Fernando Martínez‐Pedrero

51 total papers · 991 total citations
34 papers, 805 citations indexed

About

Fernando Martínez‐Pedrero is a scholar working on Condensed Matter Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Fernando Martínez‐Pedrero has authored 34 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 20 papers in Materials Chemistry and 16 papers in Biomedical Engineering. Recurrent topics in Fernando Martínez‐Pedrero's work include Micro and Nano Robotics (20 papers), Pickering emulsions and particle stabilization (18 papers) and Characterization and Applications of Magnetic Nanoparticles (10 papers). Fernando Martínez‐Pedrero is often cited by papers focused on Micro and Nano Robotics (20 papers), Pickering emulsions and particle stabilization (18 papers) and Characterization and Applications of Magnetic Nanoparticles (10 papers). Fernando Martínez‐Pedrero collaborates with scholars based in Spain, France and Germany. Fernando Martínez‐Pedrero's co-authors include Pietro Tierno, Ramón G. Rubio, Francisco Ortega, Ignacio Pagonabarraga, Antonio Ortiz-Ambriz, Eduardo Guzmán, M. Tirado-Miranda, A. Schmitt, J. Callejas-Fernández and Hernán A. Ritacco and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Advanced Functional Materials.

In The Last Decade

Fernando Martínez‐Pedrero

33 papers receiving 797 citations

Author Peers

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

Author Last Decade Papers Cites
Fernando Martínez‐Pedrero 422 400 358 190 127 34 805
Reine‐Marie Guillermic 344 0.8× 143 0.4× 189 0.5× 116 0.6× 83 0.7× 25 732
Martin F. Haase 693 1.6× 113 0.3× 259 0.7× 372 2.0× 84 0.7× 33 1.0k
Prajnaparamita Dhar 232 0.5× 193 0.5× 308 0.9× 134 0.7× 44 0.3× 38 819
Rudolf Weeber 252 0.6× 189 0.5× 488 1.4× 46 0.2× 108 0.9× 28 776
Lukas Zeininger 474 1.1× 104 0.3× 243 0.7× 202 1.1× 45 0.4× 39 723
Arnaud Videcoq 540 1.3× 129 0.3× 133 0.4× 211 1.1× 59 0.5× 49 939
Juan Carlos Fernández-Toledano 539 1.3× 84 0.2× 191 0.5× 288 1.5× 50 0.4× 22 972
Jason J. Benkoski 254 0.6× 141 0.4× 269 0.8× 120 0.6× 81 0.6× 38 816
Chekesha M. Liddell 728 1.7× 122 0.3× 175 0.5× 198 1.0× 37 0.3× 23 942
Takuya Tanaka 578 1.4× 202 0.5× 151 0.4× 443 2.3× 39 0.3× 39 973

Countries citing papers authored by Fernando Martínez‐Pedrero

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Martínez‐Pedrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Martínez‐Pedrero. 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 Fernando Martínez‐Pedrero. The network helps show where Fernando Martínez‐Pedrero may publish in the future.

Co-authorship network of co-authors of Fernando Martínez‐Pedrero

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026