Yulia Dodonova

487 total citations
5 papers, 281 citations indexed

About

Yulia Dodonova is a scholar working on Cognitive Neuroscience, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yulia Dodonova has authored 5 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yulia Dodonova's work include Functional Brain Connectivity Studies (3 papers), AI in cancer detection (1 paper) and Neural dynamics and brain function (1 paper). Yulia Dodonova is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), AI in cancer detection (1 paper) and Neural dynamics and brain function (1 paper). Yulia Dodonova collaborates with scholars based in Russia. Yulia Dodonova's co-authors include Mikhail Belyaev, Sergey Korolev, Leonid Zhukov, Anvar Kurmukov and Anna Tkachev and has published in prestigious journals such as .

In The Last Decade

Yulia Dodonova

5 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yulia Dodonova Russia	3	167	128	82	78	66	5	281
Sergey Korolev Russia	3	167 1.0×	127 1.0×	82 1.0×	78 1.0×	66 1.0×	4	278
Yechong Huang China	5	150 0.9×	111 0.9×	86 1.0×	73 0.9×	81 1.2×	6	289
Farheen Ramzan Pakistan	5	180 1.1×	136 1.1×	69 0.8×	96 1.2×	89 1.3×	7	387
Wenyong Zhu China	4	163 1.0×	168 1.3×	74 0.9×	84 1.1×	72 1.1×	5	334
Yonggui Yang China	7	144 0.9×	111 0.9×	103 1.3×	61 0.8×	111 1.7×	16	355
Kanghan Oh South Korea	9	140 0.8×	157 1.2×	100 1.2×	126 1.6×	94 1.4×	19	461
Jiahang Xu China	5	116 0.7×	82 0.6×	69 0.8×	51 0.7×	50 0.8×	10	226
Marcia Hon Canada	2	182 1.1×	133 1.0×	74 0.9×	70 0.9×	43 0.7×	2	281
Ammarah Farooq United Kingdom	7	123 0.7×	96 0.8×	51 0.6×	189 2.4×	35 0.5×	7	352
Nguyen Thanh Duc South Korea	10	113 0.7×	142 1.1×	73 0.9×	85 1.1×	138 2.1×	16	557

Countries citing papers authored by Yulia Dodonova

Since Specialization

Citations

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

Fields of papers citing papers by Yulia Dodonova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Dodonova

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

All Works

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5 of 5 papers shown

1.

Korolev, Sergey, et al.. (2017). Residual and plain convolutional neural networks for 3D brain MRI classification. 835–838. 273 indexed citations

2.

Dodonova, Yulia, et al.. (2016). Boosting connectome classification via combination of geometric and topological normalizations. 126. 1–4. 3 indexed citations

3.

Kurmukov, Anvar, Yulia Dodonova, & Leonid Zhukov. (2016). Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. 11. 107–112. 2 indexed citations

4.

Dodonova, Yulia, et al.. (2016). Classification of structural brain networks based on information divergence of graph spectra. 39. 1–6. 2 indexed citations

5.

Dodonova, Yulia, et al.. (2015). Differences in Structural Connectomes between Typically Developing and Autism Groups. 1–15. 1 indexed citations

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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