Vadym Prokopec

18 total papers · 491 total citations
17 papers, 419 citations indexed

About

Vadym Prokopec is a scholar working on Electronic, Optical and Magnetic Materials, Biomedical Engineering and Electrochemistry. According to data from OpenAlex, Vadym Prokopec has authored 17 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electronic, Optical and Magnetic Materials, 6 papers in Biomedical Engineering and 5 papers in Electrochemistry. Recurrent topics in Vadym Prokopec's work include Gold and Silver Nanoparticles Synthesis and Applications (9 papers), Electrochemical Analysis and Applications (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). Vadym Prokopec is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (9 papers), Electrochemical Analysis and Applications (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). Vadym Prokopec collaborates with scholars based in Czechia and Belgium. Vadym Prokopec's co-authors include Pavel Matějka, Marcela Dendisová, M. Člupek, Marie Švecová, Jitka Čejková, František Štĕpánek, Mandeep Singh, P. Svoboda, Pavel Ulbrich and E. Šantavá and has published in prestigious journals such as Analytica Chimica Acta, International Journal of Pharmaceutics and Applied Surface Science.

In The Last Decade

Vadym Prokopec

17 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Vadym Prokopec	201	145	139	68	56	17	419
Muhammad Haroon	156 0.8×	146 1.0×	97 0.7×	31 0.5×	132 2.4×	23	383
Borong Yu	168 0.8×	175 1.2×	115 0.8×	23 0.3×	66 1.2×	21	463
Marie Švecová	117 0.6×	167 1.2×	114 0.8×	22 0.3×	36 0.6×	29	377
Sheenam Thatai	182 0.9×	178 1.2×	187 1.3×	62 0.9×	128 2.3×	14	440
Eduardo López‐Tobar	119 0.6×	141 1.0×	61 0.4×	18 0.3×	95 1.7×	17	411
C. Garrido	214 1.1×	119 0.8×	90 0.6×	19 0.3×	180 3.2×	21	485
Fansheng Cheng	292 1.5×	136 0.9×	272 2.0×	23 0.3×	158 2.8×	12	480
Qinglu Chen	308 1.5×	181 1.2×	208 1.5×	17 0.3×	121 2.2×	12	420
Zheng Wu	280 1.4×	231 1.6×	166 1.2×	17 0.3×	104 1.9×	18	444
Shaona Chen	139 0.7×	139 1.0×	147 1.1×	36 0.5×	69 1.2×	10	380

Countries citing papers authored by Vadym Prokopec

Since Specialization

Citations

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

Fields of papers citing papers by Vadym Prokopec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadym Prokopec

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