Alfonso Quarati

702 total citations
43 papers, 383 citations indexed

About

Alfonso Quarati is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Alfonso Quarati has authored 43 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Alfonso Quarati's work include Distributed and Parallel Computing Systems (14 papers), Cloud Computing and Resource Management (8 papers) and Scientific Computing and Data Management (6 papers). Alfonso Quarati is often cited by papers focused on Distributed and Parallel Computing Systems (14 papers), Cloud Computing and Resource Management (8 papers) and Scientific Computing and Data Management (6 papers). Alfonso Quarati collaborates with scholars based in Italy, United Kingdom and Brazil. Alfonso Quarati's co-authors include Andrea Clematis, Mónica De Martino, Daniele D’Agostino, Antonella Galizia, Juliana Elisa Raffaghelli, Antonio Parodi, Emanuele Danovaro, Riccardo Albertoni, Daniele Cesini and Ivan Merelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and BioMed Research International.

In The Last Decade

Alfonso Quarati

42 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfonso Quarati Italy 13 135 134 68 47 43 43 383
Anand Padmanabhan United States 17 200 1.5× 142 1.1× 110 1.6× 20 0.4× 8 0.2× 48 977
Célia Ghedini Ralha Brazil 11 130 1.0× 205 1.5× 127 1.9× 31 0.7× 11 0.3× 79 487
Pedro R. Muro‐Medrano Spain 10 54 0.4× 83 0.6× 124 1.8× 22 0.5× 8 0.2× 40 315
Mark Hedges United Kingdom 13 108 0.8× 148 1.1× 97 1.4× 18 0.4× 4 0.1× 61 482
Jitka Komárková Czechia 10 77 0.6× 51 0.4× 38 0.6× 30 0.6× 61 1.4× 58 356
Su United States 10 132 1.0× 29 0.2× 79 1.2× 27 0.6× 8 0.2× 88 491
Tyng–Ruey Chuang Taiwan 11 93 0.7× 72 0.5× 94 1.4× 9 0.2× 5 0.1× 51 434
Carmelo Maria Torre Italy 14 40 0.3× 58 0.4× 59 0.9× 29 0.6× 9 0.2× 45 536
Chaitanya Baru United States 14 343 2.5× 135 1.0× 125 1.8× 30 0.6× 2 0.0× 48 571

Countries citing papers authored by Alfonso Quarati

Since Specialization
Citations

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

Fields of papers citing papers by Alfonso Quarati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfonso Quarati

This figure shows the co-authorship network connecting the top 25 collaborators of Alfonso Quarati. A scholar is included among the top collaborators of Alfonso Quarati 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 Alfonso Quarati. Alfonso Quarati 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.
Martino, Mónica De, et al.. (2025). Digital Transformation and Location Data Interoperability Skills for Small and Medium Enterprises. ISPRS International Journal of Geo-Information. 14(2). 51–51. 1 indexed citations
2.
Quarati, Alfonso & Riccardo Albertoni. (2024). Linked Open Government Data: Still a Viable Option for Sharing and Integrating Public Data?. Future Internet. 16(3). 99–99. 1 indexed citations
3.
Martino, Mónica De, et al.. (2024). An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data. Journal of Marine Science and Engineering. 12(11). 2055–2055. 1 indexed citations
4.
Martino, Mónica De, et al.. (2023). Deriving Coastal Shallow Bathymetry from Sentinel 2-, Aircraft- and UAV-Derived Orthophotos: A Case Study in Ligurian Marinas. Journal of Marine Science and Engineering. 11(3). 671–671. 10 indexed citations
5.
Demarte, Maurizio, et al.. (2023). Use of ICEsat-2 and Sentinel-2 Open Data for the Derivation of Bathymetry in Shallow Waters: Case Studies in Sardinia and in the Venice Lagoon. Remote Sensing. 15(11). 2944–2944. 10 indexed citations
6.
D’Agostino, Daniele, Alfonso Quarati, Andrea Clematis, et al.. (2019). SoC-based computing infrastructures for scientific applications and commercial services: Performance and economic evaluations. Future Generation Computer Systems. 96. 11–22. 11 indexed citations
7.
Albertoni, Riccardo, Mónica De Martino, & Alfonso Quarati. (2018). Documenting Context-Based Quality Assessment of Controlled Vocabularies. IEEE Transactions on Emerging Topics in Computing. 9(1). 144–160. 9 indexed citations
8.
Quarati, Alfonso, et al.. (2017). Integrating Heterogeneous Weather-Sensors Data into a Smart-City App. 11. 152–159. 8 indexed citations
9.
Martino, Mónica De, et al.. (2017). Open data practices: The case of South America drainage datasets. 1–6. 2 indexed citations
10.
Quarati, Alfonso, et al.. (2015). Lightweight ICT Approaches to Hydro-Meteorological Data Issues. 11. 759–763. 1 indexed citations
11.
Danovaro, Emanuele, et al.. (2014). Heterogeneous architectures for computational intensive applications: A cost-effectiveness analysis. Journal of Computational and Applied Mathematics. 270. 63–77. 15 indexed citations
12.
Quarati, Alfonso, Emanuele Danovaro, Antonella Galizia, et al.. (2014). Scheduling strategies for enabling meteorological simulation on hybrid clouds. Journal of Computational and Applied Mathematics. 273. 438–451. 16 indexed citations
13.
Danovaro, Emanuele, Antonella Galizia, Daniele D’Agostino, et al.. (2014). Setting Up an Hydro-Meteo Experiment in Minutes: The DRIHM e-Infrastructure for HM Research. 47–54. 15 indexed citations
14.
Schiffers, Michael, Dieter Kranzlmüller, Andrea Clematis, et al.. (2011). Towards A Grid Infrastructure For Hydro-Meteorological Research. SHILAP Revista de lepidopterología. 5 indexed citations
15.
Clematis, Andrea, Daniele D’Agostino, Alfonso Quarati, et al.. (2008). A Distributed Approach for Structured Resource Discovery on Grid. IRIS eCampus Telematic University (Università degli Studi eCampus). 3428. 117–125. 3 indexed citations
16.
Moretti, Stefano, et al.. (2001). An approach to the development of re-usable and adaptive web based courses.. WebNet. 12(7). 1043–1048. 1 indexed citations
17.
Clematis, Andrea, Angelo Corana, Daniele D’Agostino, Antonella Galizia, & Alfonso Quarati. (2001). Matching Jobs with Resources: an application-driven approach. Scalable Computing Practice and Experience. 11(2). 109–120. 1 indexed citations
18.
Quarati, Alfonso, et al.. (2000). ICT Driven Individual Learning: New Opportunities and Perspectives.. Educational Technology & Society. 3. 12 indexed citations
19.
Quarati, Alfonso, et al.. (2000). Teleconferencing tools in enterprises—constraints and opportunities. British Journal of Educational Technology. 31(2). 127–134. 3 indexed citations
20.
Quarati, Alfonso, et al.. (1998). A Computer-Based Model for Continuous Training in SMEs.. 313–322. 2 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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