Corrado Mencar
- Artificial Intelligence top 2%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Anna Maria FanelliGiovanna CastellanoCiro CastielloGabriella CasalinoJosé M. AlonsoNicoletta Del BuonoGennaro VessioLuis Magdalena
- Topics
- Fuzzy Logic and Control Systems (38 papers)Rough Sets and Fuzzy Logic (28 papers)Neural Networks and Applications (15 papers)
In The Last Decade
Corrado Mencar
68 papers receiving 938 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 645
- Management Science and Operations Research 162
- Computational Theory and Mathematics 160
- Computer Vision and Pattern Recognition 143
- Information Systems 106
Countries citing papers authored by Corrado Mencar
This map shows the geographic impact of Corrado Mencar'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 Corrado Mencar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corrado Mencar more than expected).
Fields of papers citing papers by Corrado Mencar
This network shows the impact of papers produced by Corrado Mencar. 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 Corrado Mencar. The network helps show where Corrado Mencar may publish in the future.
Co-authorship network of co-authors of Corrado Mencar
This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Mencar. A scholar is included among the top collaborators of Corrado Mencar 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 Corrado Mencar. Corrado Mencar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 35 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 66 | |
| 6 | 6 | |
| 7 | Hybrid Data-Expert Explainable Beer Style Classifier | 4 |
| 8 | 12 | |
| 9 | 14 | |
| 10 | Towards fuzzy granulation in OWL ontologies. | 3 |
| 11 | 57 | |
| 12 | A logic-based approach for evaluating interpretability of fuzzy rule-based classifiers | 3 |
| 13 | 6 | |
| 14 | Some Fundamental Interpretability Issues in Fuzzy Modeling | 15 |
| 15 | 2 | |
| 16 | DCClass: a Tool to Extract Human Understandable Fuzzy Information Granules for Classification | 3 |
| 17 | Design of transparent mamdani fuzzy inference systems | 20 |
| 18 | 7 | |
| 19 | Generation of interpretable fuzzy granules by a double-clustering technique | 18 |
| 20 | A New Empirical Risk Functional for a Neuro-Fuzzy Classifier | 3 |
About Corrado Mencar
Corrado Mencar is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 73 papers that have together received 981 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (38 papers), Rough Sets and Fuzzy Logic (28 papers) and Neural Networks and Applications (15 papers). The work is most often cited by research in Artificial Intelligence (645 citations), Management Science and Operations Research (162 citations) and Computational Theory and Mathematics (160 citations). Corrado Mencar has collaborated with scholars based in Italy, Spain and Canada. Frequent co-authors include Anna Maria Fanelli, Giovanna Castellano, Ciro Castiello, Gabriella Casalino, José M. Alonso, Nicoletta Del Buono, Gennaro Vessio, Luis Magdalena, Giovanna Elisiana Carpagnano and Donato Lacedonia. Their work appears in journals such as IEEE Access, BMC Bioinformatics 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.