P. Prešnajder

114 total papers · 2.6k total citations
58 papers, 1.5k citations indexed

About

P. Prešnajder is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, P. Prešnajder has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistical and Nonlinear Physics, 33 papers in Nuclear and High Energy Physics and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in P. Prešnajder's work include Black Holes and Theoretical Physics (28 papers), Noncommutative and Quantum Gravity Theories (24 papers) and Algebraic structures and combinatorial models (11 papers). P. Prešnajder is often cited by papers focused on Black Holes and Theoretical Physics (28 papers), Noncommutative and Quantum Gravity Theories (24 papers) and Algebraic structures and combinatorial models (11 papers). P. Prešnajder collaborates with scholars based in Slovakia, Finland and Czechia. P. Prešnajder's co-authors include Масуд Чайчиан, Anca Tureanu, Harald Grosse, M. M. Sheikh-Jabbari, Andrey Demichev, C. Klimčı́k, J. Pišút, Denjoe O’Connor, Brian P. Dolan and Ziemowit Popowicz and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nuclear Physics B.

In The Last Decade

P. Prešnajder

56 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
P. Prešnajder 1.3k 1.1k 398 390 335 58 1.5k
Jens Hoppe 855 0.6× 1.2k 1.1× 601 1.5× 274 0.7× 309 0.9× 80 1.7k
A. D’Adda 915 0.7× 1.9k 1.7× 442 1.1× 331 0.8× 536 1.6× 62 2.4k
Laurent Baulieu 1.0k 0.8× 1.9k 1.7× 448 1.1× 214 0.5× 473 1.4× 121 2.2k
Harald Grosse 856 0.7× 784 0.7× 248 0.6× 423 1.1× 227 0.7× 84 1.4k
Fedele Lizzi 943 0.7× 1.1k 1.0× 415 1.0× 196 0.5× 209 0.6× 95 1.4k
Sunil Mukhi 959 0.7× 1.7k 1.5× 839 2.1× 192 0.5× 575 1.7× 77 2.1k
Alexander Sevrin 813 0.6× 1.6k 1.4× 616 1.5× 251 0.6× 522 1.6× 81 1.9k
V. B. Petkova 597 0.5× 1.2k 1.0× 327 0.8× 145 0.4× 649 1.9× 46 1.6k
J. Nuyts 512 0.4× 1.2k 1.1× 280 0.7× 201 0.5× 289 0.9× 77 1.6k
Clay Córdova 618 0.5× 1.4k 1.2× 461 1.2× 463 1.2× 660 2.0× 50 1.9k

Countries citing papers authored by P. Prešnajder

Since Specialization
Citations

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

Fields of papers citing papers by P. Prešnajder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Prešnajder

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