Mahsa Baktashmotlagh

39 papers and 1.0k indexed citations i.

About

Mahsa Baktashmotlagh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mahsa Baktashmotlagh has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Mahsa Baktashmotlagh’s work include Domain Adaptation and Few-Shot Learning (21 papers), Multimodal Machine Learning Applications (13 papers) and Topic Modeling (5 papers). Mahsa Baktashmotlagh is often cited by papers focused on Domain Adaptation and Few-Shot Learning (21 papers), Multimodal Machine Learning Applications (13 papers) and Topic Modeling (5 papers). Mahsa Baktashmotlagh collaborates with scholars based in Australia, China and Switzerland. Mahsa Baktashmotlagh's co-authors include Mathieu Salzmann, Mehrtash Harandi, Brian C. Lovell, Yadan Luo, Zi Huang, Zijian Wang, Clinton Fookes, Sridha Sridharan, Jhony Kaesemodel Pontes and Dominic Jack and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Mahsa Baktashmotlagh i

Fields of papers citing papers by Mahsa Baktashmotlagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahsa Baktashmotlagh

Since Specialization
Citations

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