Giovanni Stilo
Impact in
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- Online Learning and Analytics
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- Complex Network Analysis Techniques
Papers in
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- Advanced Text Analysis Techniques 8
- Topic Modeling 6
- Advanced Graph Neural Networks 5
- Explainable Artificial Intelligence (XAI) 4
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- Wikis in Education and Collaboration 6
- Co-authors
- Paola Velardi (26 shared papers)Stefano Faralli (12 shared papers)Francesco Gesualdo (3 shared papers)Alberto Eugenio Tozzi (4 shared papers)Damiano Distante (1 shared paper)Elisabetta Pandolfi (2 shared papers)Eleonora Agricola (1 shared paper)Michaela Veronika Gonfiantini (1 shared paper)
- Journals
- ACM SIGIR Forum (3 papers)Artificial Intelligence in Medicine (2 papers)ACM Computing Surveys (2 papers)PLoS ONE (2 papers)Computational Linguistics (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giovanni Stilo
44 papers receiving 479 citations
Peers
Comparison fields: 5 of 93
- Computer Science Applications 72
- Statistical and Nonlinear Physics 116
- Artificial Intelligence 201
- Communication 39
- Health Informatics 6
Countries citing papers authored by Giovanni Stilo
This map shows the geographic impact of Giovanni Stilo'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 Giovanni Stilo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Stilo more than expected).
Fields of papers citing papers by Giovanni Stilo
This network shows the impact of papers produced by Giovanni Stilo. 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 Giovanni Stilo. The network helps show where Giovanni Stilo may publish in the future.
Co-authors
The 25 scholars most cited alongside Giovanni Stilo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2014 | 58 | |
| 3 | 2015 | 54 | |
| 4 | 2013 | 53 | |
| 5 | 2015 | 28 | |
| 6 | 2014 | 24 | |
| 7 | Large scale homophily analysis in twitter using a twixonomy | 2015 | 19 |
| 8 | 2020 | 18 | |
| 9 | 2016 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 6 |
About Giovanni Stilo
Giovanni Stilo is a scholar working on Artificial Intelligence, Communication, Statistical and Nonlinear Physics, Molecular Biology and Information Systems, having authored 48 papers that have together received 497 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Advanced Text Analysis Techniques (8 papers), Data-Driven Disease Surveillance (6 papers), Topic Modeling (6 papers), Wikis in Education and Collaboration (6 papers), Advanced Graph Neural Networks (5 papers), Recommender Systems and Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). The work is most often cited by research in Computer Science Applications (72 citations), Statistical and Nonlinear Physics (116 citations), Artificial Intelligence (201 citations), Communication (39 citations) and Health Informatics (6 citations). Giovanni Stilo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Paola Velardi, Stefano Faralli, Francesco Gesualdo, Alberto Eugenio Tozzi, Damiano Distante, Elisabetta Pandolfi, Eleonora Agricola, Michaela Veronika Gonfiantini, Christian Morbidoni and Alessandro Cucchiarelli. Their work appears in journals such as ACM SIGIR Forum, Artificial Intelligence in Medicine, ACM Computing Surveys, PLoS ONE and Computational Linguistics.
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.