Felipe Lara
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
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- Optimization and Variational Analysis
- Contact Mechanics and Variational Inequalities
Papers in
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- Optimization and Variational Analysis 36
- Contact Mechanics and Variational Inequalities 4
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- Advanced Optimization Algorithms Research 26
- Co-authors
- Alfredo N. Iusem (7 shared papers)Sorin‐Mihai Grad (5 shared papers)Nicolas Hadjisavvas (4 shared papers)Fabián Flores-Bazán (2 shared papers)Rubén López (2 shared papers)Juan Enrique Martínez-Legaz (1 shared paper)Gabriel Haeser (1 shared paper)Dinh The Luc (1 shared paper)
In The Last Decade
Felipe Lara
32 papers receiving 299 citations
Peers
Comparison fields: 5 of 21
- Numerical Analysis 211
- Computational Theory and Mathematics 288
- Geometry and Topology 78
- Computational Mathematics 3
- Applied Mathematics 38
Countries citing papers authored by Felipe Lara
This map shows the geographic impact of Felipe Lara'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 Felipe Lara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Lara more than expected).
Fields of papers citing papers by Felipe Lara
This network shows the impact of papers produced by Felipe Lara. 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 Felipe Lara. The network helps show where Felipe Lara may publish in the future.
Co-authors
The 10 scholars most cited alongside Felipe Lara, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 28 | |
| 2 | 2021 | 23 | |
| 3 | 2022 | 23 | |
| 4 | 2016 | 20 | |
| 5 | 2021 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2011 | 6 |
About Felipe Lara
Felipe Lara is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Geometry and Topology, Computational Mechanics and Applied Mathematics, having authored 37 papers that have together received 301 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (36 papers), Advanced Optimization Algorithms Research (26 papers), Fixed Point Theorems Analysis (14 papers), Sparse and Compressive Sensing Techniques (6 papers), Contact Mechanics and Variational Inequalities (4 papers), Mathematical Inequalities and Applications (3 papers), Numerical methods in inverse problems (2 papers) and Optimization and Mathematical Programming (2 papers). The work is most often cited by research in Numerical Analysis (211 citations), Computational Theory and Mathematics (288 citations), Geometry and Topology (78 citations), Computational Mathematics (3 citations) and Applied Mathematics (38 citations). Felipe Lara has collaborated with scholars based in Chile, Brazil and Vietnam. Frequent co-authors include Alfredo N. Iusem, Sorin‐Mihai Grad, Nicolas Hadjisavvas, Fabián Flores-Bazán, Rubén López, Juan Enrique Martínez-Legaz, Gabriel Haeser, Dinh The Luc, B. F. Svaiter and Phan Tu Vuong. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Global Optimization, Optimization, Computational Optimization and Applications and Set-Valued and Variational Analysis.
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.