Grigory Antipov

1.1k citations
5 papers · 502 indexed · 1 hit paper · h-index 4
Topics
Face recognition and analysis (4 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Speech and Audio Processing (1 paper)
Partner nations
FranceSwitzerlandRussia

In The Last Decade

Grigory Antipov

4 papers receiving 481 citations

Hit Papers

Face aging with conditional generative adversarial networks20172026202020232017100200300

Peers

Grigory Antipov
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 382
  • Artificial Intelligence 105
  • Signal Processing 86
  • Radiology, Nuclear Medicine and Imaging 20
  • Cognitive Neuroscience 19
Replace Moez Baccouche with:
Moez Baccouche France
Wen-Huang Cheng Taiwan
Mingrui Zhu China
Shaoxin Li China
Seong Tae Kim South Korea
Samy Bakheet Egypt
Hemprasad Yashwant Patil India
Musiur Raza Abidi India
Maheen Bakhtyar Pakistan
Grigory Antipov relative to Moez Baccouche France Moez Baccouche's profile →
Citations per field
00.5×1.5×
Moez Baccouche · 1×
Citations per year

Countries citing papers authored by Grigory Antipov

Since Specialization
Citations

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

Fields of papers citing papers by Grigory Antipov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grigory Antipov

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 1
2 95
3
Face aging with conditional generative adversarial networksbreakdown →
327
4 75
5 4

About Grigory Antipov

Grigory Antipov is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 5 papers that have together received 502 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (382 citations), Signal Processing (86 citations) and Artificial Intelligence (105 citations). Grigory Antipov has collaborated with scholars based in France, Switzerland and Russia. Frequent co-authors include Jean‐Luc Dugelay, Moez Baccouche, Sid-Ahmed Berrani, Pavel Korshunov and Touradj Ebrahimi. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Vysshee Obrazovanie v Rossii = Higher Education in Russia.

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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