A. E. Sergeev
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Data Compression Techniques
- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Image and Signal Denoising Methods
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- Domain Adaptation and Few-Shot Learning
- Explainable Artificial Intelligence (XAI)
Papers in
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- Coding theory and cryptography 1
- Neural Networks and Applications 1
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- Cryptography and Residue Arithmetic 1
- Co-authors
- Jason Yosinski (1 shared paper)Lionel Gueguen (1 shared paper)Rosanne Liu (1 shared paper)Anton Konushin (1 shared paper)
- Journals
- Computer Optics (1 paper)Journal of Mathematical Sciences (2 papers)Polythematic Online Scientific Journal of Kuban State Agrarian University (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- Russia
In The Last Decade
A. E. Sergeev
3 papers receiving 28 citations
Peers
Comparison fields: 5 of 16
- Computer Vision and Pattern Recognition 21
- Artificial Intelligence 11
- Signal Processing 2
- Statistical and Nonlinear Physics 2
- Ocean Engineering 2
Countries citing papers authored by A. E. Sergeev
This map shows the geographic impact of A. E. Sergeev'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 A. E. Sergeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. E. Sergeev more than expected).
Fields of papers citing papers by A. E. Sergeev
This network shows the impact of papers produced by A. E. Sergeev. 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 A. E. Sergeev. The network helps show where A. E. Sergeev may publish in the future.
Co-authors
The 4 scholars most cited alongside A. E. Sergeev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Faster Neural Networks Straight from JPEG | 2018 | 25 |
| 2 | 2016 | 2 | |
| 3 | 2020 | 1 | |
| 4 | 2018 | 0 | |
| 5 | 2006 | 0 | |
| 6 | 2020 | 0 | |
| 7 | 2007 | 0 |
About A. E. Sergeev
A. E. Sergeev is a scholar working on Artificial Intelligence, Information Systems, Geometry and Topology, Computer Vision and Pattern Recognition and Animal Science and Zoology, having authored 7 papers that have together received 28 indexed citations. Recurring topics across this work include Advanced Differential Equations and Dynamical Systems (1 paper), Coding theory and cryptography (1 paper), Image and Signal Denoising Methods (1 paper), Advanced Image Processing Techniques (1 paper), Polynomial and algebraic computation (1 paper), Meat and Animal Product Quality (1 paper), Neural Networks and Applications (1 paper) and Cryptography and Residue Arithmetic (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (21 citations), Artificial Intelligence (11 citations), Signal Processing (2 citations), Statistical and Nonlinear Physics (2 citations) and Ocean Engineering (2 citations). A. E. Sergeev has collaborated with scholars based in Russia. Frequent co-authors include Jason Yosinski, Lionel Gueguen, Rosanne Liu and Anton Konushin. Their work appears in journals such as Computer Optics, Journal of Mathematical Sciences, Polythematic Online Scientific Journal of Kuban State Agrarian University and Neural Information Processing Systems.
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.