Tania Cerquitelli
- Signal Processing top 5%
- Data Management and Algorithms 15
- Time Series Analysis and Forecasting 10
- Information Systems top 2%
- Data Mining Algorithms and Applications 34
- Artificial Intelligence top 2%
- Data Stream Mining Techniques 21
- Anomaly Detection Techniques and Applications 10
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- Rough Sets and Fuzzy Logic 14
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- Network Security and Intrusion Detection 9
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- Traffic Prediction and Management Techniques 9
Tania Cerquitelli
127 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 134
- Medical Laboratory Technology 35
- Signal Processing 189
- Information Systems 363
- Artificial Intelligence 502
- Industrial and Manufacturing Engineering 150
Countries citing papers authored by Tania Cerquitelli
This map shows the geographic impact of Tania Cerquitelli'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 Tania Cerquitelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Cerquitelli more than expected).
Fields of papers citing papers by Tania Cerquitelli
This network shows the impact of papers produced by Tania Cerquitelli. 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 Tania Cerquitelli. The network helps show where Tania Cerquitelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tania Cerquitelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 53 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 21 | |
| 13 | Enhancing the friendliness of data analytics tasks: an automated methodology | 2021 | 1 |
| 14 | 2021 | 6 | |
| 15 | 2020 | 34 | |
| 16 | 2020 | 15 | |
| 17 | Exploring energy performance certificates through visualization | 2019 | 6 |
| 18 | 2016 | 6 | |
| 19 | Enhancing energy awareness through the analysis of thermal energy consumption | 2015 | 9 |
| 20 | 2013 | 3 |
About Tania Cerquitelli
Tania Cerquitelli is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering and Building and Construction, having authored 135 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (34 papers), Data Stream Mining Techniques (21 papers), Data Management and Algorithms (15 papers), Rough Sets and Fuzzy Logic (14 papers), Anomaly Detection Techniques and Applications (10 papers), Time Series Analysis and Forecasting (10 papers), Network Security and Intrusion Detection (9 papers) and Traffic Prediction and Management Techniques (9 papers). The work is most often cited by research in Medical Laboratory Technology (35 citations), Signal Processing (189 citations), Information Systems (363 citations), Artificial Intelligence (502 citations) and Industrial and Manufacturing Engineering (150 citations). Tania Cerquitelli has collaborated with scholars based in Italy, France and Greece. Frequent co-authors include Elena Baralis, Daniele Apiletti, Silvia Chiusano, Paolo Garza, Luca Cagliero, Alfonso Capozzoli, Giulia Bruno, Imran Khan, Daniele Quercia and Stefano Paolo Corgnati. Their work appears in journals such as Electronics, Expert Systems with Applications, Information Sciences, Computer Networks 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.