Mihai Puscas

About

Mihai Puscas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mihai Puscas has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Mihai Puscas’s work include Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Processing Techniques and Applications (3 papers). Mihai Puscas is often cited by papers focused on Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Processing Techniques and Applications (3 papers). Mihai Puscas collaborates with scholars based in Italy, United Kingdom and Germany. Mihai Puscas's co-authors include Moin Nabi, Tassilo Klein, Nicu Sebe, Dan Xu, Andrea Pilzer, Patrick Jähnichen, Elisa Ricci, Dubravko Ćulibrk, Enver Sangineto and Lianli Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

Co-authorship network of co-authors of Mihai Puscas i

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Fields of papers citing papers by Mihai Puscas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mihai Puscas

Since Specialization

Citations

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