Daniele Apiletti

851 total citations
48 papers, 532 citations indexed

About

Daniele Apiletti is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Daniele Apiletti has authored 48 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 10 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Daniele Apiletti's work include Data Mining Algorithms and Applications (8 papers), Data Stream Mining Techniques (7 papers) and Network Security and Intrusion Detection (6 papers). Daniele Apiletti is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Data Stream Mining Techniques (7 papers) and Network Security and Intrusion Detection (6 papers). Daniele Apiletti collaborates with scholars based in Italy, France and China. Daniele Apiletti's co-authors include Tania Cerquitelli, Elena Baralis, Giulia Bruno, Paolo Garza, Enrico Macii, Giovanni Malnati, Silvia Chiusano, Luca Cagliero, Vincenzo D’Elia and Alberto Macii and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Daniele Apiletti

47 papers receiving 509 citations

Peers

Daniele Apiletti
Aman Kataria India
Haoyue Liu China
Bao Rong Chang Taiwan
Himansu Das India
Tian Huang China
Nijat Mehdiyev Germany
Rafael Falcón Canada
Abdul Quadir India
Aman Kataria India
Daniele Apiletti
Citations per year, relative to Daniele Apiletti Daniele Apiletti (= 1×) peers Aman Kataria

Countries citing papers authored by Daniele Apiletti

Since Specialization
Citations

This map shows the geographic impact of Daniele Apiletti'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 Daniele Apiletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Apiletti more than expected).

Fields of papers citing papers by Daniele Apiletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Apiletti. 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 Daniele Apiletti. The network helps show where Daniele Apiletti may publish in the future.

Co-authorship network of co-authors of Daniele Apiletti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Apiletti. A scholar is included among the top collaborators of Daniele Apiletti 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 Daniele Apiletti. Daniele Apiletti 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.
Apiletti, Daniele, et al.. (2025). Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation. Computers & Geosciences. 205. 105992–105992.
2.
Apiletti, Daniele, et al.. (2025). Quantify production planning efficiency through predictive modeling in manufacturing systems. Computers & Industrial Engineering. 201. 110919–110919. 1 indexed citations
3.
Apiletti, Daniele, et al.. (2024). Hermes, a low-latency transactional storage for binary data streams from remote devices. Data & Knowledge Engineering. 153. 102315–102315. 1 indexed citations
4.
Sona, Diego, et al.. (2024). AI models for automated segmentation of engineered polycystic kidney tubules. Scientific Reports. 14(1). 2847–2847. 4 indexed citations
5.
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
6.
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
7.
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
8.
Apiletti, Daniele, et al.. (2021). Double-Step deep learning framework to improve wildfire severity classification.. 3 indexed citations
9.
Sona, Diego, Daniele Apiletti, Giuseppe Jurman, et al.. (2021). Cyst segmentation on kidney tubules by means of U-Net deep-learning models. 2021 IEEE International Conference on Big Data (Big Data). 3923–3926. 2 indexed citations
10.
Apiletti, Daniele, et al.. (2020). Evaluating espresso coffee quality by means of time-series feature engineering. 2578. 1 indexed citations
11.
Cagliero, Luca, et al.. (2020). From Hotel Reviews to City Similarities: A Unified Latent-Space Model. Electronics. 9(1). 197–197. 11 indexed citations
12.
Apiletti, Daniele, et al.. (2020). Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. 5786–5788. 9 indexed citations
13.
Renga, Daniela, Daniele Apiletti, Danilo Giordano, et al.. (2019). Transparently mining data from a medium-voltage distribution network: a prognostic-diagnostic analysis. EDBT/ICDT Workshops. 5 indexed citations
14.
Cerquitelli, Tania, et al.. (2019). Towards a real-time unsupervised estimation of predictive model degradation. 1–6. 10 indexed citations
15.
Apiletti, Daniele, Elena Baralis, Tania Cerquitelli, et al.. (2016). SeLINA: A Self-Learning Insightful Network Analyzer. IEEE Transactions on Network and Service Management. 13(3). 696–710. 22 indexed citations
16.
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
17.
Apiletti, Daniele, et al.. (2015). PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. 839–846. 13 indexed citations
18.
Apiletti, Daniele, Elena Baralis, Giulia Bruno, & Tania Cerquitelli. (2009). Real-Time Analysis of Physiological Data to Support Medical Applications. IEEE Transactions on Information Technology in Biomedicine. 13(3). 313–321. 52 indexed citations
19.
Apiletti, Daniele, Elena Baralis, Tania Cerquitelli, & Vincenzo D’Elia. (2008). Network Digest analysis by means of association rules. 5812. 11–32. 2 indexed citations
20.
Apiletti, Daniele, Elena Baralis, Giulia Bruno, & Alessandro Fiori. (2007). The Painter's Feature Selection for Gene Expression Data. Conference proceedings. 2007. 4227–4230. 9 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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