S. V. Dzyadevich

12 total papers · 417 total citations
10 papers, 317 citations indexed

About

S. V. Dzyadevich is a scholar working on Bioengineering, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, S. V. Dzyadevich has authored 10 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Bioengineering, 7 papers in Electrical and Electronic Engineering and 4 papers in Electrochemistry. Recurrent topics in S. V. Dzyadevich's work include Analytical Chemistry and Sensors (9 papers), Electrochemical sensors and biosensors (7 papers) and Electrochemical Analysis and Applications (4 papers). S. V. Dzyadevich is often cited by papers focused on Analytical Chemistry and Sensors (9 papers), Electrochemical sensors and biosensors (7 papers) and Electrochemical Analysis and Applications (4 papers). S. V. Dzyadevich collaborates with scholars based in Ukraine, Germany and Switzerland. S. V. Dzyadevich's co-authors include A. V. El’skaya, А. П. Солдаткин, Yaroslav I. Korpan, А.А. Шульга, C. Martelet, В. И. Стриха, Sergiy Patskovsky, Alexey P. Soldatkin, Nicole Jaffrézic‐Renault and P. Cléchet and has published in prestigious journals such as Analytical Chemistry, Analytica Chimica Acta and Biosensors and Bioelectronics.

In The Last Decade

S. V. Dzyadevich

10 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
S. V. Dzyadevich	239	220	111	106	100	10	317
Rajinder S. Sethi	210 0.9×	193 0.9×	95 0.9×	181 1.7×	102 1.0×	10	357
Jozef Švorc	253 1.1×	168 0.8×	128 1.2×	101 1.0×	97 1.0×	14	354
G. S. Sanghera	237 1.0×	115 0.5×	155 1.4×	48 0.5×	110 1.1×	13	315
Xing Pei	181 0.8×	181 0.8×	246 2.2×	104 1.0×	67 0.7×	13	343
David Hernández Santos	225 0.9×	131 0.6×	218 2.0×	92 0.9×	59 0.6×	7	342
Elisabeth Burestedt	254 1.1×	102 0.5×	192 1.7×	90 0.8×	100 1.0×	9	358
Hua Tang	193 0.8×	114 0.5×	135 1.2×	114 1.1×	180 1.8×	8	361
Walter Vastarella	263 1.1×	73 0.3×	138 1.2×	70 0.7×	142 1.4×	14	349
Albrecht Uhlig	204 0.9×	167 0.8×	140 1.3×	124 1.2×	43 0.4×	14	350
Ian Seymour	90 0.4×	116 0.5×	97 0.9×	84 0.8×	71 0.7×	19	267

Countries citing papers authored by S. V. Dzyadevich

Since Specialization

Citations

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

Fields of papers citing papers by S. V. Dzyadevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Dzyadevich. 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 S. V. Dzyadevich. The network helps show where S. V. Dzyadevich may publish in the future.

Co-authorship network of co-authors of S. V. Dzyadevich

This figure shows the co-authorship network connecting the top 25 collaborators of S. V. Dzyadevich. A scholar is included among the top collaborators of S. V. Dzyadevich 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 S. V. Dzyadevich. S. V. Dzyadevich 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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