Vasily Ershov

1.3k citations
4 papers · 10 indexed · h-index 3
Topics
Phytoplasmas and Hemiptera pathogens (1 paper)Advanced Image and Video Retrieval Techniques (1 paper)Engineering Technology and Methodologies (1 paper)
Journals
Journal of Computational BiologyNeural Information Processing SystemsIOP Conference Series Materials Science and Engineering
Partner nations
RussiaGermany

In The Last Decade

Vasily Ershov

4 papers receiving 10 citations

Peers

Vasily Ershov
Comparison fields: 5 of 15
  • Molecular Biology 3
  • Artificial Intelligence 3
  • Management Science and Operations Research 2
  • Mechanical Engineering 2
  • Pharmacology 1
Replace Milica Aleksić with:
Milica Aleksić Serbia
D. H. Wei China
F. Wick Germany
X. Kui China
Adit Anand United States
Lav P. Patel United States
Z. Yan China
Fabian Both Germany
Shanya Sharma Australia
G. Kasieczka Switzerland
Vasily Ershov relative to Milica Aleksić Serbia Milica Aleksić's profile →
Citations per field
00.5×1.5×
Milica Aleksić · 1×
Citations per year

Countries citing papers authored by Vasily Ershov

Since Specialization
Citations

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

Fields of papers citing papers by Vasily Ershov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasily Ershov

This figure shows the co-authorship network connecting the top 25 collaborators of Vasily Ershov. A scholar is included among the top collaborators of Vasily Ershov 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 Vasily Ershov. Vasily Ershov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
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2 2
3
MonoForest framework for tree ensemble analysis
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4 4

About Vasily Ershov

Vasily Ershov is a scholar working on Industrial and Manufacturing Engineering, Renewable Energy, Sustainability and the Environment and Computer Vision and Pattern Recognition, having authored 4 papers that have together received 10 indexed citations. Recurring topics across this work include Phytoplasmas and Hemiptera pathogens (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Engineering Technology and Methodologies (1 paper). The work is most often cited by research in Molecular Medicine (1 citation), Management Science and Operations Research (2 citations) and Industrial and Manufacturing Engineering (1 citation). Vasily Ershov has collaborated with scholars based in Russia and Germany. Frequent co-authors include Anton Korobeynikov, Alla Lapidus, Artem Tarasov, V E Gozbenko and А И Карлина. Their work appears in journals such as Journal of Computational Biology, Neural Information Processing Systems and IOP Conference Series Materials Science and Engineering.

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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