Jerzy Popenda

43 total papers · 635 total citations
36 papers, 410 citations indexed

About

Jerzy Popenda is a scholar working on Applied Mathematics, Public Health, Environmental and Occupational Health and Numerical Analysis. According to data from OpenAlex, Jerzy Popenda has authored 36 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Applied Mathematics, 22 papers in Public Health, Environmental and Occupational Health and 14 papers in Numerical Analysis. Recurrent topics in Jerzy Popenda's work include Nonlinear Differential Equations Analysis (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers) and Differential Equations and Numerical Methods (12 papers). Jerzy Popenda is often cited by papers focused on Nonlinear Differential Equations Analysis (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers) and Differential Equations and Numerical Methods (12 papers). Jerzy Popenda collaborates with scholars based in Poland and Singapore. Jerzy Popenda's co-authors include Ravi P. Agarwal, Ewa Schmeidel, Ewa Magnucka‐Blandzi, M. Suffczyński, H.W. Kunert and S. McKee and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Computers & Mathematics with Applications and Journal of Computational and Applied Mathematics.

In The Last Decade

Jerzy Popenda

30 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Jerzy Popenda	338	201	159	85	58	36	410
Yuantong Xu	322 1.0×	192 1.0×	125 0.8×	66 0.8×	70 1.2×	39	431
Hongjian Xi	278 0.8×	85 0.4×	215 1.4×	151 1.8×	45 0.8×	52	369
You-Hui Su	304 0.9×	140 0.7×	106 0.7×	70 0.8×	132 2.3×	51	397
M. Victoria Otero‐Espinar	365 1.1×	220 1.1×	68 0.4×	67 0.8×	134 2.3×	41	495
I.K. Purnaras	375 1.1×	277 1.4×	153 1.0×	45 0.5×	110 1.9×	47	427
Taixiang Sun	268 0.8×	98 0.5×	190 1.2×	130 1.5×	54 0.9×	62	392
Ewa Schmeidel	330 1.0×	173 0.9×	189 1.2×	47 0.6×	104 1.8×	63	384
B.G. Zhang	389 1.2×	304 1.5×	191 1.2×	41 0.5×	58 1.0×	31	456
Binggen Zhang	322 1.0×	205 1.0×	107 0.7×	50 0.6×	66 1.1×	30	379
Yuhua Long	330 1.0×	183 0.9×	85 0.5×	45 0.5×	22 0.4×	46	384

Countries citing papers authored by Jerzy Popenda

Since Specialization

Citations

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

Fields of papers citing papers by Jerzy Popenda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerzy Popenda

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