Donato Malerba

7.7k total citations
196 papers, 3.2k citations indexed

About

Donato Malerba is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Donato Malerba has authored 196 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Artificial Intelligence, 64 papers in Information Systems and 58 papers in Signal Processing. Recurrent topics in Donato Malerba's work include Data Mining Algorithms and Applications (49 papers), Data Management and Algorithms (36 papers) and Rough Sets and Fuzzy Logic (27 papers). Donato Malerba is often cited by papers focused on Data Mining Algorithms and Applications (49 papers), Data Management and Algorithms (36 papers) and Rough Sets and Fuzzy Logic (27 papers). Donato Malerba collaborates with scholars based in Italy, United States and France. Donato Malerba's co-authors include Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Giovanni Semeraro, Giuseppina Andresini, J. Kay, Francesca A. Lisi, Corrado Appice Annalisa Malerba Donato Loglisci, Gianvito Pio and Thomas Hofmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Donato Malerba

181 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donato Malerba Italy 31 1.6k 723 685 559 429 196 3.2k
Xiaoyong Du China 29 1.9k 1.2× 1.1k 1.5× 824 1.2× 430 0.8× 692 1.6× 317 3.5k
Wei Ding United States 31 2.2k 1.4× 1.1k 1.5× 413 0.6× 429 0.8× 989 2.3× 166 4.4k
Elena Baralis Italy 25 1.1k 0.7× 866 1.2× 676 1.0× 452 0.8× 196 0.5× 193 2.3k
Ge Yu China 30 1.6k 1.0× 721 1.0× 1.1k 1.6× 641 1.1× 636 1.5× 380 3.8k
Petra Perner Germany 19 2.0k 1.3× 1.6k 2.2× 416 0.6× 663 1.2× 670 1.6× 105 4.2k
Xiangrui Meng China 18 989 0.6× 1.1k 1.5× 1.3k 1.8× 387 0.7× 519 1.2× 73 3.0k
Randall Wald United States 20 1.5k 0.9× 609 0.8× 431 0.6× 267 0.5× 483 1.1× 70 3.3k
Vijay V. Raghavan United States 26 1.5k 0.9× 1.4k 1.9× 785 1.1× 759 1.4× 1.2k 2.7× 170 3.7k
John F. Roddick Australia 24 1.3k 0.8× 1.2k 1.6× 1.1k 1.6× 1.1k 2.0× 434 1.0× 118 3.1k
Qi Yu United States 30 1.1k 0.7× 1.4k 2.0× 1.0k 1.5× 256 0.5× 387 0.9× 182 3.0k

Countries citing papers authored by Donato Malerba

Since Specialization
Citations

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

Fields of papers citing papers by Donato Malerba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donato Malerba

This figure shows the co-authorship network connecting the top 25 collaborators of Donato Malerba. A scholar is included among the top collaborators of Donato Malerba 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 Donato Malerba. Donato Malerba 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.
Pasquadibisceglie, Vincenzo, Annalisa Appice, Donato Malerba, & Giuseppe Fiameni. (2025). Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients. Expert Systems with Applications. 287. 128224–128224. 1 indexed citations
2.
Pasquadibisceglie, Vincenzo, et al.. (2025). GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1074–1081.
3.
Rose, Luca, Giuseppina Andresini, Annalisa Appice, & Donato Malerba. (2024). VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Computers & Security. 144. 103926–103926. 4 indexed citations
4.
Imran, Muhammad, Annalisa Appice, & Donato Malerba. (2024). Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection. Future Internet. 16(5). 168–168. 7 indexed citations
5.
Pasquadibisceglie, Vincenzo, et al.. (2024). PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks. IEEE Transactions on Services Computing. 17(6). 4111–4124. 8 indexed citations
6.
Pasquadibisceglie, Vincenzo, Annalisa Appice, Giovanna Castellano, & Donato Malerba. (2023). JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction. IEEE Transactions on Services Computing. 17(4). 1593–1606. 14 indexed citations
7.
Andresini, Giuseppina, Annalisa Appice, & Donato Malerba. (2023). : An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 10050–10066. 10 indexed citations
8.
Pasquadibisceglie, Vincenzo, et al.. (2022). STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Transactions on Services Computing. 16(4). 2970–2984. 3 indexed citations
9.
Appice, Annalisa, et al.. (2021). Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets. Journal of Intelligent Information Systems. 57(3). 423–446. 2 indexed citations
10.
Andresini, Giuseppina, Annalisa Appice, Luca Rose, & Donato Malerba. (2021). GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Generation Computer Systems. 123. 108–127. 90 indexed citations
11.
Andresini, Giuseppina, et al.. (2021). Leveraging autoencoders in change vector analysis of optical satellite images. Journal of Intelligent Information Systems. 58(3). 433–452. 6 indexed citations
12.
Appice, Annalisa, et al.. (2020). A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access. 8. 52713–52725. 40 indexed citations
13.
Andresini, Giuseppina, Annalisa Appice, Nicola Di Mauro, Corrado Appice Annalisa Malerba Donato Loglisci, & Donato Malerba. (2020). Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access. 8. 53346–53359. 91 indexed citations
14.
Pio, Gianvito, et al.. (2019). Exploiting causality in gene network reconstruction based on graph embedding. Machine Learning. 109(6). 1231–1279. 25 indexed citations
15.
Appice, Annalisa, et al.. (2017). Leveraging correlation across space and time to interpolate geophysical data via CoKriging. International Journal of Geographical Information Systems. 32(1). 191–212. 8 indexed citations
16.
Pio, Gianvito, Michelangelo Ceci, Domenica D’Elia, & Donato Malerba. (2014). Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach.. SEBD. 21–28. 1 indexed citations
17.
Appice, Annalisa, et al.. (2013). Data Mining Techniques in Sensor Networks. SpringerBriefs in computer science. 10 indexed citations
18.
Ceci, Michelangelo, Margherita Berardi, & Donato Malerba. (2007). RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING. Applied Artificial Intelligence. 21(4-5). 317–342. 7 indexed citations
19.
Esposito, Floriana, et al.. (1997). Discovering causal rules in relational databases. Applied Artificial Intelligence. 11(1). 71–84. 3 indexed citations
20.
Esposito, Floriana, et al.. (1996). Refinement of Datalog Programs. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro).

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiaoyong Du Breakdown of academic impact, for papers by Wei Ding Breakdown of academic impact, for papers by Elena Baralis Breakdown of academic impact, for papers by Ge Yu Breakdown of academic impact, for papers by Petra Perner Breakdown of academic impact, for papers by Xiangrui Meng Breakdown of academic impact, for papers by Randall Wald Breakdown of academic impact, for papers by Vijay V. Raghavan Breakdown of academic impact, for papers by John F. Roddick Breakdown of academic impact, for papers by Qi Yu
Rankless by CCL
2026