Ágnes Szécsényi

12 total papers · 1.2k total citations
9 papers, 1.0k citations indexed

About

Ágnes Szécsényi is a scholar working on Materials Chemistry, Catalysis and Inorganic Chemistry. According to data from OpenAlex, Ágnes Szécsényi has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Catalysis and 5 papers in Inorganic Chemistry. Recurrent topics in Ágnes Szécsényi's work include Catalysis and Oxidation Reactions (5 papers), Catalytic Processes in Materials Science (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Ágnes Szécsényi is often cited by papers focused on Catalysis and Oxidation Reactions (5 papers), Catalytic Processes in Materials Science (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). Ágnes Szécsényi collaborates with scholars based in Netherlands, Saudi Arabia and Russia. Ágnes Szécsényi's co-authors include Jorge Gascón, Evgeny A. Pidko, Emiel J. M. Hensen, Alma I. Olivos Suarez, Javier Ruiz-Martı́nez, Guanna Li, Matvey V. Fedin, Maxim Nasalevich, Gopinathan Sankar and Dmitrii Osadchii and has published in prestigious journals such as ACS Catalysis, Journal of Catalysis and Chemical Science.

In The Last Decade

Ágnes Szécsényi

9 papers receiving 1.0k citations

Hit Papers

Strategies for the Direct... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ágnes Szécsényi 832 590 472 228 80 9 1.0k
Kimberly T. Dinh 749 0.9× 547 0.9× 360 0.8× 152 0.7× 73 0.9× 6 844
Sarah E. Specht 734 0.9× 526 0.9× 334 0.7× 80 0.4× 103 1.3× 7 836
Ulyana Zavyalova 884 1.1× 770 1.3× 179 0.4× 112 0.5× 92 1.1× 12 985
Evalyn Mae C. Alayon 1.1k 1.3× 831 1.4× 449 1.0× 217 1.0× 81 1.0× 16 1.2k
P. Fisicaro 704 0.8× 378 0.6× 407 0.9× 95 0.4× 112 1.4× 9 831
Nadia Acerbi 596 0.7× 262 0.4× 326 0.7× 203 0.9× 118 1.5× 11 826
Bart P. C. Hereijgers 857 1.0× 545 0.9× 421 0.9× 67 0.3× 124 1.6× 11 1.1k
Yadan Tang 703 0.8× 523 0.9× 406 0.9× 143 0.6× 61 0.8× 15 933
Kengo Aranishi 844 1.0× 450 0.8× 232 0.5× 228 1.0× 236 3.0× 12 1.0k
Joris Goetze 811 1.0× 568 1.0× 643 1.4× 113 0.5× 62 0.8× 8 1.1k

Countries citing papers authored by Ágnes Szécsényi

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Szécsényi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Szécsényi

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