Nina Vlachy

12 total papers · 898 total citations
10 papers, 826 citations indexed

About

Nina Vlachy is a scholar working on Organic Chemistry, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nina Vlachy has authored 10 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 5 papers in Spectroscopy and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nina Vlachy's work include Surfactants and Colloidal Systems (10 papers), Analytical Chemistry and Chromatography (5 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Nina Vlachy is often cited by papers focused on Surfactants and Colloidal Systems (10 papers), Analytical Chemistry and Chromatography (5 papers) and Spectroscopy and Quantum Chemical Studies (4 papers). Nina Vlachy collaborates with scholars based in Germany, Slovenia and Spain. Nina Vlachy's co-authors include Werner Kunz, Didier Touraud, Barbara Jagoda‐Cwiklik, Pavel Jungwirth, Robert Vácha, Markus Drechsler, Jean‐Marc Verbavatz, Jörg Heilmann, A. Renoncourt and Barry W. Ninham and has published in prestigious journals such as The Journal of Physical Chemistry B, Langmuir and Journal of Colloid and Interface Science.

In The Last Decade

Nina Vlachy

10 papers receiving 817 citations

Author Peers

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

Author Last Decade Papers Cites
Nina Vlachy 495 277 177 169 137 10 826
Manoj Varshney 454 0.9× 175 0.6× 206 1.2× 153 0.9× 116 0.8× 23 887
W. Binana-Limbelé 658 1.3× 144 0.5× 291 1.6× 96 0.6× 153 1.1× 18 752
Kenzabu Tasaki 318 0.6× 215 0.8× 158 0.9× 209 1.2× 218 1.6× 19 879
Y. Talmon 621 1.3× 204 0.7× 259 1.5× 138 0.8× 114 0.8× 13 754
Gargi Basu Ray 701 1.4× 90 0.3× 242 1.4× 213 1.3× 154 1.1× 11 940
Honglan Fu 815 1.6× 149 0.5× 151 0.9× 317 1.9× 163 1.2× 21 990
J. S. Clunie 532 1.1× 183 0.7× 179 1.0× 103 0.6× 145 1.1× 22 754
P. Marie 507 1.0× 127 0.5× 157 0.9× 119 0.7× 103 0.8× 15 906
Dalila Bendedouch 387 0.8× 192 0.7× 175 1.0× 146 0.9× 100 0.7× 26 1.0k
L.A.M. Rupert 506 1.0× 332 1.2× 165 0.9× 195 1.2× 66 0.5× 12 804

Countries citing papers authored by Nina Vlachy

Since Specialization
Citations

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

Fields of papers citing papers by Nina Vlachy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Vlachy

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Vlachy. A scholar is included among the top collaborators of Nina Vlachy 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 Nina Vlachy. Nina Vlachy 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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