Iaroslav Melekhov
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Geology top 10%
- Media Technology top 10%
- Co-authors
- Juho KannalaEsa RahtuJuha YlioinasAleksei TiulpinTorsten SattlerMarc PollefeysSimo SaarakkalaYi Zhao
- Topics
- Robotics and Sensor-Based Localization (4 papers)Advanced Image and Video Retrieval Techniques (3 papers)Advanced Vision and Imaging (3 papers)
- Journals
- International Journal of Computer VisionUniversity of Oulu Repository (University of Oulu)Trepo - Institutional Repository of Tampere University
- Partner nations
- FinlandSwitzerlandCzechia
In The Last Decade
Iaroslav Melekhov
7 papers receiving 434 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 316
- Aerospace Engineering 164
- Artificial Intelligence 71
- Geology 42
- Media Technology 38
Countries citing papers authored by Iaroslav Melekhov
This map shows the geographic impact of Iaroslav Melekhov'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 Iaroslav Melekhov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iaroslav Melekhov more than expected).
Fields of papers citing papers by Iaroslav Melekhov
This network shows the impact of papers produced by Iaroslav Melekhov. 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 Iaroslav Melekhov. The network helps show where Iaroslav Melekhov may publish in the future.
Co-authorship network of co-authors of Iaroslav Melekhov
This figure shows the co-authorship network connecting the top 25 collaborators of Iaroslav Melekhov. A scholar is included among the top collaborators of Iaroslav Melekhov 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 Iaroslav Melekhov. Iaroslav Melekhov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshingbreakdown → | 18 |
| 2 | 2 | |
| 3 | 12 | |
| 4 | Kneel:knee anatomical landmark localization using hourglass networks | 26 |
| 5 | 70 | |
| 6 | 128 | |
| 7 | 200 |
About Iaroslav Melekhov
Iaroslav Melekhov is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 7 papers that have together received 456 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Geology (42 citations) and Aerospace Engineering (164 citations). Iaroslav Melekhov has collaborated with scholars based in Finland, Switzerland and Czechia. Frequent co-authors include Juho Kannala, Esa Rahtu, Juha Ylioinas, Aleksei Tiulpin, Torsten Sattler, Marc Pollefeys, Simo Saarakkala, Yi Zhao, Giorgos Tolias and Xiaotian Li. Their work appears in journals such as International Journal of Computer Vision, University of Oulu Repository (University of Oulu) and Trepo - Institutional Repository of Tampere University.
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.