Ágnes Révész

832 total citations
38 papers, 676 citations indexed

About

Ágnes Révész is a scholar working on Spectroscopy, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Ágnes Révész has authored 38 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Spectroscopy, 20 papers in Molecular Biology and 9 papers in Organic Chemistry. Recurrent topics in Ágnes Révész's work include Mass Spectrometry Techniques and Applications (17 papers), Advanced Proteomics Techniques and Applications (13 papers) and Analytical Chemistry and Chromatography (7 papers). Ágnes Révész is often cited by papers focused on Mass Spectrometry Techniques and Applications (17 papers), Advanced Proteomics Techniques and Applications (13 papers) and Analytical Chemistry and Chromatography (7 papers). Ágnes Révész collaborates with scholars based in Hungary, Czechia and France. Ágnes Révész's co-authors include Detlef Schröder, László Drahos, Károly Vékey, Tibor András Rokob, Judith Lee, Thomas G. Spiro, Jana Roithová, Jiří Šrogl, Bohumil Dolenský and Martin Havlík and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Analytical Chemistry.

In The Last Decade

Ágnes Révész

37 papers receiving 665 citations

Peers

Ágnes Révész
Comparison fields: 5 of 81
  • Spectroscopy 330
  • Molecular Biology 244
  • Organic Chemistry 223
  • Atomic and Molecular Physics, and Optics 94
  • Materials Chemistry 76
Replace Junfang Zhao with:
Junfang Zhao Canada
Kim J. Koch United States
Pierre Mutzenhardt France
André Thévand France
Uwe M. Reinscheid Germany
Giuseppe Saba Italy
Bernard Ancian France
Ágnes Gömöry Hungary
Houssain El Aribi Canada
Sven Gabriel Germany
Junfang Zhao Canada View profile →
Citations per field, relative to Ágnes Révész
Ágnes Révész · 1×
Citations per year, relative to Ágnes Révész
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Countries citing papers authored by Ágnes Révész

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Révész

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Révész

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Révész. A scholar is included among the top collaborators of Ágnes Révész 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 Ágnes Révész. Ágnes Révész 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
# Work Indexed citations
1 4
2 6
3 5
4 2
5 20
6 22
7 19
8 40
9 19
10 1
11 11
12 25
13 8
14 48
15 42
16 15
17 50
18 20
19 12
20 16

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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