David G. Luenberger

18.5k citations
86 papers · 11.3k indexed · 8 hit papers · h-index 31
Topics
Economic theories and models (19 papers)Advanced Optimization Algorithms Research (13 papers)Optimization and Variational Analysis (9 papers)

In The Last Decade

David G. Luenberger

83 papers receiving 10.4k citations

Hit Papers

An introduction to observers19642026198420051971197320081966196450010001.5k

Peers

David G. Luenberger
Comparison fields: 5 of 179
  • Control and Systems Engineering 5.5k
  • Computational Theory and Mathematics 1.7k
  • Electrical and Electronic Engineering 1.4k
  • Artificial Intelligence 1.3k
  • Numerical Analysis 1.3k
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Citations per field
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Countries citing papers authored by David G. Luenberger

Since Specialization
Citations

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

Fields of papers citing papers by David G. Luenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Luenberger. 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 David G. Luenberger. The network helps show where David G. Luenberger may publish in the future.

Co-authorship network of co-authors of David G. Luenberger

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Luenberger. A scholar is included among the top collaborators of David G. Luenberger 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 David G. Luenberger. David G. Luenberger 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 45
2
Investment Science, International Edition
1
3 26
4
Linear and Nonlinear Programming: Second Edition
100
5 7
6
An Efficiency Hierarchy for Constrained Economies
0
7 35
8 23
9 28
10 9
11 29
12 15
13 10
14 148
15
Introduction to linear and nonlinear programmingbreakdown →
1428
16
Perspectives on optimization : a collection of expository articles
14
17 50
18 1
19 44
20 71

About David G. Luenberger

David G. Luenberger is a scholar working on Numerical Analysis, Computational Theory and Mathematics and General Decision Sciences, having authored 86 papers that have together received 11.3k indexed citations. Recurring topics across this work include Economic theories and models (19 papers), Advanced Optimization Algorithms Research (13 papers) and Optimization and Variational Analysis (9 papers). The work is most often cited by research in Control and Systems Engineering (5.5k citations), Numerical Analysis (1.3k citations) and Computational Theory and Mathematics (1.7k citations). David G. Luenberger has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Yinyu Ye, Ami Arbel, John P. Burg, Shmuel S. Oren, L. Meier, I. Rhodes, Brian D. O. Anderson, Takeo Yamada, A. E. Bryson and Mark B. Cronshaw. Their work appears in journals such as Analytical Chemistry, Econometrica and IEEE Transactions on Automatic Control.

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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