Francesco Spadini
- Hardware and Architecture top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Srilatha ManneRavi BhargavaSalvatore Di SommaGianfranco CervellinBryan V. DieffenbachGiuseppe LippiAlan S. MaiselMichael Fertig
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Advanced Data Storage Technologies (5 papers)Cloud Computing and Resource Management (4 papers)
- Journals
- Journal of Food Science and TechnologyClinical Chemistry and Laboratory Medicine (CCLM)ACM SIGPLAN Notices
- Partner nations
- United StatesItalyCanada
In The Last Decade
Francesco Spadini
9 papers receiving 302 citations
Peers
Comparison fields: 5 of 33
- Hardware and Architecture 228
- Computer Networks and Communications 210
- Information Systems 155
- Artificial Intelligence 45
- Electrical and Electronic Engineering 42
Countries citing papers authored by Francesco Spadini
This map shows the geographic impact of Francesco Spadini'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 Francesco Spadini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Spadini more than expected).
Fields of papers citing papers by Francesco Spadini
This network shows the impact of papers produced by Francesco Spadini. 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 Francesco Spadini. The network helps show where Francesco Spadini may publish in the future.
Co-authorship network of co-authors of Francesco Spadini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Spadini. A scholar is included among the top collaborators of Francesco Spadini 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 Francesco Spadini. Francesco Spadini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 7 | |
| 3 | 202 | |
| 4 | 20 | |
| 5 | 2 | |
| 6 | The Performance Potential of Trace-based Dynamic Optimization | 2 |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 7 |
About Francesco Spadini
Francesco Spadini is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 9 papers that have together received 313 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Hardware and Architecture (228 citations), Computer Networks and Communications (210 citations) and Information Systems (155 citations). Francesco Spadini has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Srilatha Manne, Ravi Bhargava, Salvatore Di Somma, Gianfranco Cervellin, Bryan V. Dieffenbach, Giuseppe Lippi, Alan S. Maisel, Michael Fertig, S.J. Patel and S.S. Lumetta. Their work appears in journals such as Journal of Food Science and Technology, Clinical Chemistry and Laboratory Medicine (CCLM) and ACM SIGPLAN Notices.
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.