Claudio Moraga
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Coding theory and cryptography
- Quantum Computing Algorithms and Architecture
Papers in
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- Coding theory and cryptography 22
- Neural Networks and Applications 22
- Fuzzy Logic and Control Systems 15
- Quantum Computing Algorithms and Architecture 13
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- Advanced Algebra and Logic 12
- Co-authors
- Igor Aizenberg (3 shared papers)Radomir S. Stanković (47 shared papers)Chongfu Huang (3 shared papers)Héctor Allende (11 shared papers)Jaakko Astola (20 shared papers)Rodrigo Salas (4 shared papers)Enric Trillas (10 shared papers)Jun Han (1 shared paper)
In The Last Decade
Claudio Moraga
102 papers receiving 685 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 370
- Computational Theory and Mathematics 171
- Signal Processing 69
- Management Science and Operations Research 64
- Software 17
Countries citing papers authored by Claudio Moraga
This map shows the geographic impact of Claudio Moraga'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 Claudio Moraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Moraga more than expected).
Fields of papers citing papers by Claudio Moraga
This network shows the impact of papers produced by Claudio Moraga. 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 Claudio Moraga. The network helps show where Claudio Moraga may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudio Moraga, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 142 | |
| 2 | Artificial neural networks in time series forecasting: a comparative analysis | 2002 | 47 |
| 3 | 2004 | 35 | |
| 4 | 2002 | 27 | |
| 5 | 2005 | 27 | |
| 6 | 1996 | 26 | |
| 7 | 1978 | 25 | |
| 8 | 2012 | 21 | |
| 9 | 2003 | 20 | |
| 10 | 1978 | 20 | |
| 11 | Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008 | 2008 | 18 |
| 12 | 1979 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2009 | 9 | |
| 15 | 1985 | 9 | |
| 16 | 1995 | 8 | |
| 17 | 1978 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 1979 | 8 |
About Claudio Moraga
Claudio Moraga is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine, having authored 113 papers that have together received 721 indexed citations. Recurring topics across this work include Coding theory and cryptography (22 papers), Neural Networks and Applications (22 papers), graph theory and CDMA systems (16 papers), Fuzzy Logic and Control Systems (15 papers), Quantum Computing Algorithms and Architecture (13 papers), Advanced Algebra and Logic (12 papers), Cancer Mechanisms and Therapy (9 papers) and Multi-Criteria Decision Making (8 papers). The work is most often cited by research in Artificial Intelligence (370 citations), Computational Theory and Mathematics (171 citations), Signal Processing (69 citations), Management Science and Operations Research (64 citations) and Software (17 citations). Claudio Moraga has collaborated with scholars based in Germany, Serbia and Spain. Frequent co-authors include Igor Aizenberg, Radomir S. Stanković, Chongfu Huang, Héctor Allende, Jaakko Astola, Rodrigo Salas, Enric Trillas, Jun Han, Sergio Guadarrama and Dragan Janković. Their work appears in journals such as Information Sciences, Electronics Letters, International Journal of Computational Intelligence Systems, IEEE Transactions on Fuzzy Systems and Engineering Applications of Artificial Intelligence.
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.