Patrick Gaillard

31 papers receiving 1.5k citations

Peers

Patrick Gaillard
Comparison fields: 5 of 113
  • Fluid Flow and Transfer Processes 254
  • Computational Theory and Mathematics 400
  • Filtration and Separation 50
  • Spectroscopy 340
  • Automotive Engineering 153
Replace Toshihiko Hanai with:
Toshihiko Hanai Japan
Mohammad A. A. Fakhree Iran
Yuan Zhao China
Dimitar A. Dobchev Estonia
Taravat Ghafourian United Kingdom
Minati Kuanar United States
Svetoslav Slavov United States
C. Dennis Hall United States
Mihalj Poša Serbia
Naoki Asakawa Japan
Patrick Gaillard relative to Toshihiko Hanai Japan Toshihiko Hanai's profile →
Citations per field
00.5×10×15×21.9×
Toshihiko Hanai · 1×
Citations per year

Countries citing papers authored by Patrick Gaillard

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Gaillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Gaillard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Gaillard Line = papers co-authored together Patrick Gaillard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994233
2 1996127
3 1997120
4 199890
5 201580
6 199973
7 200168
8 199667
9 199765
10 199762
11 199552
12 199450
13 201947
14 202047
15 201542
16 199637
17 199535
18 199231
19 200129
20 202025

About Patrick Gaillard

Patrick Gaillard is a scholar working on Fluid Flow and Transfer Processes, Filtration and Separation, Automotive Engineering, Computational Theory and Mathematics and Spectroscopy, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (11 papers), Computational Drug Discovery Methods (10 papers), Vehicle emissions and performance (9 papers), Analytical Chemistry and Chromatography (8 papers), Catalytic Processes in Materials Science (5 papers), Free Radicals and Antioxidants (4 papers), Protein Structure and Dynamics (4 papers) and Chemical and Physical Properties in Aqueous Solutions (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (254 citations), Computational Theory and Mathematics (400 citations), Filtration and Separation (50 citations), Spectroscopy (340 citations) and Automotive Engineering (153 citations). Patrick Gaillard has collaborated with scholars based in Switzerland, France and Spain. Frequent co-authors include Pierre‐Alain Carrupt, Bernard Testa, Giulia Caron, Alain Boudon, Alessandra Pagliara, Javier Monsalve‐Serrano, Antonio García, P. Weber, Santiago Martínez-Boggio and Lowell H. Hall. Their work appears in journals such as Helvetica Chimica Acta, Applied Energy, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Medicinal Chemistry and Pharmaceutical Research.

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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