Renato D. C. Monteiro
- Numerical Analysis top 0.1%
- Computational Theory and Mathematics top 0.1%
- Computational Mechanics top 0.5%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Co-authors
- Ilan AdlerSamuel BurerB. F. SvaiterZhaosong LuTakashi TsuchiyaYin ZhangGuanghui LanMing Yuan
- Topics
- Advanced Optimization Algorithms Research (94 papers)Sparse and Compressive Sensing Techniques (60 papers)Optimization and Variational Analysis (48 papers)
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology)Mathematical ProgrammingAnnals of Operations Research
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Renato D. C. Monteiro
105 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Numerical Analysis 2.8k
- Computational Theory and Mathematics 2.5k
- Computational Mechanics 1.6k
- Artificial Intelligence 739
- Control and Systems Engineering 428
Countries citing papers authored by Renato D. C. Monteiro
This map shows the geographic impact of Renato D. C. Monteiro'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 Renato D. C. Monteiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renato D. C. Monteiro more than expected).
Fields of papers citing papers by Renato D. C. Monteiro
This network shows the impact of papers produced by Renato D. C. Monteiro. 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 Renato D. C. Monteiro. The network helps show where Renato D. C. Monteiro may publish in the future.
Co-authorship network of co-authors of Renato D. C. Monteiro
This figure shows the co-authorship network connecting the top 25 collaborators of Renato D. C. Monteiro. A scholar is included among the top collaborators of Renato D. C. Monteiro 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 Renato D. C. Monteiro. Renato D. C. Monteiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 19 | |
| 12 | A New Conjugate Gradient Algorithm Incorporating Adaptive Ellipsoid Preconditioning | 2 |
| 13 | 47 | |
| 14 | 132 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 16 | |
| 18 | 56 | |
| 19 | 72 | |
| 20 | 19 |
About Renato D. C. Monteiro
Renato D. C. Monteiro is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 107 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (94 papers), Sparse and Compressive Sensing Techniques (60 papers) and Optimization and Variational Analysis (48 papers). The work is most often cited by research in Numerical Analysis (2.8k citations), Computational Theory and Mathematics (2.5k citations) and Computational Mathematics (62 citations). Renato D. C. Monteiro has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Ilan Adler, Samuel Burer, B. F. Svaiter, Zhaosong Lu, Takashi Tsuchiya, Yin Zhang, Guanghui Lan, Ming Yuan, Jong‐Shi Pang and Ali Ekici. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Mathematical Programming and Annals of Operations Research.
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.