Donato Malerba

7.8k citations
195 papers · 3.2k · h-index 31

Impact in

    • Data Management and Algorithms
    • Advanced Malware Detection Techniques
    • Anomaly Detection Techniques and Applications
    • Internet Traffic Analysis and Secure E-voting
    • Machine Learning and Data Classification

Papers in

Donato Malerba

179 papers receiving 3.0k citations

Peers

Donato Malerba
Comparison fields: 5 of 161
  • Signal Processing 560
  • Artificial Intelligence 1.6k
  • Information Systems 720
  • Computer Networks and Communications 696
  • Computer Vision and Pattern Recognition 425
Replace Xiaoyong Du with:
Xiaoyong Du China
Wei Ding United States
John F. Roddick Australia
Joshua Zhexue Huang China
Ge Yu China
Wei Fan United States
Raymond Chi-Wing Wong Hong Kong
Xiangrui Meng China
Gongqing Wu China
Annalisa Appice Italy
Donato Malerba relative to Xiaoyong Du China Xiaoyong Du's profile →
Citations per field
00.5×1.5×
Xiaoyong Du · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Donato Malerba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donato Malerba Line = papers co-authored together Donato Malerba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997345
2 2011150
3 2021101
4 202095
5 202194
6 202178
7
Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
200872
8 201669
9 200468
10 200764
11 201560
12 201553
13 201953
14 200148
15 201947
16 200346
17 201443
18 200442
19 202041
20 202141

About Donato Malerba

Donato Malerba is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 195 papers that have together received 3.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (48 papers), Data Management and Algorithms (36 papers), Rough Sets and Fuzzy Logic (26 papers), Advanced Database Systems and Queries (20 papers), Anomaly Detection Techniques and Applications (20 papers), Data Stream Mining Techniques (18 papers), Semantic Web and Ontologies (16 papers) and Time Series Analysis and Forecasting (16 papers). The work is most often cited by research in Signal Processing (560 citations), Artificial Intelligence (1.6k citations), Information Systems (720 citations), Computer Networks and Communications (696 citations) and Computer Vision and Pattern Recognition (425 citations). Donato Malerba has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Annalisa Appice, Floriana Esposito, Michelangelo Ceci, Giovanni Semeraro, Giuseppina Andresini, J. Kay, Francesca A. Lisi, Corrado Appice Annalisa Malerba Donato Loglisci, Gianvito Pio and Fabio Fumarola. Their work appears in journals such as Journal of Intelligent Information Systems, Information Sciences, Applied Artificial Intelligence, BMC Bioinformatics and Machine Learning.

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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