D. Gallart-Mateu

33 total papers · 452 total citations
28 papers, 357 citations indexed

About

D. Gallart-Mateu is a scholar working on Analytical Chemistry, Food Science and Spectroscopy. According to data from OpenAlex, D. Gallart-Mateu has authored 28 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Analytical Chemistry, 10 papers in Food Science and 8 papers in Spectroscopy. Recurrent topics in D. Gallart-Mateu's work include Pesticide Residue Analysis and Safety (7 papers), Advanced Chemical Sensor Technologies (7 papers) and Analytical Chemistry and Chromatography (7 papers). D. Gallart-Mateu is often cited by papers focused on Pesticide Residue Analysis and Safety (7 papers), Advanced Chemical Sensor Technologies (7 papers) and Analytical Chemistry and Chromatography (7 papers). D. Gallart-Mateu collaborates with scholars based in Spain, Algeria and Morocco. D. Gallart-Mateu's co-authors include Miguel de la Guárdia, Sergio Armenta, M. Luisa Cervera, Salvador Garrigues, S. Tahiri, A. Albizane, Saâd Alami Younssi, Mostéfa Kameche, Francesc A. Esteve‐Turrillas and Agustı́n Pastor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytica Chimica Acta and TrAC Trends in Analytical Chemistry.

In The Last Decade

D. Gallart-Mateu

26 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
D. Gallart-Mateu 109 71 69 63 57 28 357
Luis Ramón Bravo Sánchez 101 0.9× 87 1.2× 52 0.8× 29 0.5× 39 0.7× 27 382
Syed Waqif‐Husain 156 1.4× 59 0.8× 48 0.7× 66 1.0× 64 1.1× 27 370
Vahid Kiarostami 139 1.3× 71 1.0× 52 0.8× 23 0.4× 42 0.7× 26 359
Bobin Tang 138 1.3× 103 1.5× 72 1.0× 32 0.5× 43 0.8× 30 401
Raghavendra Rao Pasupuleti 102 0.9× 53 0.7× 69 1.0× 29 0.5× 56 1.0× 19 359
Tahereh Momeni Isfahani 95 0.9× 74 1.0× 55 0.8× 42 0.7× 50 0.9× 29 358
Neethu Narayanan 106 1.0× 84 1.2× 34 0.5× 19 0.3× 50 0.9× 25 318
Т. И. Тихомирова 174 1.6× 43 0.6× 53 0.8× 49 0.8× 57 1.0× 50 344
Sherif M. Taha 59 0.5× 104 1.5× 45 0.7× 32 0.5× 28 0.5× 17 310
Endale Teju 74 0.7× 131 1.8× 42 0.6× 56 0.9× 20 0.4× 43 379

Countries citing papers authored by D. Gallart-Mateu

Since Specialization
Citations

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

Fields of papers citing papers by D. Gallart-Mateu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Gallart-Mateu. 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 D. Gallart-Mateu. The network helps show where D. Gallart-Mateu may publish in the future.

Co-authorship network of co-authors of D. Gallart-Mateu

This figure shows the co-authorship network connecting the top 25 collaborators of D. Gallart-Mateu. A scholar is included among the top collaborators of D. Gallart-Mateu 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 D. Gallart-Mateu. D. Gallart-Mateu 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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