Jorge Nocedal

56.0k citations
105 papers · 37.3k indexed · 14 hit papers · h-index 44

Impact in

    • Advanced Optimization Algorithms Research
    • Iterative Methods for Nonlinear Equations
    • Matrix Theory and Algorithms
    • Optimization and Variational Analysis
    • Advanced Multi-Objective Optimization Algorithms

Papers in

Jorge Nocedal

100 papers receiving 35.4k citations

Hit Papers

A Stochastic Quasi-Newton Method for Large-Scale Optimization 2016 · 225 citations
22519802026199520102.0k4.0k6.0k

Peers

Jorge Nocedal
Comparison fields: 5 of 222
  • Numerical Analysis 6.3k
  • Computational Theory and Mathematics 6.4k
  • Computational Mathematics 198
  • Computational Mechanics 6.0k
  • Statistics, Probability and Uncertainty 1.4k
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Citations per field
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Citations per year

Countries citing papers authored by Jorge Nocedal

Since Specialization
Citations

This map shows the geographic impact of Jorge Nocedal'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 Jorge Nocedal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Nocedal more than expected).

Fields of papers citing papers by Jorge Nocedal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Nocedal. 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 Jorge Nocedal. The network helps show where Jorge Nocedal may publish in the future.

Co-authors

The 25 scholars most cited alongside Jorge Nocedal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jorge Nocedal Line = papers co-authored together Jorge Nocedal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202311
2 20162
3
Newton-Like Methods for Sparse Inverse Covariance Estimation
201257
4
On the Solution of Complementarity Problems Arising in American Options Pricing
20102
5 20065
6
An active-set algorithm for nonlinear programming using linear programming and equality constained subproblems
20031
7 2001174
8
Numerical Optimization
Hit paper breakdown →
19996997
9 199890
10
Mechanics in the Engineering First curriculum at northwestern university
199720
11
Algorithm 778: L-BFGS-B
Hit paper breakdown →
19972249
12
A Limited Memory Algorithm for Bound Constrained Optimization
Hit paper breakdown →
19954038
13 199310
14 19936
15
Representations of Quasi-Newton Matrices and Their Use in Limited Memory Methods ; CU-CS-612-92
19926
16 1991148
17 199059
18 1985148
19
Updating quasi-Newton matrices with limited storage
Hit paper breakdown →
19801882
20
A Study of Conjugate Gradient Methods.
19782

About Jorge Nocedal

Jorge Nocedal is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Computational Mechanics, Control and Systems Engineering and Mathematical Physics, having authored 105 papers that have together received 37.3k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (77 papers), Matrix Theory and Algorithms (33 papers), Iterative Methods for Nonlinear Equations (27 papers), Optimization and Variational Analysis (22 papers), Advanced Control Systems Optimization (20 papers), Sparse and Compressive Sensing Techniques (19 papers), Numerical Methods and Algorithms (9 papers) and Stochastic Gradient Optimization Techniques (7 papers). The work is most often cited by research in Numerical Analysis (6.3k citations), Computational Theory and Mathematics (6.4k citations), Computational Mathematics (198 citations), Computational Mechanics (6.0k citations) and Statistics, Probability and Uncertainty (1.4k citations). Jorge Nocedal has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Stephen J. Wright, Richard H. Byrd, Cheng‐Di Dong, Ciyou Zhu, Jean Charles Gilbert, José Luis Morales, Richard A. Waltz, Dominique Orban, Robert B. Schnabel and Michael L. Overton. Their work appears in journals such as SIAM Journal on Optimization, Mathematical Programming, Optimization methods & software, ACM Transactions on Mathematical Software and Computational Optimization and Applications.

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.

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