Andrew C. Eberhard

74 papers receiving 508 citations

Peers

Andrew C. Eberhard
Comparison fields: 5 of 77
  • Numerical Analysis 148
  • Computational Theory and Mathematics 213
  • Applied Mathematics 98
  • Industrial and Manufacturing Engineering 88
  • Management Science and Operations Research 69
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Rafail N. Gasimov Türkiye
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Citations per year

Countries citing papers authored by Andrew C. Eberhard

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Eberhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew C. Eberhard. 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 Andrew C. Eberhard. The network helps show where Andrew C. Eberhard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201630
3 202125
4 201422
5 199922
6 202120
7 201219
8 201119
9 201819
10 202218
11 202218
12 199816
13 202216
14 199814
15
Infimal convolutions and lipschitzian properties of subdifferentials for prox-regular functions in hilbert spaces
201013
16 200912
17 201411
18 200910
19 20219
20 20079

About Andrew C. Eberhard

Andrew C. Eberhard is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Applied Mathematics, Industrial and Manufacturing Engineering and Mathematical Physics, having authored 81 papers that have together received 539 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (36 papers), Advanced Optimization Algorithms Research (24 papers), Vehicle Routing Optimization Methods (14 papers), Optimization and Mathematical Programming (8 papers), Advanced Banach Space Theory (7 papers), Mathematical Inequalities and Applications (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Risk and Portfolio Optimization (6 papers). The work is most often cited by research in Numerical Analysis (148 citations), Computational Theory and Mathematics (213 citations), Applied Mathematics (98 citations), Industrial and Manufacturing Engineering (88 citations) and Management Science and Operations Research (69 citations). Andrew C. Eberhard has collaborated with scholars based in Australia, Iraq and United Kingdom. Frequent co-authors include Natashia Boland, Fabrício Oliveira, John Hearne, Babak Abbasi, Daniel Ralph, Angelos Tsoukalas, Robin D. Hill, Jeff Linderoth, Xinghuo Yu and H. Mohebi. Their work appears in journals such as Set-Valued and Variational Analysis, Journal of Optimization Theory and Applications, SIAM Journal on Optimization, Mathematical Programming 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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