Nadezhda Sazonova
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Physiology
- Public Health, Environmental and Occupational Health
- Experimental and Cognitive Psychology
- Co-authors
- Edward SazonovStephanie SchuckersMichael R. NeumanPaulo Lopez‐MeyerEdward L. MelansonOleksandr MakeyevR. BrowningNagaraj Hegde
- Topics
- Context-Aware Activity Recognition Systems (4 papers)Biometric Identification and Security (3 papers)Obstructive Sleep Apnea Research (3 papers)
- Journals
- Journal of Biomedical InformaticsIEEE Journal of Biomedical and Health InformaticsPhysiological Measurement
- Partner nations
- United States
In The Last Decade
Nadezhda Sazonova
14 papers receiving 318 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 108
- Biomedical Engineering 96
- Physiology 81
- Public Health, Environmental and Occupational Health 75
- Experimental and Cognitive Psychology 42
Countries citing papers authored by Nadezhda Sazonova
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 21 | |
| 5 | 25 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 135 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 55 |
About Nadezhda Sazonova
Nadezhda Sazonova is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 15 papers that have together received 336 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Biometric Identification and Security (3 papers) and Obstructive Sleep Apnea Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Signal Processing (41 citations) and Human-Computer Interaction (21 citations). Nadezhda Sazonova has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Journal of Biomedical Informatics, IEEE Journal of Biomedical and Health Informatics and Physiological Measurement.
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.