Natalja Čerkasova

49 total papers · 433 total citations
20 papers, 244 citations indexed

About

Natalja Čerkasova is a scholar working on Water Science and Technology, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Natalja Čerkasova has authored 20 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 8 papers in Environmental Chemistry and 6 papers in Global and Planetary Change. Recurrent topics in Natalja Čerkasova's work include Hydrology and Watershed Management Studies (16 papers), Soil and Water Nutrient Dynamics (8 papers) and Hydrological Forecasting Using AI (4 papers). Natalja Čerkasova is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Soil and Water Nutrient Dynamics (8 papers) and Hydrological Forecasting Using AI (4 papers). Natalja Čerkasova collaborates with scholars based in United States, Lithuania and Italy. Natalja Čerkasova's co-authors include Ali Ertürk, Georg Umgiesser, Jeffrey G. Arnold, Michael J. White, Ryan T. Bailey, Peter M. Allen, Katrin Bieger, Jungang Gao, Jovita Mėžinė and Jeremy T. White and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hydrology.

In The Last Decade

Natalja Čerkasova

18 papers receiving 235 citations

Author Peers

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

Author						Papers	Cites
Natalja Čerkasova	182	94	68	59	35	20	244
Thomas O. Barnwell	135 0.7×	74 0.8×	105 1.5×	72 1.2×	55 1.6×	17	327
Isabelle La Jeunesse	133 0.7×	122 1.3×	59 0.9×	49 0.8×	31 0.9×	13	291
T. Kroon	133 0.7×	138 1.5×	63 0.9×	52 0.9×	16 0.5×	16	279
Sébastien Raymond	123 0.7×	104 1.1×	46 0.7×	74 1.3×	25 0.7×	24	305
Daniel R. Wise	185 1.0×	65 0.7×	38 0.6×	102 1.7×	26 0.7×	19	289
Samuel J. Smidt	112 0.6×	87 0.9×	49 0.7×	34 0.6×	54 1.5×	22	303
Mohamed Elshemy	169 0.9×	62 0.7×	103 1.5×	38 0.6×	15 0.4×	22	301
David King Stevens	163 0.9×	63 0.7×	113 1.7×	53 0.9×	14 0.4×	23	281
P.G. Whitehead	213 1.2×	56 0.6×	46 0.7×	160 2.7×	17 0.5×	19	311
David J. Holtschlag	234 1.3×	65 0.7×	90 1.3×	97 1.6×	29 0.8×	30	304

Countries citing papers authored by Natalja Čerkasova

Since Specialization

Citations

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

Fields of papers citing papers by Natalja Čerkasova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalja Čerkasova

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