Fabio Fumarola
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- Donato MalerbaMichelangelo CeciAleksandra RashkovskaRoberto CorizzoTim WeningerRick BarberAnnalisa AppiceJiawei Han
- Topics
- Web Data Mining and Analysis (6 papers)Advanced Database Systems and Queries (4 papers)Data Management and Algorithms (4 papers)
- Journals
- Clinical Cancer ResearchIEEE Transactions on Industrial InformaticsKnowledge and Information Systems
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Fabio Fumarola
15 papers receiving 259 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 106
- Information Systems 94
- Electrical and Electronic Engineering 48
- Computer Networks and Communications 47
- Signal Processing 44
Countries citing papers authored by Fabio Fumarola
This map shows the geographic impact of Fabio Fumarola'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 Fumarola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Fumarola more than expected).
Fields of papers citing papers by Fabio Fumarola
This network shows the impact of papers produced by Fabio Fumarola. 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 Fumarola. The network helps show where Fabio Fumarola may publish in the future.
Co-authorship network of co-authors of Fabio Fumarola
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Fumarola. A scholar is included among the top collaborators of Fabio Fumarola 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 Fumarola. Fabio Fumarola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 60 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 54 | |
| 7 | 10 | |
| 8 | Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance | 8 |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 1 |
About Fabio Fumarola
Fabio Fumarola is a scholar working on Signal Processing, Information Systems and Management Science and Operations Research, having authored 16 papers that have together received 266 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Advanced Database Systems and Queries (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Information Systems (94 citations), Signal Processing (44 citations) and Artificial Intelligence (106 citations). Fabio Fumarola has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Donato Malerba, Michelangelo Ceci, Aleksandra Rashkovska, Roberto Corizzo, Tim Weninger, Rick Barber, Annalisa Appice, Jiawei Han, Jiawei Han and Antonio Giovanni Solimando. Their work appears in journals such as Clinical Cancer Research, IEEE Transactions on Industrial Informatics and Knowledge and Information 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.