Carlos Esquerre

39 total papers · 1.3k total citations
38 papers, 1.1k citations indexed

About

Carlos Esquerre is a scholar working on Analytical Chemistry, Biomedical Engineering and Food Science. According to data from OpenAlex, Carlos Esquerre has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Analytical Chemistry, 16 papers in Biomedical Engineering and 13 papers in Food Science. Recurrent topics in Carlos Esquerre's work include Spectroscopy and Chemometric Analyses (33 papers), Advanced Chemical Sensor Technologies (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (9 papers). Carlos Esquerre is often cited by papers focused on Spectroscopy and Chemometric Analyses (33 papers), Advanced Chemical Sensor Technologies (14 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (9 papers). Carlos Esquerre collaborates with scholars based in Ireland, United States and Switzerland. Carlos Esquerre's co-authors include Colm P. O’Donnell, Gérard Downey, Aoife Gowen, Colm P. O’Donnell, Brijesh K. Tiwari, Stephen R. Delwiche, D.J. O’Callaghan, Kuanglin Chao, Changyeun Mo and Qibing Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Molecules.

In The Last Decade

Carlos Esquerre

36 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Carlos Esquerre 779 374 248 215 205 38 1.1k
Cristina Malegori 675 0.9× 444 1.2× 206 0.8× 125 0.6× 210 1.0× 54 1.3k
Chunxia Dai 620 0.8× 444 1.2× 148 0.6× 164 0.8× 159 0.8× 49 1.0k
Anguo Xie 659 0.8× 426 1.1× 184 0.7× 408 1.9× 213 1.0× 26 1.1k
J.P. Cruz‐Tirado 892 1.1× 476 1.3× 197 0.8× 245 1.1× 357 1.7× 44 1.4k
Kunshan Yao 848 1.1× 422 1.1× 287 1.2× 167 0.8× 132 0.6× 49 1.3k
Mizuki Tsuta 626 0.8× 350 0.9× 163 0.7× 148 0.7× 224 1.1× 92 1.0k
Jia-Huan Qu 730 0.9× 612 1.6× 191 0.8× 376 1.7× 234 1.1× 35 1.4k
Ricardo N.M.J. Páscoa 806 1.0× 385 1.0× 239 1.0× 117 0.5× 309 1.5× 75 1.5k
I. Esteban-Dı́ez 603 0.8× 333 0.9× 121 0.5× 214 1.0× 259 1.3× 29 940
George Bázár 442 0.6× 303 0.8× 198 0.8× 294 1.4× 182 0.9× 63 1.0k

Countries citing papers authored by Carlos Esquerre

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Esquerre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Esquerre

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Esquerre. A scholar is included among the top collaborators of Carlos Esquerre 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 Carlos Esquerre. Carlos Esquerre 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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2026