Maria Shchepashchenko

15 total papers · 470 total citations
5 papers, 189 citations indexed

About

Maria Shchepashchenko is a scholar working on Global and Planetary Change, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maria Shchepashchenko has authored 5 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Global and Planetary Change, 3 papers in Ecology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Maria Shchepashchenko's work include Remote Sensing in Agriculture (3 papers), Land Use and Ecosystem Services (2 papers) and Forest Management and Policy (2 papers). Maria Shchepashchenko is often cited by papers focused on Remote Sensing in Agriculture (3 papers), Land Use and Ecosystem Services (2 papers) and Forest Management and Policy (2 papers). Maria Shchepashchenko collaborates with scholars based in Austria, Russia and Ukraine. Maria Shchepashchenko's co-authors include А. Shvidenko, Florian Kraxner, Dmitry Schepaschenko, Myroslava Lesiv, Petr Ontikov, Elena Moltchanova, Linda See, Steffen Fritz, О. В. Мартыненко and Martina Dürauer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Scientific Data.

In The Last Decade

Maria Shchepashchenko

4 papers receiving 164 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Shchepashchenko 113 56 30 28 27 5 189
Piyush Mehta 112 1.0× 60 1.1× 23 0.8× 21 0.8× 27 1.0× 7 254
O. Watts 102 0.9× 78 1.4× 46 1.5× 53 1.9× 18 0.7× 7 267
Martina Chidiak 116 1.0× 57 1.0× 36 1.2× 21 0.8× 23 0.9× 6 274
Tanya Warnaars 108 1.0× 46 0.8× 27 0.9× 31 1.1× 18 0.7× 10 277
Myanmar 88 0.8× 34 0.6× 21 0.7× 21 0.8× 21 0.8× 12 226
Kesari Singh 169 1.5× 62 1.1× 48 1.6× 18 0.6× 26 1.0× 10 275
Monica Noon 154 1.4× 95 1.7× 15 0.5× 41 1.5× 26 1.0× 7 248
André Jol 102 0.9× 25 0.4× 33 1.1× 9 0.3× 17 0.6× 6 213
T. J. Wilbanks 178 1.6× 66 1.2× 25 0.8× 24 0.9× 23 0.9× 4 286
Sophia Burke 119 1.1× 32 0.6× 15 0.5× 12 0.4× 18 0.7× 10 195

Countries citing papers authored by Maria Shchepashchenko

Since Specialization
Citations

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

Fields of papers citing papers by Maria Shchepashchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Shchepashchenko

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