Alina Kuznetsova
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Human-Computer Interaction top 5%
- Automotive Engineering top 10%
- Aerospace Engineering top 10%
- Co-authors
- Vittorio FerrariShahab KamaliJordi Pont-TusetJasper UijlingsIvan KrasinTom DuerigNeil AlldrinStefan Popov
- Topics
- Human Pose and Action Recognition (5 papers)Multimodal Machine Learning Applications (4 papers)Video Surveillance and Tracking Methods (3 papers)
- Journals
- International Journal of Computer VisionJournal of Plastic Reconstructive & Aesthetic SurgeryOptics and Spectroscopy
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Alina Kuznetsova
12 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 713
- Human-Computer Interaction 120
- Automotive Engineering 101
- Aerospace Engineering 91
Countries citing papers authored by Alina Kuznetsova
This map shows the geographic impact of Alina Kuznetsova'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 Alina Kuznetsova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alina Kuznetsova more than expected).
Fields of papers citing papers by Alina Kuznetsova
This network shows the impact of papers produced by Alina Kuznetsova. 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 Alina Kuznetsova. The network helps show where Alina Kuznetsova may publish in the future.
Co-authorship network of co-authors of Alina Kuznetsova
This figure shows the co-authorship network connecting the top 25 collaborators of Alina Kuznetsova. A scholar is included among the top collaborators of Alina Kuznetsova 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 Alina Kuznetsova. Alina Kuznetsova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 130 | |
| 3 | The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown → | 960 |
| 4 | The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown → | 378 |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 23 | |
| 8 | 167 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 101 |
About Alina Kuznetsova
Alina Kuznetsova is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (713 citations) and Human-Computer Interaction (120 citations). Alina Kuznetsova has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Vittorio Ferrari, Shahab Kamali, Jordi Pont-Tuset, Jasper Uijlings, Ivan Krasin, Tom Duerig, Neil Alldrin, Stefan Popov, Alexander Kolesnikov and Bodo Rosenhahn. Their work appears in journals such as International Journal of Computer Vision, Journal of Plastic Reconstructive & Aesthetic Surgery and Optics and Spectroscopy.
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.