David Mora

1.9k citations
67 papers · 1.2k indexed · h-index 15

Impact in

Papers in

David Mora

60 papers receiving 1.2k citations

Peers

David Mora
Comparison fields: 5 of 51
  • Computational Mechanics 1.1k
  • Mechanics of Materials 740
  • Computational Theory and Mathematics 410
  • Numerical Analysis 122
  • Electrical and Electronic Engineering 405
Replace Ricardo G. Durán with:
Ricardo G. Durán Argentina
Zhong‐Ci Shi China
Thirupathi Gudi India
Ricardo G. Durán Argentina
Thomas Apel Germany
Shipeng Mao China
So‐Hsiang Chou United States
Andreas Veeser Italy
Weifeng Qiu Hong Kong
David Mora relative to Ricardo G. Durán Argentina Ricardo G. Durán's profile →
Citations per field
00.5×6.8×
Ricardo G. Durán · 1×
Citations per year

Countries citing papers authored by David Mora

Since Specialization
Citations

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

Fields of papers citing papers by David Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David Mora, 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 David Mora Line = papers co-authored together David Mora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014190
2 2015188
3 2015139
4 201654
5 201953
6 201751
7 201739
8 201939
9 201535
10 201532
11 200828
12 201324
13 200917
14 201517
15 201116
16 201814
17 202014
18 201513
19 202113
20 201413

About David Mora

David Mora is a scholar working on Computational Mechanics, Mechanics of Materials, Computational Theory and Mathematics, Electrical and Electronic Engineering and Numerical Analysis, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (55 papers), Numerical methods in engineering (37 papers), Advanced Mathematical Modeling in Engineering (20 papers), Computational Fluid Dynamics and Aerodynamics (14 papers), Electromagnetic Simulation and Numerical Methods (9 papers), Elasticity and Material Modeling (6 papers), Model Reduction and Neural Networks (6 papers) and Differential Equations and Numerical Methods (5 papers). The work is most often cited by research in Computational Mechanics (1.1k citations), Mechanics of Materials (740 citations), Computational Theory and Mathematics (410 citations), Numerical Analysis (122 citations) and Electrical and Electronic Engineering (405 citations). David Mora has collaborated with scholars based in Chile, Italy and Colombia. Frequent co-authors include L. Beirão da Veiga, Rodolfo Rodrı́guez, Gonzalo Rivera, Carlo Lovadina, Paola F. Antonietti, Marco Verani, Ricardo Ruíz-Baier, Giuseppe Vacca, Salim Meddahi and Ricardo Oyarzúa. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Scientific Computing, Computers & Mathematics with Applications, SIAM Journal on Scientific Computing and IMA Journal of Numerical Analysis.

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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