Yury Luchko

31 total papers · 2.0k total citations
20 papers, 1.5k citations indexed

About

Yury Luchko is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Yury Luchko has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 10 papers in Applied Mathematics and 9 papers in Numerical Analysis. Recurrent topics in Yury Luchko's work include Fractional Differential Equations Solutions (14 papers), Differential Equations and Numerical Methods (7 papers) and Nonlinear Differential Equations Analysis (7 papers). Yury Luchko is often cited by papers focused on Fractional Differential Equations Solutions (14 papers), Differential Equations and Numerical Methods (7 papers) and Nonlinear Differential Equations Analysis (7 papers). Yury Luchko collaborates with scholars based in Germany, United States and Iran. Yury Luchko's co-authors include R. Hilfer, Shahrokh Esmaeili, M. Shamsi, Juan J. Trujillo, Kai Diethelm, Alan D. Freed, M. Rivero, M. Pilar Velasco, V. V. Gafiychuk and Dumitru Bǎleanu and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Computers & Mathematics with Applications and International Journal of Bifurcation and Chaos.

In The Last Decade

Yury Luchko

20 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Yury Luchko 1.3k 809 690 347 267 20 1.5k
Walter Wyss 1.3k 1.0× 667 0.8× 505 0.7× 345 1.0× 171 0.6× 20 1.6k
Bogoljub Stanković 767 0.6× 310 0.4× 384 0.6× 310 0.9× 130 0.5× 54 1.1k
Yumin Lin 1.4k 1.1× 1.2k 1.5× 319 0.5× 492 1.4× 112 0.4× 9 1.6k
Mohsen Zayernouri 1.3k 1.0× 901 1.1× 326 0.5× 422 1.2× 72 0.3× 54 1.6k
Nasrin Samadyar 1.1k 0.8× 657 0.8× 368 0.5× 215 0.6× 61 0.2× 39 1.3k
Ülo Lepik 1.0k 0.7× 704 0.9× 300 0.4× 492 1.4× 89 0.3× 51 1.6k
Anatoly A. Alikhanov 1.0k 0.8× 954 1.2× 357 0.5× 252 0.7× 43 0.2× 42 1.2k
Imran Aziz 897 0.7× 731 0.9× 247 0.4× 405 1.2× 71 0.3× 34 1.3k
Khaled M. Furati 1.0k 0.8× 446 0.6× 669 1.0× 127 0.4× 85 0.3× 68 1.2k
K. Abbaoui 1.2k 0.9× 935 1.2× 275 0.4× 183 0.5× 77 0.3× 23 1.6k

Countries citing papers authored by Yury Luchko

Since Specialization
Citations

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

Fields of papers citing papers by Yury Luchko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yury Luchko

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