Dmitry O. Gorodnichy
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Human-Computer Interaction top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Co-authors
- Éric GrangerRobert SabourinGerhard RothMiguel De‐la‐TorreSvetlana YanushkevichVlad P. ShmerkoMartin DrahanskýWael Khreich
- Topics
- Face recognition and analysis (19 papers)Biometric Identification and Security (18 papers)Face and Expression Recognition (17 papers)
- Partner nations
- CanadaUnited StatesMexico
In The Last Decade
Dmitry O. Gorodnichy
47 papers receiving 502 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 371
- Signal Processing 178
- Human-Computer Interaction 122
- Artificial Intelligence 120
- Cognitive Neuroscience 78
Countries citing papers authored by Dmitry O. Gorodnichy
This map shows the geographic impact of Dmitry O. Gorodnichy'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 Dmitry O. Gorodnichy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry O. Gorodnichy more than expected).
Fields of papers citing papers by Dmitry O. Gorodnichy
This network shows the impact of papers produced by Dmitry O. Gorodnichy. 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 Dmitry O. Gorodnichy. The network helps show where Dmitry O. Gorodnichy may publish in the future.
Co-authorship network of co-authors of Dmitry O. Gorodnichy
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry O. Gorodnichy. A scholar is included among the top collaborators of Dmitry O. Gorodnichy 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 Dmitry O. Gorodnichy. Dmitry O. Gorodnichy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | The Current State and TRL Assessment of People Tracking Technology for Video Surveillance Applications | 2 |
| 5 | Evaluation methodology for face recognition technology in video surveillance applications | 6 |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Adaptive selection of ensembles for imbalanced class distributions | 1 |
| 9 | VIVA-uOttawa / CBSA at TRECVID 2012: Interactive Surveillance Event Detection | 1 |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 19 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 64 | |
| 17 | 1 | |
| 18 | Affordable 3D Face Tracking Using Projective Vision | 14 |
| 19 | The influence of self-connection on the performance of pseudo-inverse autoassociative networks | 3 |
| 20 | 13 |
About Dmitry O. Gorodnichy
Dmitry O. Gorodnichy is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 49 papers that have together received 560 indexed citations. Recurring topics across this work include Face recognition and analysis (19 papers), Biometric Identification and Security (18 papers) and Face and Expression Recognition (17 papers). The work is most often cited by research in Human-Computer Interaction (122 citations), Computer Vision and Pattern Recognition (371 citations) and Signal Processing (178 citations). Dmitry O. Gorodnichy has collaborated with scholars based in Canada, United States and Mexico. Frequent co-authors include Éric Granger, Robert Sabourin, Gerhard Roth, Miguel De‐la‐Torre, Svetlana Yanushkevich, Vlad P. Shmerko, Martin Drahanský, Wael Khreich, William W. Armstrong and Robert Laganière. Their work appears in journals such as Pattern Recognition, Information Fusion and Image and Vision Computing.
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.