Sohail Bahmani

22 papers and 251 indexed citations i.

About

Sohail Bahmani is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sohail Bahmani has authored 22 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 8 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sohail Bahmani’s work include Sparse and Compressive Sensing Techniques (15 papers), Machine Learning and Algorithms (4 papers) and Advanced X-ray Imaging Techniques (4 papers). Sohail Bahmani is often cited by papers focused on Sparse and Compressive Sensing Techniques (15 papers), Machine Learning and Algorithms (4 papers) and Advanced X-ray Imaging Techniques (4 papers). Sohail Bahmani collaborates with scholars based in United States, Canada and Israel. Sohail Bahmani's co-authors include Justin Romberg, Petros T. Boufounos, Bhiksha Raj, B. Raj, Justin Romberg, Ivan V. Bajić, Kiryung Lee, Yonina C. Eldar and Alireza Aghasi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Sohail Bahmani i

Fields of papers citing papers by Sohail Bahmani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sohail Bahmani

Since Specialization
Citations

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