Gerard Tobías

164 total papers · 4.6k total citations
103 papers, 3.7k citations indexed

About

Gerard Tobías is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Gerard Tobías has authored 103 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Materials Chemistry, 30 papers in Biomedical Engineering and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Gerard Tobías's work include Carbon Nanotubes in Composites (49 papers), Graphene research and applications (39 papers) and 2D Materials and Applications (14 papers). Gerard Tobías is often cited by papers focused on Carbon Nanotubes in Composites (49 papers), Graphene research and applications (39 papers) and 2D Materials and Applications (14 papers). Gerard Tobías collaborates with scholars based in Spain, United Kingdom and France. Gerard Tobías's co-authors include Belén Ballesteros, Malcolm L. H. Green, Stefania Sandoval, Enric Cañadell, Christoph G. Salzmann, A. Segura, Markus Martinčić, Lidong Shao, Michael Ward and Juan F. Sánchez‐Royo and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Gerard Tobías

102 papers receiving 3.7k citations

Author Peers

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

Author Last Decade Papers Cites
Gerard Tobías 2.7k 1.2k 1.0k 531 327 103 3.7k
Xiangcheng Sun 2.8k 1.0× 1.3k 1.1× 916 0.9× 535 1.0× 291 0.9× 79 4.4k
Qianqian Su 3.4k 1.3× 1.5k 1.2× 2.1k 2.0× 588 1.1× 369 1.1× 71 5.4k
G. Polzonetti 1.6k 0.6× 1.2k 1.0× 675 0.6× 587 1.1× 558 1.7× 128 3.3k
Joe Otsuki 2.1k 0.8× 906 0.8× 738 0.7× 649 1.2× 625 1.9× 135 3.2k
Xutang Tao 2.0k 0.7× 1.3k 1.1× 486 0.5× 660 1.2× 503 1.5× 132 3.3k
Dominique Bégin 2.0k 0.7× 717 0.6× 1.0k 1.0× 557 1.0× 325 1.0× 127 3.3k
Kajsa Uvdal 3.3k 1.2× 1.6k 1.3× 1.4k 1.4× 616 1.2× 400 1.2× 141 5.7k
Shuyun Zhou 2.6k 1.0× 919 0.8× 1.3k 1.3× 804 1.5× 198 0.6× 124 4.1k
Hua Zhong 2.3k 0.8× 1.5k 1.3× 446 0.4× 369 0.7× 273 0.8× 96 3.1k
Naoto Shirahata 2.7k 1.0× 1.5k 1.3× 1.2k 1.2× 285 0.5× 249 0.8× 144 3.6k

Countries citing papers authored by Gerard Tobías

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Tobías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Tobías

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Tobías. A scholar is included among the top collaborators of Gerard Tobías 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 Gerard Tobías. Gerard Tobías 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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