Gerard Martínez-Rosell

14 papers and 1.5k indexed citations i.

About

Gerard Martínez-Rosell is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Gerard Martínez-Rosell has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 9 papers in Materials Chemistry. Recurrent topics in Gerard Martínez-Rosell’s work include Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (10 papers) and Machine Learning in Materials Science (6 papers). Gerard Martínez-Rosell is often cited by papers focused on Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (10 papers) and Machine Learning in Materials Science (6 papers). Gerard Martínez-Rosell collaborates with scholars based in Spain, Italy and United States. Gerard Martínez-Rosell's co-authors include Gianni De Fabritiis, José Jiménez-Luna, Miha Škalič, Stefan Doerr, Alexander Rose, Toni Giorgino, M J Harvey, Alejandro Varela‐Rial, Adrià Pérez and Abhijeet Kapoor and has published in prestigious journals such as Bioinformatics, Scientific Reports and Chemical Science.

In The Last Decade

Co-authorship network of co-authors of Gerard Martínez-Rosell i

Fields of papers citing papers by Gerard Martínez-Rosell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerard Martínez-Rosell

Since Specialization
Citations

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

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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