Fiammetta Marulli
Impact in
-
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Health Informatics top 10%
Papers in
-
- Privacy-Preserving Technologies in Data 8
- Adversarial Robustness in Machine Learning 7
- Anomaly Detection Techniques and Applications 6
- Topic Modeling 5
- Semantic Web and Ontologies 4
- Co-authors
- Francesco Piccialli (7 shared papers)Lelio Campanile (19 shared papers)Angelo Chianese (6 shared papers)Michele Mastroianni (10 shared papers)Mauro Iacono (9 shared papers)Francesco Mercaldo (4 shared papers)Fabio Martinelli (3 shared papers)Marco Gribaudo (2 shared papers)
- Journals
- Electronics (3 papers)Future Generation Computer Systems (2 papers)Knowledge-Based Systems (1 paper)Research in Microbiology (1 paper)Journal of Sensor and Actuator Networks (1 paper)
- Partner nations
- ItalySwitzerlandSpain
In The Last Decade
Fiammetta Marulli
44 papers receiving 647 citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 232
- Health Informatics 13
- Signal Processing 100
- Information Systems 196
- Artificial Intelligence 214
Countries citing papers authored by Fiammetta Marulli
This map shows the geographic impact of Fiammetta Marulli'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 Fiammetta Marulli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiammetta Marulli more than expected).
Fields of papers citing papers by Fiammetta Marulli
This network shows the impact of papers produced by Fiammetta Marulli. 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 Fiammetta Marulli. The network helps show where Fiammetta Marulli may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiammetta Marulli, 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 | 91 | |
| 2 | 2017 | 69 | |
| 3 | 2021 | 57 | |
| 4 | 2016 | 53 | |
| 5 | 2013 | 43 | |
| 6 | 2018 | 42 | |
| 7 | 2015 | 34 | |
| 8 | 2013 | 34 | |
| 9 | 2016 | 27 | |
| 10 | 2021 | 20 | |
| 11 | 2013 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 14 | |
| 14 | Adversarial deep learning for energy management in buildings | 2019 | 14 |
| 15 | 2020 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 1996 | 10 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 8 |
About Fiammetta Marulli
Fiammetta Marulli is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 48 papers that have together received 673 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Adversarial Robustness in Machine Learning (7 papers), Anomaly Detection Techniques and Applications (6 papers), Topic Modeling (5 papers), Smart Grid Security and Resilience (4 papers), Semantic Web and Ontologies (4 papers), Digital Marketing and Social Media (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (232 citations), Health Informatics (13 citations), Signal Processing (100 citations), Information Systems (196 citations) and Artificial Intelligence (214 citations). Fiammetta Marulli has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Francesco Piccialli, Lelio Campanile, Angelo Chianese, Michele Mastroianni, Mauro Iacono, Francesco Mercaldo, Fabio Martinelli, Marco Gribaudo, Vincenzo Moscato and S. Marrone. Their work appears in journals such as Electronics, Future Generation Computer Systems, Knowledge-Based Systems, Research in Microbiology and Journal of Sensor and Actuator Networks.
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.