Nadezhda Sazonova

17 total papers · 445 total citations
15 papers, 336 citations indexed

About

Nadezhda Sazonova is a scholar working on Computer Vision and Pattern Recognition, Physiology and Signal Processing. According to data from OpenAlex, Nadezhda Sazonova has authored 15 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Physiology and 3 papers in Signal Processing. Recurrent topics in Nadezhda Sazonova's work include Context-Aware Activity Recognition Systems (4 papers), Biometric Identification and Security (3 papers) and Obstructive Sleep Apnea Research (3 papers). Nadezhda Sazonova is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Biometric Identification and Security (3 papers) and Obstructive Sleep Apnea Research (3 papers). Nadezhda Sazonova collaborates with scholars based in United States. Nadezhda Sazonova's co-authors include Edward Sazonov, Stephanie Schuckers, Michael R. Neuman, Paulo Lopez‐Meyer, Edward L. Melanson, Oleksandr Makeyev, R. Browning, Nagaraj Hegde, Peter A. Johnson and Hua Fang and has published in prestigious journals such as Journal of Biomedical Informatics, IEEE Journal of Biomedical and Health Informatics and Physiological Measurement.

In The Last Decade

Nadezhda Sazonova

14 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Nadezhda Sazonova	108	96	81	75	42	15	336
Temiloluwa Prioleau	95 0.9×	75 0.8×	42 0.5×	66 0.9×	19 0.5×	25	363
Konstantinos Kyritsis	78 0.7×	78 0.8×	51 0.6×	76 1.0×	17 0.4×	23	306
Juho Merilahti	109 1.0×	69 0.7×	43 0.5×	34 0.5×	43 1.0×	22	400
Stuart Hagler	134 1.2×	77 0.8×	25 0.3×	16 0.2×	42 1.0×	11	387
Andrey Boytsov	185 1.7×	122 1.3×	70 0.9×	38 0.5×	11 0.3×	11	341
Niall A. Fox	61 0.6×	103 1.1×	117 1.4×	11 0.1×	126 3.0×	10	381
Brian French	37 0.3×	23 0.2×	31 0.4×	45 0.6×	68 1.6×	15	318
Nicole Sharma	77 0.7×	25 0.3×	30 0.4×	22 0.3×	43 1.0×	29	353
Jason Nawyn	104 1.0×	16 0.2×	139 1.7×	88 1.2×	24 0.6×	12	376
Narayan Schütz	61 0.6×	55 0.6×	43 0.5×	26 0.3×	32 0.8×	31	299

Countries citing papers authored by Nadezhda Sazonova

Since Specialization

Citations

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

Fields of papers citing papers by Nadezhda Sazonova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadezhda Sazonova

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