Mohammad Bavarian

3 papers and 11 indexed citations i.

About

Mohammad Bavarian is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mohammad Bavarian has authored 3 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 1 paper in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Mohammad Bavarian’s work include Computability, Logic, AI Algorithms (2 papers), graph theory and CDMA systems (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). Mohammad Bavarian is often cited by papers focused on Computability, Logic, AI Algorithms (2 papers), graph theory and CDMA systems (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). Mohammad Bavarian collaborates with scholars based in United States. Mohammad Bavarian's co-authors include Peter W. Shor, Pritish Kamath, Badih Ghazi, Madhu Sudan, Ronald L. Rivest and Scott Aaronson and has published in prestigious journals such as arXiv (Cornell University) and Electronic colloquium on computational complexity.

In The Last Decade

Co-authorship network of co-authors of Mohammad Bavarian i

Fields of papers citing papers by Mohammad Bavarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohammad Bavarian

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025