Helisa Dhamo

8 papers and 234 indexed citations i.

About

Helisa Dhamo is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Helisa Dhamo has authored 8 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Media Technology. Recurrent topics in Helisa Dhamo’s work include Image Processing Techniques and Applications (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Vision and Imaging (3 papers). Helisa Dhamo is often cited by papers focused on Image Processing Techniques and Applications (3 papers), 3D Shape Modeling and Analysis (3 papers) and Advanced Vision and Imaging (3 papers). Helisa Dhamo collaborates with scholars based in United States, Germany and United Kingdom. Helisa Dhamo's co-authors include Nassir Navab, Federico Tombari, Johanna Wald, Iro Laina, Christian Rupprecht, Gregory D. Hager, Keisuke Tateno, Fabian Manhardt, Richard A. Shaw and Yiren Zhou and has published in prestigious journals such as Pattern Recognition Letters, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Helisa Dhamo i

Fields of papers citing papers by Helisa Dhamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helisa Dhamo. 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 Helisa Dhamo. The network helps show where Helisa Dhamo may publish in the future.

Countries citing papers authored by Helisa Dhamo

Since Specialization
Citations

This map shows the geographic impact of Helisa Dhamo'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 Helisa Dhamo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helisa Dhamo more than expected).

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.

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2025