Danilo Pelusi
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Evolutionary Algorithms and Applications
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Neural Networks and Applications 12
- Fuzzy Logic and Control Systems 11
- Anomaly Detection Techniques and Applications 9
- Metaheuristic Optimization Algorithms Research 8
- Evolutionary Algorithms and Applications 6
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- Rough Sets and Fuzzy Logic 9
- Co-authors
- Janmenjoy Nayak (40 shared papers)Bighnaraj Naik (25 shared papers)Yong Deng (11 shared papers)Luca G. Tallini (11 shared papers)Raffaele Mascella (11 shared papers)Rajesh Singh (1 shared paper)Waleed S. Alnumay (1 shared paper)Rohit Sharma (1 shared paper)
In The Last Decade
Danilo Pelusi
100 papers receiving 2.0k citations
Danilo Pelusi's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 767
- Computer Networks and Communications 391
- Signal Processing 148
- Computational Theory and Mathematics 218
- Health Informatics 17
Countries citing papers authored by Danilo Pelusi
This map shows the geographic impact of Danilo Pelusi'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 Danilo Pelusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Pelusi more than expected).
Fields of papers citing papers by Danilo Pelusi
This network shows the impact of papers produced by Danilo Pelusi. 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 Danilo Pelusi. The network helps show where Danilo Pelusi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danilo Pelusi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Industrial Internet of Things and its Applications in Industry 4.0: State of The Art Hit paper breakdown → | 2020 | 350 |
| 2 | 2020 | 127 | |
| 3 | 2019 | 97 | |
| 4 | 2019 | 74 | |
| 5 | 2020 | 69 | |
| 6 | 2019 | 66 | |
| 7 | 2019 | 63 | |
| 8 | 2018 | 56 | |
| 9 | 2018 | 52 | |
| 10 | 2020 | 49 | |
| 11 | 2019 | 48 | |
| 12 | 2021 | 44 | |
| 13 | 2021 | 42 | |
| 14 | 2011 | 40 | |
| 15 | 2019 | 33 | |
| 16 | 2019 | 31 | |
| 17 | 2023 | 30 | |
| 18 | 2012 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2024 | 25 |
About Danilo Pelusi
Danilo Pelusi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Control and Systems Engineering and Management Science and Operations Research, having authored 107 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Fuzzy Logic and Control Systems (11 papers), Rough Sets and Fuzzy Logic (9 papers), Anomaly Detection Techniques and Applications (9 papers), Multi-Criteria Decision Making (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Data Mining Algorithms and Applications (6 papers) and Evolutionary Algorithms and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (767 citations), Computer Networks and Communications (391 citations), Signal Processing (148 citations), Computational Theory and Mathematics (218 citations) and Health Informatics (17 citations). Danilo Pelusi has collaborated with scholars based in Italy, India and China. Frequent co-authors include Janmenjoy Nayak, Bighnaraj Naik, Yong Deng, Luca G. Tallini, Raffaele Mascella, Rajesh Singh, Waleed S. Alnumay, Rohit Sharma, Suresh Chandra Satapathy and Praveen Kumar Malik. Their work appears in journals such as Mathematical Biosciences & Engineering, Engineering Applications of Artificial Intelligence, Neural Computing and Applications, Expert Systems with Applications and Information Sciences.
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.