Ramón Sagarna
- Artificial Intelligence top 10%
- Software top 5%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Control and Systems Engineering
- Co-authors
- José A. LozanoYew-Soon OngXin YaoChi-Keong GohAbhishek GuptaAndrea ArcuriPengfei WeiYiping Ke
- Topics
- Software Testing and Debugging Techniques (9 papers)Software Reliability and Analysis Research (8 papers)Software Engineering Research (6 papers)
- Journals
- European Journal of Operational ResearchInformation SciencesIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- SingaporeSpainUnited Kingdom
In The Last Decade
Ramón Sagarna
16 papers receiving 256 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 126
- Software 102
- Information Systems 78
- Computational Theory and Mathematics 60
- Control and Systems Engineering 29
Countries citing papers authored by Ramón Sagarna
This map shows the geographic impact of Ramón Sagarna'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 Ramón Sagarna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramón Sagarna more than expected).
Fields of papers citing papers by Ramón Sagarna
This network shows the impact of papers produced by Ramón Sagarna. 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 Ramón Sagarna. The network helps show where Ramón Sagarna may publish in the future.
Co-authorship network of co-authors of Ramón Sagarna
This figure shows the co-authorship network connecting the top 25 collaborators of Ramón Sagarna. A scholar is included among the top collaborators of Ramón Sagarna 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 Ramón Sagarna. Ramón Sagarna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 49 | |
| 6 | 4 | |
| 7 | Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression | 14 |
| 8 | 43 | |
| 9 | 11 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 26 | |
| 14 | 27 | |
| 15 | 45 | |
| 16 | 4 |
About Ramón Sagarna
Ramón Sagarna is a scholar working on Software, Statistics, Probability and Uncertainty and Information Systems, having authored 16 papers that have together received 280 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (9 papers), Software Reliability and Analysis Research (8 papers) and Software Engineering Research (6 papers). The work is most often cited by research in Software (102 citations), Artificial Intelligence (126 citations) and Computational Theory and Mathematics (60 citations). Ramón Sagarna has collaborated with scholars based in Singapore, Spain and United Kingdom. Frequent co-authors include José A. Lozano, Yew-Soon Ong, Xin Yao, Chi-Keong Goh, Abhishek Gupta, Andrea Arcuri, Pengfei Wei, Yiping Ke, Ricardo Landa Becerra and Iñaki Inza. Their work appears in journals such as European Journal of Operational Research, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.
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.