Jaime H. Ortega
- Mathematical Physics top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Computational Mechanics top 10%
- Co-authors
- Rodrigo LecarosTakeshi AsahiEnrique ZuazuaRodrigo PascualLionel RosierÁlvaro ValenciaSorin MicuCarlos Conca
- Topics
- Advanced Mathematical Modeling in Engineering (23 papers)Numerical methods in inverse problems (17 papers)Stability and Controllability of Differential Equations (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Fluid MechanicsIEEE Transactions on Power Systems
In The Last Decade
Jaime H. Ortega
51 papers receiving 821 citations
Peers
Comparison fields: 5 of 133
- Mathematical Physics 216
- Computer Vision and Pattern Recognition 182
- Computational Theory and Mathematics 169
- Control and Systems Engineering 153
- Computational Mechanics 139
Countries citing papers authored by Jaime H. Ortega
This map shows the geographic impact of Jaime H. Ortega'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 Jaime H. Ortega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime H. Ortega more than expected).
Fields of papers citing papers by Jaime H. Ortega
This network shows the impact of papers produced by Jaime H. Ortega. 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 Jaime H. Ortega. The network helps show where Jaime H. Ortega may publish in the future.
Co-authorship network of co-authors of Jaime H. Ortega
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime H. Ortega. A scholar is included among the top collaborators of Jaime H. Ortega 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 Jaime H. Ortega. Jaime H. Ortega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 50 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | Proceedings - International Conference on Image Processing, ICIP | 245 |
| 11 | 30 | |
| 12 | 15 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 16 | |
| 19 | 13 | |
| 20 | Local gradient estimates and existence of minimal solutions of some nonlinear elliptic equations blowing up on the boundary | 1 |
About Jaime H. Ortega
Jaime H. Ortega is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Control and Systems Engineering, having authored 56 papers that have together received 873 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (23 papers), Numerical methods in inverse problems (17 papers) and Stability and Controllability of Differential Equations (15 papers). The work is most often cited by research in Mathematical Physics (216 citations), Computational Theory and Mathematics (169 citations) and Applied Mathematics (99 citations). Jaime H. Ortega has collaborated with scholars based in Chile, Spain and France. Frequent co-authors include Rodrigo Lecaros, Takeshi Asahi, Enrique Zuazua, Rodrigo Pascual, Lionel Rosier, Álvaro Valencia, Sorin Micu, Carlos Conca, Takéo Takahashi and Nicolás Mujica. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and IEEE Transactions on Power 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.