György Vas

29 total papers · 3.2k total citations
16 papers, 2.1k citations indexed

About

György Vas is a scholar working on Spectroscopy, Analytical Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, György Vas has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 7 papers in Analytical Chemistry and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in György Vas's work include Analytical chemistry methods development (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Atmospheric chemistry and aerosols (4 papers). György Vas is often cited by papers focused on Analytical chemistry methods development (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Atmospheric chemistry and aerosols (4 papers). György Vas collaborates with scholars based in United States, Belgium and Hungary. György Vas's co-authors include Károly Vékey, Magda Claeys, Reinhilde Vermeylen, Willy Maenhaut, V. A. Pashynska, Paulo Artaxo, Meinrat O. Andreae, Jan Cafmeyer, Wu Wang and Bim Graham and has published in prestigious journals such as Science, Journal of Clinical Investigation and Analytical Chemistry.

In The Last Decade

György Vas

15 papers receiving 2.0k citations

Hit Papers

Formation of Secondary Or... 2004 2026 2011 2018 2004 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
György Vas 1.3k 841 492 273 249 16 2.1k
R. J. Maggs 837 0.6× 424 0.5× 351 0.7× 592 2.2× 210 0.8× 18 2.2k
Bo Larsen 667 0.5× 941 1.1× 141 0.3× 392 1.4× 141 0.6× 34 1.9k
Regina M.B.O. Duarte 966 0.7× 712 0.8× 286 0.6× 262 1.0× 74 0.3× 61 1.8k
Tomas Alsberg 699 0.5× 1.7k 2.0× 273 0.6× 263 1.0× 66 0.3× 60 2.7k
Massimiliano Frattoni 1.7k 1.3× 731 0.9× 684 1.4× 181 0.7× 1.2k 4.6× 50 2.7k
E. Brancaleoni 1.9k 1.4× 869 1.0× 738 1.5× 287 1.1× 1.3k 5.1× 62 3.1k
Christine Baduel 960 0.7× 1.7k 2.0× 248 0.5× 68 0.2× 184 0.7× 42 2.5k
E. Kleist 1.9k 1.5× 1.5k 1.8× 719 1.5× 178 0.7× 734 2.9× 45 3.0k
Herbert J. Tobias 1.2k 0.9× 1.0k 1.2× 330 0.7× 360 1.3× 36 0.1× 45 2.3k
M. Judith Charles 558 0.4× 1.5k 1.8× 169 0.3× 275 1.0× 54 0.2× 57 2.3k

Countries citing papers authored by György Vas

Since Specialization
Citations

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

Fields of papers citing papers by György Vas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of György Vas

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