Péter L. Várkonyi

114 total papers · 1.3k total citations
63 papers, 822 citations indexed

About

Péter L. Várkonyi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Péter L. Várkonyi has authored 63 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 9 papers in Control and Systems Engineering. Recurrent topics in Péter L. Várkonyi's work include Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Tensor decomposition and applications (5 papers). Péter L. Várkonyi is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Tensor decomposition and applications (5 papers). Péter L. Várkonyi collaborates with scholars based in Hungary, United States and Sweden. Péter L. Várkonyi's co-authors include G. Domokos, András Á. Sipos, Christopher Southan, Sorel Mureşan, Péter Bárányi, Péter Köröndi, James V. Bruckner, Yeung Yam, Thierry Kogej and Domonkos Tikk and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and The Astrophysical Journal.

In The Last Decade

Péter L. Várkonyi

60 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Péter L. Várkonyi	202	162	80	75	67	63	822
Rina Foygel Barber	22 0.1×	60 0.4×	29 0.4×	182 2.4×	6 0.1×	49	753
Karl‐Heinz Hoffmann	164 0.8×	32 0.2×	95 1.2×	63 0.8×	1 0.0×	60	1.0k
Daniel M. Dubois	86 0.4×	44 0.3×	46 0.6×	25 0.3×		102	776
Hitoshi Watanabe	67 0.3×	198 1.2×	52 0.7×	20 0.3×		123	1.0k
Zhong Li	30 0.1×	36 0.2×	74 0.9×	18 0.2×		56	848
Anirban Bhattacharya	34 0.2×	91 0.6×	37 0.5×	22 0.3×	35 0.5×	43	891
Peng Shan	32 0.2×	81 0.5×	80 1.0×	104 1.4×		87	993
Lock Yue Chew	77 0.4×	203 1.3×	18 0.2×	15 0.2×	1 0.0×	100	1.0k
Volkmar Liebscher	24 0.1×	439 2.7×	11 0.1×	45 0.6×	1 0.0×	63	1.0k
P. L. Antonelli	23 0.1×	113 0.7×	22 0.3×	28 0.4×	1 0.0×	116	1.0k

Countries citing papers authored by Péter L. Várkonyi

Since Specialization

Citations

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

Fields of papers citing papers by Péter L. Várkonyi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Péter L. Várkonyi. 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 Péter L. Várkonyi. The network helps show where Péter L. Várkonyi may publish in the future.

Co-authorship network of co-authors of Péter L. Várkonyi

This figure shows the co-authorship network connecting the top 25 collaborators of Péter L. Várkonyi. A scholar is included among the top collaborators of Péter L. Várkonyi 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 Péter L. Várkonyi. Péter L. Várkonyi 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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