Oleg Starostenko
Impact in
- Instrumentation top 10%
-
- Image and Object Detection Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 10
- Image Retrieval and Classification Techniques 9
- Music Technology and Sound Studies 5
- Face and Expression Recognition 4
- Co-authors
- Vicente Alarcon‐Aquino (22 shared papers)Oleg Sergiyenko (12 shared papers)Vera Tyrsa (9 shared papers)Wilmar Hernández (7 shared papers)Luis C. Básaca-Preciado (4 shared papers)Juan Manuel Ramírez-Cortés (8 shared papers)Moisés Rivas-López (2 shared papers)Daniel Hernández‐Balbuena (2 shared papers)
In The Last Decade
Oleg Starostenko
52 papers receiving 429 citations
Peers
Comparison fields: 5 of 74
- Instrumentation 34
- Computer Vision and Pattern Recognition 174
- Computational Mechanics 139
- Geology 36
- Signal Processing 61
Countries citing papers authored by Oleg Starostenko
This map shows the geographic impact of Oleg Starostenko'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 Oleg Starostenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Starostenko more than expected).
Fields of papers citing papers by Oleg Starostenko
This network shows the impact of papers produced by Oleg Starostenko. 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 Oleg Starostenko. The network helps show where Oleg Starostenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Oleg Starostenko, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 89 | |
| 2 | 2014 | 42 | |
| 3 | 1998 | 25 | |
| 4 | 2011 | 24 | |
| 5 | 2009 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2010 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2010 | 17 | |
| 11 | 2017 | 13 | |
| 12 | 2014 | 13 | |
| 13 | 2004 | 10 | |
| 14 | Dynamic Laser Scanning method for Mobile Robot Navigation | 2009 | 8 |
| 15 | 2005 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2009 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2018 | 6 |
About Oleg Starostenko
Oleg Starostenko is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 61 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers), Astronomical Observations and Instrumentation (6 papers), Music Technology and Sound Studies (5 papers), Sensor Technology and Measurement Systems (5 papers), Face and Expression Recognition (4 papers), Semantic Web and Ontologies (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Instrumentation (34 citations), Computer Vision and Pattern Recognition (174 citations), Computational Mechanics (139 citations), Geology (36 citations) and Signal Processing (61 citations). Oleg Starostenko has collaborated with scholars based in Mexico, Spain and Chile. Frequent co-authors include Vicente Alarcon‐Aquino, Oleg Sergiyenko, Vera Tyrsa, Wilmar Hernández, Luis C. Básaca-Preciado, Juan Manuel Ramírez-Cortés, Moisés Rivas-López, Daniel Hernández‐Balbuena, Juan Iván Nieto Hipólito and Roberto Rosas-Romero. Their work appears in journals such as IEEE Access, Journal of Intelligent & Fuzzy Systems, Sensors, PeerJ Computer Science and Engineering Applications of Artificial Intelligence.
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.