Jérôme Vial

3.2k total citations
115 papers, 2.6k citations indexed

About

Jérôme Vial is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Jérôme Vial has authored 115 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Spectroscopy, 57 papers in Biomedical Engineering and 43 papers in Analytical Chemistry. Recurrent topics in Jérôme Vial's work include Analytical Chemistry and Chromatography (59 papers), Advanced Chemical Sensor Technologies (27 papers) and Microfluidic and Capillary Electrophoresis Applications (23 papers). Jérôme Vial is often cited by papers focused on Analytical Chemistry and Chromatography (59 papers), Advanced Chemical Sensor Technologies (27 papers) and Microfluidic and Capillary Electrophoresis Applications (23 papers). Jérôme Vial collaborates with scholars based in France, Romania and Spain. Jérôme Vial's co-authors include Alain Jardy, Didier Thiébaut, Patrick Sassiat, Ana Agüera, S. Malato, José Dugay, Marie‐Claire Hennion, François Tournilhac, Amadeo R. Fernández‐Alba and Nathalie Delaunay and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Water Research.

In The Last Decade

Jérôme Vial

110 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jérôme Vial France 27 908 879 653 319 279 115 2.6k
Min Zhang China 36 692 0.8× 1.4k 1.5× 1.2k 1.8× 497 1.6× 551 2.0× 213 4.4k
Evaristo Ballesteros Spain 35 727 0.8× 1.2k 1.4× 1.2k 1.8× 617 1.9× 262 0.9× 103 4.1k
Amparo Salvador Spain 33 677 0.7× 907 1.0× 1.9k 2.8× 221 0.7× 273 1.0× 138 4.1k
Alberto N. Araújo Portugal 31 615 0.7× 865 1.0× 1.1k 1.7× 603 1.9× 384 1.4× 150 4.4k
Nelson Torto South Africa 30 325 0.4× 614 0.7× 683 1.0× 341 1.1× 347 1.2× 134 2.7k
Maria Concetta Bruzzoniti Italy 30 573 0.6× 432 0.5× 956 1.5× 175 0.5× 405 1.5× 118 2.7k
Valérie Camel France 25 612 0.7× 519 0.6× 1.3k 1.9× 259 0.8× 165 0.6× 54 3.4k
Hong‐zhen Lian China 37 853 0.9× 754 0.9× 1.1k 1.6× 863 2.7× 664 2.4× 190 4.6k
Morteza Bahram Iran 26 634 0.7× 437 0.5× 1.6k 2.4× 226 0.7× 231 0.8× 105 2.8k
M.C.B.S.M. Montenegro Portugal 31 607 0.7× 1000 1.1× 1.2k 1.8× 588 1.8× 492 1.8× 163 5.2k

Countries citing papers authored by Jérôme Vial

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Vial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Vial

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Vial. A scholar is included among the top collaborators of Jérôme Vial 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 Jérôme Vial. Jérôme Vial is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dugay, José, et al.. (2024). Body Volatilome Study Strategy for COVID-19 Biomarker Identification Considering Exogenous Parameters. Separations. 11(12). 336–336. 1 indexed citations
2.
3.
Dugay, José, et al.. (2023). State‐of‐the‐art and challenges in the analysis of renewable gases. Journal of Separation Science. 46(19). e2300330–e2300330. 3 indexed citations
4.
Ricoul, Florence, et al.. (2018). Miniaturization of breath sampling with silicon chip: application to volatile tobacco markers tracking. Journal of Breath Research. 12(4). 46011–46011. 5 indexed citations
5.
Rivals, Isabelle, et al.. (2017). Sampling method development and optimization in view of human hand odor analysis by thermal desorption coupled with gas chromatography and mass spectrometry. Analytical and Bioanalytical Chemistry. 409(21). 5113–5124. 7 indexed citations
6.
Bayard, Rémy, et al.. (2017). Comprehensive two-dimensional gas chromatography for biogas and biomethane analysis. Journal of Chromatography A. 1524. 222–232. 26 indexed citations
7.
8.
Dispas, Amandine, Philippe Hubert, Ramia Al Bakain, et al.. (2016). A chemometric approach to model the retention behaviour in Supercritical Fluid Chromatography.. Open Repository and Bibliography (University of Liège). 1 indexed citations
9.
Vial, Jérôme, Patrick Sassiat, Didier Thiébaut, et al.. (2016). An overview of recent developments in volatile compounds analysis from edible oils: Technique‐oriented perspectives. European Journal of Lipid Science and Technology. 118(12). 1853–1879. 36 indexed citations
10.
Vial, Jérôme, Patrick Sassiat, Didier Thiébaut, et al.. (2015). Analysis of target volatile compounds related to fishy off‐flavor in heated rapeseed oil: A comparative study of different headspace techniques. European Journal of Lipid Science and Technology. 118(6). 906–918. 18 indexed citations
11.
Thiébaut, Didier, et al.. (2015). Feasibility of the preparation of silica monoliths for gas chromatography: Fast separation of light hydrocarbons. Journal of Chromatography A. 1383. 127–133. 16 indexed citations
12.
Combès, Audrey, et al.. (2014). Development of an analytical procedure for quantifying the underivatized neurotoxin β-N-methylamino-l-alanine in brain tissues. Analytical and Bioanalytical Chemistry. 406(19). 4627–4636. 17 indexed citations
13.
Thiébaut, Didier, et al.. (2012). Feasability of neat carbon dioxide packed column comprehensive two dimensional supercritical fluid chromatography. Journal of Chromatography A. 1255. 252–258. 12 indexed citations
14.
Dispas, Amandine, Pierre Lebrun, Patrick Sassiat, et al.. (2012). Innovative green supercritical fluid chromatography development for the determination of polar compounds. Journal of Chromatography A. 1256. 253–260. 27 indexed citations
15.
Bakain, Ramia Al, Isabelle Rivals, Patrick Sassiat, et al.. (2011). Comparison of different statistical approaches to evaluate the orthogonality of chromatographic separations: Application to reverse phase systems. Journal of Chromatography A. 1218(20). 2963–2975. 43 indexed citations
16.
Delaunay, Nathalie, et al.. (2010). Identification and determination of inorganic anions in real extracts from pre- and post-blast residues by capillary electrophoresis. Journal of Chromatography A. 1217(44). 6971–6978. 41 indexed citations
17.
18.
Destandau, Émilie, et al.. (2006). Robustness study of a reversed-phase liquid chromatographic method for the analysis of carboxylic acids in industrial reaction mixtures. Analytica Chimica Acta. 572(1). 102–112. 9 indexed citations
19.
Vial, Jérôme, et al.. (2006). An interlaboratory study to evaluate potential matrix reference materials for herbicides in water. Journal of Chromatography A. 1134(1-2). 151–161. 4 indexed citations
20.
Dugay, José, et al.. (2003). Use of solid-phase microextraction coupled with gas chromatography for the determination of residual solvents in pharmaceutical products. Journal of Chromatography A. 999(1-2). 195–201. 40 indexed citations

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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