Danielle Barth

59 papers receiving 1.3k citations

Peers

Danielle Barth
Comparison fields: 5 of 103
  • Process Chemistry and Technology 66
  • Catalysis 157
  • Biochemistry 108
  • Spectroscopy 256
  • Biomedical Engineering 629
Replace Elisabeth Badens with:
Elisabeth Badens France
R. Eggers Germany
Akio Kodama Japan
M. Perrut France
Mamata Mukhopadhyay India
Séverine Camy France
Jean‐Stéphane Condoret France
Jae-Duck Kim South Korea
Pascale Subra France
Vladimir Ferreira Cabral Brazil
Danielle Barth relative to Elisabeth Badens France Elisabeth Badens's profile →
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Citations per year

Countries citing papers authored by Danielle Barth

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Barth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Barth, 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 Danielle Barth Line = papers co-authored together Danielle Barth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198487
2 199282
3 198674
4 198867
5 201661
6 200059
7 200153
8 199442
9 201541
10 199541
11 201140
12 201340
13 201337
14 200436
15 201233
16 201733
17 199630
18 199330
19 201228
20 202028

About Danielle Barth

Danielle Barth is a scholar working on Biomedical Engineering, Spectroscopy, Mechanical Engineering, Molecular Biology and Food Science, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (30 papers), Carbon Dioxide Capture Technologies (11 papers), Analytical Chemistry and Chromatography (9 papers), Essential Oils and Antimicrobial Activity (9 papers), Membrane Separation and Gas Transport (7 papers), Chemical Thermodynamics and Molecular Structure (6 papers), Carbon dioxide utilization in catalysis (6 papers) and Adsorption, diffusion, and thermodynamic properties of materials (5 papers). The work is most often cited by research in Process Chemistry and Technology (66 citations), Catalysis (157 citations), Biochemistry (108 citations), Spectroscopy (256 citations) and Biomedical Engineering (629 citations). Danielle Barth has collaborated with scholars based in France, Tunisia and Brazil. Frequent co-authors include J.‐J. DELPUECH, C. Tondre, M. Perrut, Jean‐Noël Jaubert, Giovanna Della Porta, Ernesto Reverchon, Laurent Perrin, C. Corbier, Guy Branlant and Brigitte Jamart‐Grégoire. Their work appears in journals such as The Journal of Supercritical Fluids, Polymer, Industrial & Engineering Chemistry Research, Separation Science and Technology and International Journal of Chemical Kinetics.

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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