Frank E. Curtis

2.1k citations
63 papers · 1.0k · h-index 20

Impact in

Papers in

Frank E. Curtis

58 papers receiving 927 citations

Peers

Frank E. Curtis
Comparison fields: 5 of 105
  • Numerical Analysis 532
  • Computational Theory and Mathematics 397
  • Computational Mechanics 374
  • Control and Systems Engineering 225
  • Computational Mathematics 5
Replace Ion Necoara with:
Ion Necoara Romania
Yu. E. Nesterov Belgium
Guoqiang Wang China
Francesco Rinaldi Italy
Levent Tunçel Canada
Napsu Karmitsa Finland
Clóvis C. Gonzaga Brazil
Jiming Peng United States
Houduo Qi United Kingdom
Zhiyou Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Frank E. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Frank E. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank E. Curtis. 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 Frank E. Curtis. The network helps show where Frank E. Curtis may publish in the future.

Co-authors

The 25 scholars most cited alongside Frank E. Curtis, 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 Frank E. Curtis Line = papers co-authored together Frank E. Curtis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201280
3 201658
4 201556
5 201054
6 200852
7 201038
8 201236
9 201435
10 200833
11 201429
12 202127
13 200826
14 201926
15 201825
16 201423
17 200922
18 202221
19 201921
20 201219

About Frank E. Curtis

Frank E. Curtis is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (47 papers), Sparse and Compressive Sensing Techniques (34 papers), Stochastic Gradient Optimization Techniques (18 papers), Matrix Theory and Algorithms (17 papers), Optimization and Variational Analysis (9 papers), Advanced Control Systems Optimization (6 papers), Risk and Portfolio Optimization (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Numerical Analysis (532 citations), Computational Theory and Mathematics (397 citations), Computational Mechanics (374 citations), Control and Systems Engineering (225 citations) and Computational Mathematics (5 citations). Frank E. Curtis has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Daniel P. Robinson, Jorge Nocedal, Michael L. Overton, Richard H. Byrd, Andreas Wächter, Katya Scheinberg, Olaf Schenk, Rui Shi, Hao Jiang and Zheng Han. Their work appears in journals such as SIAM Journal on Optimization, Optimization methods & software, Mathematical Programming, IMA Journal of Numerical Analysis and 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.

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