Dmitry Nikolaev
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Russian Academy of Sciencesas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-5560-7668
- OpenAlex ID
- A5066631478, A5126792467as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 41
Advanced Hough-based method for on-device document localization,
An algorithm for detection and phase estimation of protective elements periodic lattice on document image,
Analysis of Video Game Players’ Emotions and Team Performance: An Esports Tournament Case Study,
Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs,
Bipolar Morphological Neural Networks: Gate-Efficient Architecture for Computer Vision,
Blind radial distortion compensation in a single image using fast Hough transform,
Combining convolutional neural networks and Hough Transform for classification of images containing lines,
Convolutional Neural Network Structure Transformations for Complexity Reduction and Speed Improvement
+33 more
← Authored by 41
Advanced Hough-based method for on-device document localization,
An algorithm for detection and phase estimation of protective elements periodic lattice on document image,
Analysis of Video Game Players’ Emotions and Team Performance: An Esports Tournament Case Study,
Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs,
Bipolar Morphological Neural Networks: Gate-Efficient Architecture for Computer Vision,
Blind radial distortion compensation in a single image using fast Hough transform,
Combining convolutional neural networks and Hough Transform for classification of images containing lines,
Convolutional Neural Network Structure Transformations for Complexity Reduction and Speed Improvement
+33 more
Affiliated with 9
Russian Academy of Sciences,
University of Manchester,
Stockholm University,
Simon Fraser University,
Moscow Institute of Physics and Technology,
Skolkovo Institute of Science and Technology,
The Institute for Information Transmission Problems of Russian Academy of Sciences,
Institute for Systems Analysis
+1 more
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Summary
Dmitry Nikolaev is a human[1].