B. Bavarian

15 papers and 246 indexed citations i.

About

B. Bavarian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, B. Bavarian has authored 15 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in B. Bavarian’s work include Neural Networks and Applications (6 papers), Image and Signal Denoising Methods (5 papers) and Image and Video Stabilization (2 papers). B. Bavarian is often cited by papers focused on Neural Networks and Applications (6 papers), Image and Signal Denoising Methods (5 papers) and Image and Video Stabilization (2 papers). B. Bavarian collaborates with scholars based in United States. B. Bavarian's co-authors include Z.-P. Lo, Yaming Yu, Stephen G. Ritchie, Mohamed Kaseko, Will Recker, Ruey Long Cheu, Edmond Jonckheere, H. Hemami, Bostwick F. Wyman and Y. S. Kwoh and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Medical Imaging and Biological Cybernetics.

In The Last Decade

Co-authorship network of co-authors of B. Bavarian i

Fields of papers citing papers by B. Bavarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by B. Bavarian

Since Specialization
Citations

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