Tania Cerquitelli

2.3k total citations
135 papers, 1.5k citations indexed

About

Tania Cerquitelli is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Tania Cerquitelli has authored 135 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 41 papers in Information Systems and 25 papers in Signal Processing. Recurrent topics in Tania Cerquitelli's work include Data Mining Algorithms and Applications (34 papers), Data Stream Mining Techniques (21 papers) and Data Management and Algorithms (15 papers). Tania Cerquitelli is often cited by papers focused on Data Mining Algorithms and Applications (34 papers), Data Stream Mining Techniques (21 papers) and Data Management and Algorithms (15 papers). Tania Cerquitelli collaborates with scholars based in Italy, France and Greece. Tania Cerquitelli's co-authors include Elena Baralis, Daniele Apiletti, Silvia Chiusano, Paolo Garza, Luca Cagliero, Alfonso Capozzoli, Giulia Bruno, Imran Khan, Stefano Paolo Corgnati and Daniele Quercia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Expert Systems with Applications.

In The Last Decade

Tania Cerquitelli

127 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tania Cerquitelli Italy 22 502 363 250 195 189 135 1.5k
Asma Belhadi Norway 24 783 1.6× 460 1.3× 346 1.4× 247 1.3× 254 1.3× 76 1.5k
Abdelaziz Bouras Qatar 21 724 1.4× 444 1.2× 269 1.1× 97 0.5× 166 0.9× 111 2.2k
Amit K. Shukla India 20 671 1.3× 521 1.4× 613 2.5× 87 0.4× 157 0.8× 51 2.0k
Aderemi O. Adewumi South Africa 21 834 1.7× 285 0.8× 222 0.9× 133 0.7× 259 1.4× 82 2.7k
Sadok Ben Yahia Tunisia 19 612 1.2× 618 1.7× 336 1.3× 107 0.5× 238 1.3× 188 1.6k
Pranab K. Muhuri India 24 735 1.5× 218 0.6× 221 0.9× 101 0.5× 74 0.4× 114 2.3k
Jianye Hao China 27 1.0k 2.0× 317 0.9× 382 1.5× 86 0.4× 124 0.7× 184 2.7k
Alberto Cano United States 30 1.7k 3.5× 448 1.2× 326 1.3× 118 0.6× 277 1.5× 93 2.6k
Pietro Ducange Italy 25 1.4k 2.7× 287 0.8× 176 0.7× 151 0.8× 103 0.5× 97 2.1k
Ahmed Alsanad Saudi Arabia 25 572 1.1× 406 1.1× 539 2.2× 82 0.4× 218 1.2× 66 1.7k

Countries citing papers authored by Tania Cerquitelli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tania Cerquitelli

This figure shows the co-authorship network connecting the top 25 collaborators of Tania Cerquitelli. A scholar is included among the top collaborators of Tania Cerquitelli 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 Tania Cerquitelli. Tania Cerquitelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sacco, Alessio, et al.. (2025). Real-time latency prediction for cloud gaming applications. Computer Networks. 264. 111235–111235. 1 indexed citations
2.
Cagliero, Luca, et al.. (2025). Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications. ACM Transactions on Intelligent Systems and Technology. 16(4). 1–24.
3.
Bellini, Alessandro, et al.. (2025). Investigating the Potential of Latent Space for the Classification of Paint Defects. Journal of Imaging. 11(2). 33–33.
4.
Ciravegna, Gabriele, et al.. (2025). Concept-based Explainable Artificial Intelligence: A Survey. ACM Computing Surveys.
5.
Ciravegna, Gabriele, Mateo Espinosa Zarlenga, Pietro Barbiero, et al.. (2024). Workshop on Human-Interpretable AI. CINECA IRIS Institutial research information system (University of Pisa). 6708–6709. 1 indexed citations
6.
Cerquitelli, Tania, et al.. (2024). Edge-device collaborative computing for multi-view classification. Computer Networks. 254. 110823–110823. 3 indexed citations
7.
Apiletti, Daniele, et al.. (2023). Explaining deep convolutional models by measuring the influence of interpretable features in image classification. Data Mining and Knowledge Discovery. 38(5). 3169–3226. 3 indexed citations
8.
Cerquitelli, Tania, Michela Meo, Marília Curado, Lea Skorin‐Kapov, & Eirini Eleni Tsiropoulou. (2023). Machine learning empowered computer networks. Computer Networks. 230. 109807–109807. 53 indexed citations
9.
Colombelli, Alessandra, et al.. (2022). Physical and mental health of university staff during the Covid-19 pandemic. 2022 IEEE International Conference on Big Data (Big Data). 28. 4674–4680. 2 indexed citations
10.
11.
Cerquitelli, Tania, et al.. (2021). Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Systems with Applications. 182. 115269–115269. 11 indexed citations
12.
Farasin, Alessandro, et al.. (2021). Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. Applied Sciences. 11(22). 11060–11060. 21 indexed citations
13.
Cerquitelli, Tania, et al.. (2021). Enhancing the friendliness of data analytics tasks: an automated methodology. EDBT/ICDT Workshops. 1 indexed citations
14.
Nikolakis, Nikolaos, Tania Cerquitelli, Enrico Macii, et al.. (2020). A Cloud-to-Edge Approach to Support Predictive Analytics in Robotics Industry. Electronics. 9(3). 492–492. 34 indexed citations
15.
Nikolakis, Nikolaos, et al.. (2020). A microservice architecture for predictive analytics in manufacturing. Procedia Manufacturing. 51. 1091–1097. 15 indexed citations
16.
Cerquitelli, Tania, et al.. (2019). Towards a real-time unsupervised estimation of predictive model degradation. 1–6. 10 indexed citations
17.
Cerquitelli, Tania, et al.. (2019). Exploring energy performance certificates through visualization. EDBT/ICDT Workshops. 2322. 6 indexed citations
18.
Cerquitelli, Tania, Antonio Servetti, & Enrico Masala. (2016). Discovering users with similar internet access performance through cluster analysis. Expert Systems with Applications. 64. 536–548. 6 indexed citations
19.
Acquaviva, Andrea, Daniele Apiletti, Elena Baralis, et al.. (2015). Enhancing energy awareness through the analysis of thermal energy consumption. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1330. 64–71. 9 indexed citations
20.
Catania, Barbara, Tania Cerquitelli, Silvia Chiusano, et al.. (2013). New Trends in Databases and Information Systems: 17th East European Conference on Advances in Databases and Information Systems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations

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.

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