Mandis Beigi

9 papers and 172 indexed citations i.

About

Mandis Beigi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mandis Beigi has authored 9 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Mandis Beigi’s work include Video Analysis and Summarization (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Mandis Beigi is often cited by papers focused on Video Analysis and Summarization (4 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Mandis Beigi collaborates with scholars based in United States. Mandis Beigi's co-authors include Shih‐Fu Chang, Ana B. Benitez, John R. Smith, Jierui Xie, Dinesh Verma, Shahram Ebadollahi, Chao Sang, Francesco Maura, Arup Abhinna Acharya and Reiner Sailer and has published in prestigious journals such as Blood, Communications of the ACM and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of Mandis Beigi i

Fields of papers citing papers by Mandis Beigi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mandis Beigi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025