Fabio Petroni
- Artificial Intelligence top 0.5%
- Sociology and Political Science top 1%
- Information Systems top 1%
- Communication top 1%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Sebastian RiedelAntonio ScalaGuido CaldarelliAlessandro BessiMichela Del VicarioFabiana ZolloWalter QuattrociocchiH. Eugene Stanley
- Topics
- Topic Modeling (18 papers)Natural Language Processing Techniques (12 papers)Multimodal Machine Learning Applications (5 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaFuture Generation Computer Systems
- Partner nations
- ItalyIsraelUnited Kingdom
In The Last Decade
Fabio Petroni
31 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 1.9k
- Sociology and Political Science 1.1k
- Information Systems 523
- Communication 522
- Computer Vision and Pattern Recognition 521
Countries citing papers authored by Fabio Petroni
This map shows the geographic impact of Fabio Petroni'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 Fabio Petroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Petroni more than expected).
Fields of papers citing papers by Fabio Petroni
This network shows the impact of papers produced by Fabio Petroni. 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 Fabio Petroni. The network helps show where Fabio Petroni may publish in the future.
Co-authorship network of co-authors of Fabio Petroni
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Petroni. A scholar is included among the top collaborators of Fabio Petroni 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 Fabio Petroni. Fabio Petroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Lost in the Middle: How Language Models Use Long Contextsbreakdown → | 285 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 84 | |
| 5 | 25 | |
| 6 | 6 | |
| 7 | 24 | |
| 8 | 174 | |
| 9 | How Context Affects Language Models' Factual Predictions | 16 |
| 10 | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | 2 |
| 11 | 21 | |
| 12 | Language Models as Knowledge Bases?breakdown → | 1022 |
| 13 | 11 | |
| 14 | 13 | |
| 15 | The spreading of misinformation onlinebreakdown → | 1294 |
| 16 | 3 | |
| 17 | 76 | |
| 18 | 16 | |
| 19 | 19 | |
| 20 | 36 |
About Fabio Petroni
Fabio Petroni is a scholar working on Artificial Intelligence, Developmental Biology and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 3.4k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Communication (522 citations), Artificial Intelligence (1.9k citations) and Statistical and Nonlinear Physics (469 citations). Fabio Petroni has collaborated with scholars based in Italy, Israel and United Kingdom. Frequent co-authors include Sebastian Riedel, Antonio Scala, Guido Caldarelli, Alessandro Bessi, Michela Del Vicario, Fabiana Zollo, Walter Quattrociocchi, H. Eugene Stanley, Tim Rocktäschel and Patrick Lewis. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Future Generation Computer 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.