Szilárd Csaba László

72 total papers · 484 total citations
26 papers, 265 citations indexed

About

Szilárd Csaba László is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Szilárd Csaba László has authored 26 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Theory and Mathematics, 17 papers in Mathematical Physics and 9 papers in Applied Mathematics. Recurrent topics in Szilárd Csaba László's work include Optimization and Variational Analysis (25 papers), Numerical methods in inverse problems (15 papers) and Sparse and Compressive Sensing Techniques (7 papers). Szilárd Csaba László is often cited by papers focused on Optimization and Variational Analysis (25 papers), Numerical methods in inverse problems (15 papers) and Sparse and Compressive Sensing Techniques (7 papers). Szilárd Csaba László collaborates with scholars based in Romania, Austria and France. Szilárd Csaba László's co-authors include Radu Ioan Boţ, Ernö Robert Csetnek, Hédy Attouch and G. Kassay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Szilárd Csaba László

24 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Szilárd Csaba László 201 115 111 102 35 26 265
A. Kaplan 242 1.2× 80 0.7× 58 0.5× 198 1.9× 27 0.8× 39 302
Hung M. Phan 265 1.3× 48 0.4× 117 1.1× 222 2.2× 35 1.0× 22 322
Dmitriy Drusvyatskiy 202 1.0× 33 0.3× 110 1.0× 163 1.6× 39 1.1× 37 316
Marc-Olivier Czarnecki 272 1.4× 127 1.1× 94 0.8× 131 1.3× 55 1.6× 20 318
Jefferson G. Melo 180 0.9× 38 0.3× 148 1.3× 214 2.1× 12 0.3× 26 289
Jean Descloux 194 1.0× 68 0.6× 191 1.7× 88 0.9× 44 1.3× 18 323
Patrick Mehlitz 179 0.9× 31 0.3× 38 0.3× 128 1.3× 29 0.8× 38 230
Jianchao Bai 123 0.6× 42 0.4× 177 1.6× 117 1.1× 17 0.5× 36 293
Erik Alex Papa Quiroz 255 1.3× 28 0.2× 55 0.5× 212 2.1× 29 0.8× 36 303
Jing Liu 82 0.4× 47 0.4× 119 1.1× 140 1.4× 11 0.3× 43 328

Countries citing papers authored by Szilárd Csaba László

Since Specialization
Citations

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

Fields of papers citing papers by Szilárd Csaba László

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Szilárd Csaba László. 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 Szilárd Csaba László. The network helps show where Szilárd Csaba László may publish in the future.

Co-authorship network of co-authors of Szilárd Csaba László

This figure shows the co-authorship network connecting the top 25 collaborators of Szilárd Csaba László. A scholar is included among the top collaborators of Szilárd Csaba László 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 Szilárd Csaba László. Szilárd Csaba László 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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