Pedro Dı́az-Leyva

28 total papers · 472 total citations
24 papers, 389 citations indexed

About

Pedro Dı́az-Leyva is a scholar working on Materials Chemistry, Organic Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, Pedro Dı́az-Leyva has authored 24 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 7 papers in Organic Chemistry and 4 papers in Fluid Flow and Transfer Processes. Recurrent topics in Pedro Dı́az-Leyva's work include Pickering emulsions and particle stabilization (10 papers), Material Dynamics and Properties (8 papers) and Surfactants and Colloidal Systems (7 papers). Pedro Dı́az-Leyva is often cited by papers focused on Pickering emulsions and particle stabilization (10 papers), Material Dynamics and Properties (8 papers) and Surfactants and Colloidal Systems (7 papers). Pedro Dı́az-Leyva collaborates with scholars based in Mexico, Germany and Switzerland. Pedro Dı́az-Leyva's co-authors include Mathias Reufer, Iseult Lynch, Frank Scheffold, José Luis Arauz-Lara, Efrén Andablo-Reyes, James L. Harden, Rodrigo Sánchez, E. Bartsch, Thomas Palberg and Rolando Castillo and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Chemistry of Materials.

In The Last Decade

Pedro Dı́az-Leyva

21 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Pedro Dı́az-Leyva 235 102 92 91 45 24 389
Fabrizio Camerin 243 1.0× 154 1.5× 69 0.8× 161 1.8× 22 0.5× 25 431
Niels Boon 168 0.7× 70 0.7× 179 1.9× 87 1.0× 33 0.7× 20 428
Jacopo Vialetto 252 1.1× 124 1.2× 83 0.9× 44 0.5× 14 0.3× 27 406
Hideatsu Maeda 178 0.8× 101 1.0× 74 0.8× 19 0.2× 58 1.3× 14 388
Antara Pal 215 0.9× 82 0.8× 103 1.1× 13 0.1× 72 1.6× 32 401
Kamlesh Suthar 107 0.5× 111 1.1× 130 1.4× 117 1.3× 41 0.9× 33 406
Simone Dussi 184 0.8× 88 0.9× 94 1.0× 19 0.2× 72 1.6× 20 441
Oliver Wrede 96 0.4× 132 1.3× 110 1.2× 231 2.5× 16 0.4× 17 431
Masaya Takizawa 152 0.6× 61 0.6× 55 0.6× 91 1.0× 75 1.7× 18 407
A. Brûlet 120 0.5× 158 1.5× 49 0.5× 17 0.2× 57 1.3× 17 379

Countries citing papers authored by Pedro Dı́az-Leyva

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Dı́az-Leyva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Dı́az-Leyva. 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 Pedro Dı́az-Leyva. The network helps show where Pedro Dı́az-Leyva may publish in the future.

Co-authorship network of co-authors of Pedro Dı́az-Leyva

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Dı́az-Leyva. A scholar is included among the top collaborators of Pedro Dı́az-Leyva 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 Pedro Dı́az-Leyva. Pedro Dı́az-Leyva 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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