Maja Pantić

284 papers and 16.6k indexed citations i.

About

Maja Pantić is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Maja Pantić has authored 284 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Computer Vision and Pattern Recognition, 110 papers in Experimental and Cognitive Psychology and 97 papers in Signal Processing. Recurrent topics in Maja Pantić’s work include Face recognition and analysis (103 papers), Emotion and Mood Recognition (101 papers) and Face and Expression Recognition (95 papers). Maja Pantić is often cited by papers focused on Face recognition and analysis (103 papers), Emotion and Mood Recognition (101 papers) and Face and Expression Recognition (95 papers). Maja Pantić collaborates with scholars based in United Kingdom, The Netherlands and United States. Maja Pantić's co-authors include Michel Valstar, Stefanos Zafeiriou, Georgios Tzimiropoulos, Mohammad Soleymani, Stavros Petridis, Léon Rothkrantz, Thierry Pun, Alessandro Vinciarelli, Thomas S. Huang and Zhihong Zeng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Co-authorship network of co-authors of Maja Pantić i

Fields of papers citing papers by Maja Pantić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Pantić

Since Specialization
Citations

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