Alejandro Prada

20 total papers · 524 total citations
18 papers, 420 citations indexed

About

Alejandro Prada is a scholar working on Biomedical Engineering, Electronic, Optical and Magnetic Materials and Computational Mechanics. According to data from OpenAlex, Alejandro Prada has authored 18 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Electronic, Optical and Magnetic Materials and 6 papers in Computational Mechanics. Recurrent topics in Alejandro Prada's work include Laser-Ablation Synthesis of Nanoparticles (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers) and Nonlinear Optical Materials Studies (6 papers). Alejandro Prada is often cited by papers focused on Laser-Ablation Synthesis of Nanoparticles (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers) and Nonlinear Optical Materials Studies (6 papers). Alejandro Prada collaborates with scholars based in Chile, Spain and Argentina. Alejandro Prada's co-authors include A. Rivera, O. Peña, Andrés Guerrero‐Martínez, Pablo Díaz‐Núñez, Guillermo González‐Rubio, Luis Bañares, Luis M. Liz‐Marzán, J. G. Izquierdo, Luis G. MacDowell and G. Tardajos and has published in prestigious journals such as Science, The Journal of Chemical Physics and Scientific Reports.

In The Last Decade

Alejandro Prada

17 papers receiving 410 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alejandro Prada 217 208 157 57 52 18 420
Khaled Metwally 292 1.3× 131 0.6× 102 0.6× 19 0.3× 23 0.4× 20 435
Ahnaf Usman Zillohu 180 0.8× 166 0.8× 102 0.6× 54 0.9× 47 0.9× 16 436
Mykhailo Vaidulych 127 0.6× 71 0.3× 181 1.2× 22 0.4× 33 0.6× 25 381
S. S. Verma 266 1.2× 275 1.3× 165 1.1× 11 0.2× 16 0.3× 18 400
David Muñetón Arboleda 200 0.9× 136 0.7× 185 1.2× 16 0.3× 12 0.2× 20 376
P. V. Satyam 73 0.3× 116 0.6× 226 1.4× 18 0.3× 33 0.6× 16 380
Jesica M. J. Santillán 229 1.1× 163 0.8× 186 1.2× 11 0.2× 20 0.4× 18 373
D. Heřman 103 0.5× 84 0.4× 245 1.6× 31 0.5× 32 0.6× 16 430
Joodeok Kim 92 0.4× 46 0.2× 256 1.6× 46 0.8× 17 0.3× 20 441
Laurent Lermusiaux 190 0.9× 210 1.0× 213 1.4× 14 0.2× 24 0.5× 18 464

Countries citing papers authored by Alejandro Prada

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Prada

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Prada. A scholar is included among the top collaborators of Alejandro Prada 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 Alejandro Prada. Alejandro Prada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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