Ignas Budvytis
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Aerospace Engineering
- Artificial Intelligence
- Co-authors
- Roberto CipollaVijay BadrinarayananRoberto MeccaFei XuePatrick SauerJames R. ScottStephan LiwickiTae‐Kyun Kim
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Advanced Neural Network Applications (6 papers)Advanced Vision and Imaging (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionInternational Journal of Nursing Studies
- Partner nations
- United KingdomSwitzerlandSouth Sudan
In The Last Decade
Ignas Budvytis
26 papers receiving 430 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 382
- Computational Mechanics 104
- Computer Graphics and Computer-Aided Design 60
- Aerospace Engineering 55
- Artificial Intelligence 45
Countries citing papers authored by Ignas Budvytis
This map shows the geographic impact of Ignas Budvytis'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 Ignas Budvytis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignas Budvytis more than expected).
Fields of papers citing papers by Ignas Budvytis
This network shows the impact of papers produced by Ignas Budvytis. 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 Ignas Budvytis. The network helps show where Ignas Budvytis may publish in the future.
Co-authorship network of co-authors of Ignas Budvytis
This figure shows the co-authorship network connecting the top 25 collaborators of Ignas Budvytis. A scholar is included among the top collaborators of Ignas Budvytis 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 Ignas Budvytis. Ignas Budvytis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 6 | |
| 6 | 36 | |
| 7 | 13 | |
| 8 | 37 | |
| 9 | 1 | |
| 10 | PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks | 3 |
| 11 | 2 | |
| 12 | 67 | |
| 13 | 36 | |
| 14 | 42 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 30 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | Tangible Interaction in a Mobile Context | 1 |
About Ignas Budvytis
Ignas Budvytis is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 26 papers that have together received 444 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Neural Network Applications (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (382 citations), Computer Graphics and Computer-Aided Design (60 citations) and Geology (31 citations). Ignas Budvytis has collaborated with scholars based in United Kingdom, Switzerland and South Sudan. Frequent co-authors include Roberto Cipolla, Vijay Badrinarayanan, Roberto Mecca, Fei Xue, Patrick Sauer, Fei Xue, James R. Scott, Stephan Liwicki, Tae‐Kyun Kim and Alex Butler. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and International Journal of Nursing Studies.
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.