Eva Ródenas‐Torralba

13 total papers · 470 total citations
13 papers, 376 citations indexed

About

Eva Ródenas‐Torralba is a scholar working on Analytical Chemistry, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Eva Ródenas‐Torralba has authored 13 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Analytical Chemistry, 5 papers in Biomedical Engineering and 4 papers in Spectroscopy. Recurrent topics in Eva Ródenas‐Torralba's work include Analytical chemistry methods development (10 papers), Analytical Chemistry and Sensors (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Eva Ródenas‐Torralba is often cited by papers focused on Analytical chemistry methods development (10 papers), Analytical Chemistry and Sensors (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Eva Ródenas‐Torralba collaborates with scholars based in Spain and Brazil. Eva Ródenas‐Torralba's co-authors include Miguel de la Guárdia, Ángel Morales‐Rubio, Boaventura F. Reis, Fábio R.P. Rocha, M. Luisa Cervera, Patricia Cava‐Montesinos, Salvador Garrigues and André F. Lavorante and has published in prestigious journals such as Food Chemistry, Analytica Chimica Acta and Talanta.

In The Last Decade

Eva Ródenas‐Torralba

13 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Eva Ródenas‐Torralba	208	96	96	95	90	13	376
Rafael Forteza	203 1.0×	53 0.6×	91 0.9×	95 1.0×	113 1.3×	17	403
Ludvig Moberg	122 0.6×	64 0.7×	77 0.8×	74 0.8×	52 0.6×	8	385
José Enrique Sánchez Uría	280 1.3×	122 1.3×	49 0.5×	82 0.9×	76 0.8×	16	415
A. Guiraúm	155 0.7×	66 0.7×	71 0.7×	63 0.7×	75 0.8×	21	373
Marta O. Luconi	255 1.2×	72 0.8×	34 0.4×	64 0.7×	145 1.6×	17	403
Ahad Bavili Tabrizi	317 1.5×	112 1.2×	70 0.7×	58 0.6×	153 1.7×	23	446
Mikaru Ikedo	99 0.5×	206 2.1×	80 0.8×	124 1.3×	59 0.7×	18	385
Şevket Ata	158 0.8×	99 1.0×	58 0.6×	120 1.3×	47 0.5×	13	423
John D. Pfaff	123 0.6×	150 1.6×	63 0.7×	83 0.9×	35 0.4×	12	391
G.H. Sadeghi	252 1.2×	48 0.5×	57 0.6×	42 0.4×	126 1.4×	8	415

Countries citing papers authored by Eva Ródenas‐Torralba

Since Specialization

Citations

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

Fields of papers citing papers by Eva Ródenas‐Torralba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Ródenas‐Torralba. 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 Eva Ródenas‐Torralba. The network helps show where Eva Ródenas‐Torralba may publish in the future.

Co-authorship network of co-authors of Eva Ródenas‐Torralba

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Ródenas‐Torralba. A scholar is included among the top collaborators of Eva Ródenas‐Torralba 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 Eva Ródenas‐Torralba. Eva Ródenas‐Torralba 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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