Alessandro Renda
- Artificial Intelligence top 5%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Francesco MarcelloniAlessio BechiniPietro DucangeEleonora D’AndreaGiovanni SteaAntonio VirdisGiovanni NardiniDario Sabella
- Topics
- Explainable Artificial Intelligence (XAI) (10 papers)Privacy-Preserving Technologies in Data (10 papers)Data Stream Mining Techniques (4 papers)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Alessandro Renda
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 232
- Sociology and Political Science 54
- Computer Vision and Pattern Recognition 50
- Information Systems 48
- Electrical and Electronic Engineering 45
Countries citing papers authored by Alessandro Renda
This map shows the geographic impact of Alessandro Renda'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 Renda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Renda more than expected).
Fields of papers citing papers by Alessandro Renda
This network shows the impact of papers produced by Alessandro Renda. 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 Renda. The network helps show where Alessandro Renda may publish in the future.
Co-authorship network of co-authors of Alessandro Renda
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Renda. A scholar is included among the top collaborators of Alessandro Renda 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 Renda. Alessandro Renda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 24 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 52 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 18 | |
| 16 | 19 | |
| 17 | 38 | |
| 18 | 12 | |
| 19 | 42 | |
| 20 | 111 |
About Alessandro Renda
Alessandro Renda is a scholar working on Health Informatics, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (10 papers), Privacy-Preserving Technologies in Data (10 papers) and Data Stream Mining Techniques (4 papers). The work is most often cited by research in Health Informatics (20 citations), Artificial Intelligence (232 citations) and Statistical and Nonlinear Physics (40 citations). Alessandro Renda has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Francesco Marcelloni, Alessio Bechini, Pietro Ducange, Eleonora D’Andrea, Giovanni Stea, Antonio Virdis, Giovanni Nardini, Dario Sabella, F. Ruffini and Leonardo Gomes Baltar. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Fuzzy Systems.
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.