Sofya Chepushtanova

691 total citations
3 papers, 26 citations indexed

About

Sofya Chepushtanova is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry. According to data from OpenAlex, Sofya Chepushtanova has authored 3 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 2 papers in Analytical Chemistry. Recurrent topics in Sofya Chepushtanova's work include Spectroscopy and Chemometric Analyses (2 papers), Remote-Sensing Image Classification (2 papers) and Homotopy and Cohomology in Algebraic Topology (1 paper). Sofya Chepushtanova is often cited by papers focused on Spectroscopy and Chemometric Analyses (2 papers), Remote-Sensing Image Classification (2 papers) and Homotopy and Cohomology in Algebraic Topology (1 paper). Sofya Chepushtanova collaborates with scholars based in United States. Sofya Chepushtanova's co-authors include Michael Kirby, Christopher M. Gittins, Lori Ziegelmeier and Chris Peterson and has published in prestigious journals such as IEEE Geoscience and Remote Sensing Letters and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Sofya Chepushtanova

3 papers receiving 26 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sofya Chepushtanova United States	3	12	10	8	6	6	3	26
Ruixuan Luo China	4	6 0.5×	15 1.5×	21 2.6×		3 0.5×	5	33
Leonid Kostrykin Germany	3	3 0.3×	12 1.2×	12 1.5×	2 0.3×		3	19
Hagar Hussein Egypt	4	5 0.4×	14 1.4×	2 0.3×	7 1.2×		6	34
Imane Nedjar Algeria	4	2 0.2×	9 0.9×	8 1.0×	6 1.0×		8	33
Michel Deudon Netherlands	3	6 0.5×	6 0.6×	8 1.0×	1 0.2×		3	15
Anas Zafar Hong Kong	3	6 0.5×	5 0.5×	14 1.8×			4	18
R. Du China	3	3 0.3×	5 0.5×	9 1.1×	1 0.2×	2 0.3×	8	30
Wooyeong Cho South Korea	3	5 0.4×	5 0.5×	9 1.1×			7	17
Huan Huang China	3	12 1.0×	5 0.5×	22 2.8×			4	27

Countries citing papers authored by Sofya Chepushtanova

Since Specialization

Citations

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

Fields of papers citing papers by Sofya Chepushtanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofya Chepushtanova

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

All Works

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3 of 3 papers shown

1.

Chepushtanova, Sofya & Michael Kirby. (2017). Sparse Grassmannian Embeddings for Hyperspectral Data Representation and Classification. IEEE Geoscience and Remote Sensing Letters. 14(3). 434–438. 4 indexed citations

2.

Chepushtanova, Sofya, Michael Kirby, Chris Peterson, & Lori Ziegelmeier. (2015). An application of persistent homology on Grassmann manifolds for the detection of signals in hyperspectral imagery. 9088. 449–452. 5 indexed citations

3.

Chepushtanova, Sofya, Christopher M. Gittins, & Michael Kirby. (2014). Band selection in hyperspectral imagery using sparse support vector machines. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9088. 90881F–90881F. 17 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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