Marco A. López

132 papers receiving 2.1k citations

Peers

Marco A. López
Comparison fields: 5 of 90
  • Numerical Analysis 1.5k
  • Computational Theory and Mathematics 1.7k
  • Management Science and Operations Research 484
  • Control and Systems Engineering 664
  • Statistics, Probability and Uncertainty 169
Replace Miguel Á. Goberna with:
Miguel Á. Goberna Spain
Jane J. Ye Canada
Johannes Jahn Germany
Harold P. Benson United States
K. O. Kortanek United States
W. Oettli Germany
B. Curtis Eaves United States
Roberto Cominetti Chile
Georg Still Netherlands
R. Hettich Germany
Marco A. López relative to Miguel Á. Goberna Spain Miguel Á. Goberna's profile →
Citations per field
00.5×1.5×
Miguel Á. Goberna · 1×
Citations per year

Countries citing papers authored by Marco A. López

Since Specialization
Citations

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

Fields of papers citing papers by Marco A. López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco A. López. 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 Marco A. López. The network helps show where Marco A. López may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006213
2 1988188
3 2001101
4 200787
5 199663
6
From linear to convex systems: consistency, Farkas' Lemma and applications
200661
7 200258
8 200855
9 200550
10 200745
11 200944
12 199944
13 200643
14 200942
15 201040
16 201340
17 200136
18 199735
19 198334
20 201032

About Marco A. López

Marco A. López is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Applied Mathematics, Control and Systems Engineering and Geometry and Topology, having authored 139 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (114 papers), Advanced Optimization Algorithms Research (102 papers), Point processes and geometric inequalities (20 papers), Advanced Control Systems Optimization (12 papers), Fixed Point Theorems Analysis (11 papers), Stability and Control of Uncertain Systems (10 papers), Risk and Portfolio Optimization (10 papers) and Functional Equations Stability Results (8 papers). The work is most often cited by research in Numerical Analysis (1.5k citations), Computational Theory and Mathematics (1.7k citations), Management Science and Operations Research (484 citations), Control and Systems Engineering (664 citations) and Statistics, Probability and Uncertainty (169 citations). Marco A. López has collaborated with scholars based in Spain, Australia and France. Frequent co-authors include Miguel Á. Goberna, J. Parra, M. J. Cánovas, Georg Still, N. Dinh, M. I. Todorov, Abderrahim Hantoute, Michel Volle, F. Javier Toledo and V. Jeyakumar. Their work appears in journals such as SIAM Journal on Optimization, Journal of Optimization Theory and Applications, Optimization, Set-Valued and Variational Analysis and European Journal of Operational 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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