Alejandro Cósimo

17 papers receiving 453 citations

Alejandro Cósimo's Hit Papers

Parallel distributed computing using Python 2011 · 333 citations
3330+5+10Years since publication100200300

Peers

Alejandro Cósimo
Comparison fields: 5 of 86
  • Computational Mechanics 114
  • Numerical Analysis 28
  • Computational Theory and Mathematics 72
  • Statistical and Nonlinear Physics 55
  • Statistics, Probability and Uncertainty 28
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Citations per year

Countries citing papers authored by Alejandro Cósimo

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Cósimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Alejandro Cósimo, 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 Alejandro Cósimo Line = papers co-authored together Alejandro Cósimo links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Parallel distributed computing using Python
Hit paper breakdown →
2011333
2 202024
3 201219
4 201418
5 201914
6 202113
7 20209
8 20209
9 20178
10 20168
11 20233
12 20233
13 20183
14
EVOLUTION OF TEMPERATURE DURING SHAPED METAL DEPOSITION: FINITE ELEMENT PREDICTIONS VS. OBSERVATIONS
20103
15 20192
16 20241
17 20241

About Alejandro Cósimo

Alejandro Cósimo is a scholar working on Control and Systems Engineering, Mechanics of Materials, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (9 papers), Contact Mechanics and Variational Inequalities (8 papers), Mechanical stress and fatigue analysis (5 papers), Vibration and Dynamic Analysis (4 papers), Model Reduction and Neural Networks (4 papers), Probabilistic and Robust Engineering Design (3 papers), Numerical methods for differential equations (2 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). The work is most often cited by research in Computational Mechanics (114 citations), Numerical Analysis (28 citations), Computational Theory and Mathematics (72 citations), Statistical and Nonlinear Physics (55 citations) and Statistics, Probability and Uncertainty (28 citations). Alejandro Cósimo has collaborated with scholars based in Argentina, Belgium and Spain. Frequent co-authors include Rodrigo R. Paz, Pablo A. Kler, Lisandro Dalcín, Alberto Cardona, Olivier Brüls, Sergio R. Idelsohn, Vı́ctor D. Fachinotti, Joachim Linn, Omer Van der Biest and Vincent Denoël. Their work appears in journals such as Multibody System Dynamics, International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering, Computational Mechanics and Nonlinear Dynamics.

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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