R. Fletcher

26.2k citations
83 papers · 18.0k indexed · 7 hit papers · h-index 38

R. Fletcher

82 papers receiving 16.2k citations

Hit Papers

A Rapidly Convergent Descent Method for Minimization19632026198420051963196419701989198710002.0k3.0k

Peers

R. Fletcher
Comparison fields: 5 of 213
  • Numerical Analysis 5.1k
  • Computational Theory and Mathematics 4.6k
  • Control and Systems Engineering 2.7k
  • Computational Mechanics 2.6k
  • Artificial Intelligence 2.0k
Replace M. J. D. Powell with:
M. J. D. Powell United Kingdom
J. E. Dennis United States
Richard H. Byrd United States
J. H. Wilkinson United Kingdom
C Moler United States
Werner C. Rheinboldt United States
Robert B. Schnabel United States
Jorge J. Morè United States
Jorge Nocedal United States
Irene A. Stegun United States
R. Fletcher relative to M. J. D. Powell United Kingdom M. J. D. Powell's profile →
Citations per field
00.5×1.5×
M. J. D. Powell · 1×
Citations per year

Countries citing papers authored by R. Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by R. Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Fletcher

This figure shows the co-authorship network connecting the top 25 collaborators of R. Fletcher. A scholar is included among the top collaborators of R. Fletcher 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 R. Fletcher. R. Fletcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 2
3 112
4 241
5
Global Convergence of Trust-Region SQP-Filter Algorithms for General Nonlinear Programming
9
6 9
7 34
8 38
9 9
10
Practical methods of optimization; (2nd ed.)breakdown →
760
11 3
12 1
13 2
14 32
15 7
16 3
17 42
18
A modified Marquardt subroutine for non-linear least squares
159
19
A new approach to variable metric algorithmsbreakdown →
2899
20 14

About R. Fletcher

R. Fletcher is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Theoretical Computer Science, having authored 83 papers that have together received 18.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (54 papers), Matrix Theory and Algorithms (29 papers) and Iterative Methods for Nonlinear Equations (13 papers). The work is most often cited by research in Numerical Analysis (5.1k citations), Computational Theory and Mathematics (4.6k citations) and Computational Mechanics (2.6k citations). R. Fletcher has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include M. J. D. Powell, Christoph Witzgall, Sven Leyffer, Yu‐Hong Dai, Philippe L. Toint, M. Al-Baali, Nicholas I. M. Gould, Andreas Wächter, Stefan Scholtes and D. Ralph. Their work appears in journals such as The Journal of Chemical Physics, Journal of the American Statistical Association and Communications of the ACM.

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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