Nima Ghorbani

5 papers and 1.2k indexed citations i.

About

Nima Ghorbani is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Nima Ghorbani has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 2 papers in Computational Mechanics. Recurrent topics in Nima Ghorbani’s work include Human Pose and Action Recognition (4 papers), Human Motion and Animation (4 papers) and 3D Shape Modeling and Analysis (2 papers). Nima Ghorbani is often cited by papers focused on Human Pose and Action Recognition (4 papers), Human Motion and Animation (4 papers) and 3D Shape Modeling and Analysis (2 papers). Nima Ghorbani collaborates with scholars based in Germany, Italy and United States. Nima Ghorbani's co-authors include Michael J. Black, Ahmed A. A. Osman, Dimitrios Tzionas, Timo Bolkart, Vasileios Choutas, Georgios Pavlakos, Naureen Mahmood, Gerard Pons‐Moll, Nikolaus F. Troje and Eberhart Zrenner and has published in prestigious journals such as Scientific Data, Journal of Neural Engineering and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Nima Ghorbani i

Fields of papers citing papers by Nima Ghorbani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nima Ghorbani

Since Specialization
Citations

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