). On the Semantic Overlap of Operators in Stream Processing Engines. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 8–21.
4.
Margara, Alessandro, et al.. (2023). Nubes. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 30–35.
5.
Barbierato, Luca, et al.. (2022). COMET: Co-simulation of Multi-Energy Systems for Energy Transition. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). 1343–1348. 3 indexed citations
6.
Margara, Alessandro, et al.. (2022). Deriving a realistic workload model to simulate high-volume financial data feeds for performance benchmarking. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 126–131. 2 indexed citations
7.
Artikis, Alexander, Thomas Eiter, Alessandro Margara, & Stijn Vansummeren. (2020). Foundations of Composite Event Recognition (Dagstuhl Seminar 20071). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
8.
Margara, Alessandro & Guido Salvaneschi. (2017). Consistency Types for Safe and Efficient Distributed Programming. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–2. 4 indexed citations
9.
Denaro, Giovanni, et al.. (2015). Dynamic data flow testing of object oriented systems. International Conference on Software Engineering. 1. 947–958. 13 indexed citations
10.
Margara, Alessandro, et al.. (2015). Towards an engineering methodology for multi-model scientific simulations. IEEE International Conference on High Performance Computing, Data, and Analytics. 51–55. 1 indexed citations
11.
Cugola, Gianpaolo, Alessandro Margara, Mauro Pezzè, & Matteo Pradella. (2015). Efficient analysis of event processing applications. BOA (University of Milano-Bicocca). 10–21. 15 indexed citations
12.
Salvaneschi, Guido, Alessandro Margara, & Giordano Tamburrelli. (2015). Reactive Programming: A Walkthrough. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. 953–954. 13 indexed citations
13.
Margara, Alessandro, et al.. (2015). Towards an Engineering Methodology for Multi-model Scientific Simulations. BOA (University of Milano-Bicocca). 51–55. 1 indexed citations
14.
Margara, Alessandro, Jacopo Urbani, Frank van Harmelen, & Henri E. Bal. (2014). Streaming the Web: Reasoning Over Dynamic Data. SSRN Electronic Journal. 13 indexed citations
15.
Margara, Alessandro & Guido Salvaneschi. (2013). Ways to React: Comparing Reactive Languages and Complex Event Processing. 7 indexed citations
16.
Alli, Giovanni, Luciano Baresi, Gianpaolo Cugola, et al.. (2012). Green Move: Towards next generation sustainable smartphone-based vehicle sharing. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 13 indexed citations
17.
Cugola, Gianpaolo & Alessandro Margara. (2011). Low latency complex event processing on parallel hardware. Journal of Parallel and Distributed Computing. 72(2). 205–218. 41 indexed citations
18.
Margara, Alessandro & Gianpaolo Cugola. (2011). High performance content-based matching using GPUs. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 183–194. 17 indexed citations
19.
Cugola, Gianpaolo & Alessandro Margara. (2010). TESLA. 50–61. 107 indexed citations
20.
Margara, Alessandro. (1997). Ancora sulla pena e la sua esecuzione: le parole e le cose e le pietose bugie.

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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