Alessandro Zangari
- Artificial Intelligence top 10%
- Plant Science
- Information Systems top 10%
- Analytical Chemistry top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Andrea GasparettoAndrea AlbarelliMatteo MarcuzzoMatteo RizzoMohammad Taher PilehvarClaudio LuccheseMarco S. NobileJosé Camacho-Collados
- Topics
- Text and Document Classification Technologies (4 papers)Topic Modeling (4 papers)Sentiment Analysis and Opinion Mining (2 papers)
In The Last Decade
Alessandro Zangari
6 papers receiving 235 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 113
- Plant Science 57
- Information Systems 46
- Analytical Chemistry 38
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Alessandro Zangari
This map shows the geographic impact of Alessandro Zangari'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 Zangari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Zangari more than expected).
Fields of papers citing papers by Alessandro Zangari
This network shows the impact of papers produced by Alessandro Zangari. 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 Zangari. The network helps show where Alessandro Zangari may publish in the future.
Co-authorship network of co-authors of Alessandro Zangari
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Zangari. A scholar is included among the top collaborators of Alessandro Zangari 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 Zangari. Alessandro Zangari 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 | 0 | |
| 3 | 7 | |
| 4 | Fruit ripeness classification: A surveybreakdown → | 82 |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 21 | |
| 8 | 122 |
About Alessandro Zangari
Alessandro Zangari is a scholar working on Artificial Intelligence, Analytical Chemistry and Information Systems, having authored 8 papers that have together received 250 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (4 papers), Topic Modeling (4 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Analytical Chemistry (38 citations), Artificial Intelligence (113 citations) and Health Informatics (3 citations). Alessandro Zangari has collaborated with scholars based in Italy and Canada. Frequent co-authors include Andrea Gasparetto, Andrea Albarelli, Matteo Marcuzzo, Matteo Rizzo, Mohammad Taher Pilehvar, Claudio Lucchese, Marco S. Nobile, José Camacho-Collados and Cristina Conati. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.