Mahdi Abavisani

About

Mahdi Abavisani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mahdi Abavisani has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Mahdi Abavisani’s work include Gait Recognition and Analysis (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Mahdi Abavisani is often cited by papers focused on Gait Recognition and Analysis (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Mahdi Abavisani collaborates with scholars based in United States, Iran and United Kingdom. Mahdi Abavisani's co-authors include Vishal M. Patel, Hamid Reza Vaezi Joze, Liwei Wu, Joel Tetreault, Alejandro Jaimes and Pramuditha Perera and has published in prestigious journals such as Information Fusion, IEEE Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Mahdi Abavisani i

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Fields of papers citing papers by Mahdi Abavisani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahdi Abavisani

Since Specialization

Citations

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