Raffaele Mascella
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Luca G. TalliniDanilo PelusiJanmenjoy NayakBighnaraj NaikYong DengAjith AbrahamBella BoseSamir Elmougy
- Topics
- Coding theory and cryptography (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)Evolutionary Algorithms and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryExpert Systems with Applications
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Raffaele Mascella
15 papers receiving 296 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 206
- Computational Theory and Mathematics 100
- Control and Systems Engineering 44
- Electrical and Electronic Engineering 42
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Raffaele Mascella
This map shows the geographic impact of Raffaele Mascella'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 Raffaele Mascella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Mascella more than expected).
Fields of papers citing papers by Raffaele Mascella
This network shows the impact of papers produced by Raffaele Mascella. 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 Raffaele Mascella. The network helps show where Raffaele Mascella may publish in the future.
Co-authorship network of co-authors of Raffaele Mascella
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Mascella. A scholar is included among the top collaborators of Raffaele Mascella 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 Raffaele Mascella. Raffaele Mascella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 47 | |
| 5 | 92 | |
| 6 | 52 | |
| 7 | 22 | |
| 8 | 21 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | UNO SCIENZIATO ABRUZZESE: ANDREA ARGOLI. | 0 |
| 13 | 6 | |
| 14 | 13 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 1 |
About Raffaele Mascella
Raffaele Mascella is a scholar working on Theoretical Computer Science, Computational Theory and Mathematics and Artificial Intelligence, having authored 18 papers that have together received 303 indexed citations. Recurring topics across this work include Coding theory and cryptography (6 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (206 citations), Computational Theory and Mathematics (100 citations) and Control and Systems Engineering (44 citations). Raffaele Mascella has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Luca G. Tallini, Danilo Pelusi, Janmenjoy Nayak, Bighnaraj Naik, Yong Deng, Ajith Abraham, Bella Bose, Samir Elmougy, B. Bose and Weiping Ding. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Expert Systems with Applications.
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.