Marius Muja
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Geology top 2%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Visual Attention and Saliency Detection 1
- Video Surveillance and Tracking Methods 1
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- Data Management and Algorithms 3
- Co-authors
- David LoweRadu Bogdan RusuGary BradskiPatrick MihelichBhaskara MarthiKurt KonoligeSachin ChittaEitan Marder-Eppstein
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Open Collections (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marius Muja
10 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 2.2k
- Geology 271
- Aerospace Engineering 1.1k
- Media Technology 213
- Signal Processing 233
Countries citing papers authored by Marius Muja
This map shows the geographic impact of Marius Muja'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 Marius Muja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Muja more than expected).
Fields of papers citing papers by Marius Muja
This network shows the impact of papers produced by Marius Muja. 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 Marius Muja. The network helps show where Marius Muja may publish in the future.
Co-authors
The 25 scholars most cited alongside Marius Muja, 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 | Scalable Nearest Neighbor Algorithms for High Dimensional Data Hit paper breakdown → | 2014 | 875 |
| 2 | 2013 | 7 | |
| 3 | 2012 | 191 | |
| 4 | 2011 | 37 | |
| 5 | 2010 | 118 | |
| 6 | 2010 | 10 | |
| 7 | 2010 | 10 | |
| 8 | 2010 | 2 | |
| 9 | 2010 | 5 | |
| 10 | FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION Hit paper breakdown → | 2009 | 1769 |
About Marius Muja
Marius Muja is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Aerospace Engineering and Artificial Intelligence, having authored 10 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Data Management and Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers), Speech and dialogue systems (2 papers), Robot Manipulation and Learning (2 papers), Visual Attention and Saliency Detection (1 paper), Gaze Tracking and Assistive Technology (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Geology (271 citations), Aerospace Engineering (1.1k citations), Media Technology (213 citations) and Signal Processing (233 citations). Marius Muja has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Lowe, Radu Bogdan Rusu, Gary Bradski, Patrick Mihelich, Bhaskara Marthi, Kurt Konolige, Sachin Chitta, Eitan Marder-Eppstein, Victor Eruhimov and Tully Foote. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Open Collections.
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.