Modris Greitāns
Impact in
- Signal Processing top 5%
- Biometric Identification and Security
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Robotic Path Planning Algorithms 6
- Face and Expression Recognition 5
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- Biometric Identification and Security 11
- Co-authors
- Jānis Ārents (11 shared papers)Kaspars Ozols (6 shared papers)Kamal Nasrollahi (2 shared papers)Thomas Baltzer Moeslund (2 shared papers)Jānis Judvaitis (4 shared papers)Ciprian Adrian Corneanu (1 shared paper)Sérgio Escalera (1 shared paper)Marc Oliu Simón (1 shared paper)
In The Last Decade
Modris Greitāns
83 papers receiving 729 citations
Modris Greitāns's Hit Papers
Peers
Comparison fields: 5 of 103
- Signal Processing 152
- Computer Vision and Pattern Recognition 268
- Industrial and Manufacturing Engineering 79
- Human-Computer Interaction 35
- Control and Systems Engineering 118
Countries citing papers authored by Modris Greitāns
This map shows the geographic impact of Modris Greitāns'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 Modris Greitāns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modris Greitāns more than expected).
Fields of papers citing papers by Modris Greitāns
This network shows the impact of papers produced by Modris Greitāns. 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 Modris Greitāns. The network helps show where Modris Greitāns may publish in the future.
Co-authors
The 25 scholars most cited alongside Modris Greitāns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing Hit paper breakdown → | 2022 | 179 |
| 2 | 2016 | 37 | |
| 3 | 2021 | 36 | |
| 4 | 2015 | 34 | |
| 5 | 2010 | 27 | |
| 6 | 2020 | 26 | |
| 7 | 2014 | 23 | |
| 8 | 2007 | 19 | |
| 9 | 2011 | 19 | |
| 10 | 2019 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2010 | 15 | |
| 13 | 2015 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2009 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2012 | 12 | |
| 18 | 2007 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2013 | 10 |
About Modris Greitāns
Modris Greitāns is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Biomedical Engineering and Control and Systems Engineering, having authored 95 papers that have together received 775 indexed citations. Recurring topics across this work include Biometric Identification and Security (11 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Sensor Technology and Measurement Systems (7 papers), Robotic Path Planning Algorithms (6 papers), Retinal Imaging and Analysis (6 papers), Ultra-Wideband Communications Technology (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Signal Processing (152 citations), Computer Vision and Pattern Recognition (268 citations), Industrial and Manufacturing Engineering (79 citations), Human-Computer Interaction (35 citations) and Control and Systems Engineering (118 citations). Modris Greitāns has collaborated with scholars based in Latvia, Lithuania and Taiwan. Frequent co-authors include Jānis Ārents, Kaspars Ozols, Kamal Nasrollahi, Thomas Baltzer Moeslund, Jānis Judvaitis, Ciprian Adrian Corneanu, Sérgio Escalera, Marc Oliu Simón, Haiqing Li and Ģirts Strazdiņš. Their work appears in journals such as Applied Sciences, Electronics, Journal of Sensor and Actuator Networks, Sensors and IEEE Sensors Journal.
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.