Lourdes Rivas

42 total papers · 1.7k total citations
29 papers, 1.3k citations indexed

About

Lourdes Rivas is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Lourdes Rivas has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Biomedical Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Lourdes Rivas's work include Biosensors and Analytical Detection (11 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Electrochemical sensors and biosensors (7 papers). Lourdes Rivas is often cited by papers focused on Biosensors and Analytical Detection (11 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Electrochemical sensors and biosensors (7 papers). Lourdes Rivas collaborates with scholars based in Spain, United States and Italy. Lourdes Rivas's co-authors include Arben Merkoçi, Alfredo de la Escosura‐Muñiz, Daniel Quesada-González, Mariana Medina‐Sánchez, Carmen C. Mayorga‐Martinez, Claudio Parolo, Liming Hu, Ruslán Álvarez-Diduk, Enric Calucho and José Francisco Bergua and has published in prestigious journals such as Advanced Materials, ACS Nano and PLoS ONE.

In The Last Decade

Lourdes Rivas

27 papers receiving 1.3k citations

Hit Papers

Tutorial: design and fabr... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lourdes Rivas 906 882 223 202 153 29 1.3k
Hyou‐Arm Joung 1.1k 1.2× 1.0k 1.1× 175 0.8× 225 1.1× 177 1.2× 36 1.5k
Guangying Zhao 806 0.9× 858 1.0× 221 1.0× 195 1.0× 179 1.2× 61 1.3k
Stephen Hearty 895 1.0× 1.1k 1.3× 248 1.1× 98 0.5× 118 0.8× 36 1.8k
Feng Xue 825 0.9× 1.1k 1.3× 126 0.6× 189 0.9× 196 1.3× 54 1.6k
Maria D.L. Oliveira 641 0.7× 1.1k 1.2× 230 1.0× 220 1.1× 140 0.9× 83 1.6k
Aaydha Chidambara Vinayaka 656 0.7× 579 0.7× 194 0.9× 110 0.5× 211 1.4× 30 1.1k
Elif Bahadır 846 0.9× 1.0k 1.1× 492 2.2× 183 0.9× 173 1.1× 41 1.7k
Hui Xu 889 1.0× 1.2k 1.4× 190 0.9× 138 0.7× 253 1.7× 27 1.5k
Andrew T. Csordas 758 0.8× 1.2k 1.3× 166 0.7× 105 0.5× 99 0.6× 19 1.4k
Huimin Deng 537 0.6× 1.2k 1.4× 266 1.2× 94 0.5× 292 1.9× 73 1.8k

Countries citing papers authored by Lourdes Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Lourdes Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lourdes Rivas

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