Mihai Dusmanu
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Geology top 5%
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Marc PollefeysTorsten SattlerIgnacio RoccoAkihiko ToriiTomáš PajdlaJosef ŠivicSerena VillataElena Cabrio
- Topics
- Advanced Image and Video Retrieval Techniques (2 papers)Robotics and Sensor-Based Localization (2 papers)Advanced Text Analysis Techniques (1 paper)
- Journals
- Lund University Publications (Lund University)arXiv (Cornell University)Chalmers Research (Chalmers University of Technology)
- Partner nations
- United KingdomSwitzerlandSweden
In The Last Decade
Mihai Dusmanu
5 papers receiving 702 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 629
- Aerospace Engineering 485
- Geology 78
- Artificial Intelligence 70
- Media Technology 40
Countries citing papers authored by Mihai Dusmanu
This map shows the geographic impact of Mihai Dusmanu'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 Mihai Dusmanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Dusmanu more than expected).
Fields of papers citing papers by Mihai Dusmanu
This network shows the impact of papers produced by Mihai Dusmanu. 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 Mihai Dusmanu. The network helps show where Mihai Dusmanu may publish in the future.
Co-authorship network of co-authors of Mihai Dusmanu
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai Dusmanu. A scholar is included among the top collaborators of Mihai Dusmanu 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 Mihai Dusmanu. Mihai Dusmanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | Privacy-Preserving Visual Feature Descriptors through Adversarial Affine Subspace Embedding | 3 |
| 4 | D2-Net: A Trainable CNN for Joint Description and Detection of Local Featuresbreakdown → | 688 |
| 5 | 33 |
About Mihai Dusmanu
Mihai Dusmanu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 5 papers that have together received 729 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (629 citations), Aerospace Engineering (485 citations) and Geology (78 citations). Mihai Dusmanu has collaborated with scholars based in United Kingdom, Switzerland and Sweden. Frequent co-authors include Marc Pollefeys, Torsten Sattler, Ignacio Rocco, Akihiko Torii, Tomáš Pajdla, Josef Šivic, Serena Villata, Elena Cabrio, Johannes L. Schönberger and Sudipta N. Sinha. Their work appears in journals such as Lund University Publications (Lund University), arXiv (Cornell University) and Chalmers Research (Chalmers University of Technology).
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.