Alfonso Quarati
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Political Science and International Relations top 10%
- Co-authors
- Mónica De MartinoAndrea ClematisDaniele D’AgostinoAntonella GaliziaJuliana Elisa RaffaghelliAntonio ParodiEmanuele DanovaroRiccardo Albertoni
- Topics
- Distributed and Parallel Computing Systems (14 papers)Cloud Computing and Resource Management (8 papers)Scientific Computing and Data Management (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote SensingBioMed Research International
- Partner nations
- ItalyUnited KingdomBrazil
In The Last Decade
Alfonso Quarati
42 papers receiving 368 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 135
- Information Systems 134
- Artificial Intelligence 68
- Management Science and Operations Research 47
- Political Science and International Relations 43
Countries citing papers authored by Alfonso Quarati
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | ICT Driven Individual Learning: New Opportunities and Perspectives. | 12 |
| 19 | 3 | |
| 20 | A Computer-Based Model for Continuous Training in SMEs. | 2 |
About Alfonso Quarati
Alfonso Quarati is a scholar working on Computer Science Applications, Information Systems and Management and Computer Networks and Communications, having authored 43 papers that have together received 383 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Cloud Computing and Resource Management (8 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Information Systems (134 citations), Computer Networks and Communications (135 citations) and Information Systems and Management (40 citations). Alfonso Quarati has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Mónica De Martino, Andrea Clematis, Daniele D’Agostino, Antonella Galizia, Juliana Elisa Raffaghelli, Antonio Parodi, Emanuele Danovaro, Riccardo Albertoni, Daniele Cesini and Ivan Merelli. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing and BioMed Research International.
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.