Mohammad Bavarian

26 total papers · 1.6k total citations
6 papers, 18 citations indexed

About

Mohammad Bavarian is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mohammad Bavarian has authored 6 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mohammad Bavarian's work include Quantum Computing Algorithms and Architecture (4 papers), Computability, Logic, AI Algorithms (3 papers) and Quantum Mechanics and Applications (3 papers). Mohammad Bavarian is often cited by papers focused on Quantum Computing Algorithms and Architecture (4 papers), Computability, Logic, AI Algorithms (3 papers) and Quantum Mechanics and Applications (3 papers). Mohammad Bavarian collaborates with scholars based in United States. Mohammad Bavarian's co-authors include Peter W. Shor, Artūrs Bačkurs, Henry Yuen, Thomas Vidick, Madhu Sudan, Badih Ghazi, Ronald L. Rivest, Scott Aaronson and Pritish Kamath and has published in prestigious journals such as SIAM Journal on Computing, Theory of Computing and Electronic colloquium on computational complexity.

In The Last Decade

Mohammad Bavarian

3 papers receiving 16 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohammad Bavarian 15 8 7 2 1 6 18
Ismail Yunus Akhalwaya 12 0.8× 5 0.6× 7 1.0× 2 1.0× 6 18
M. Zhabitsky 13 0.9× 11 1.4× 3 0.4× 1 1.0× 7 28
Ikko Hamamura 15 1.0× 3 0.4× 10 1.4× 4 19
Thomas Alexander 25 1.7× 3 0.4× 10 1.4× 1 1.0× 5 29
Mike Stay 6 0.4× 5 0.6× 5 0.7× 1 0.5× 2 2.0× 4 16
M. Y. Niu 11 0.7× 2 0.3× 7 1.0× 5 13
S. Bhattacharya 7 0.5× 2 0.3× 5 0.7× 1 1.0× 7 24
Grete Hermann 4 0.3× 5 0.6× 4 0.6× 5 15
Anja Becker 15 1.0× 9 1.1× 2 1.0× 1 1.0× 5 19
Yuchen Pang 13 0.9× 2 0.3× 7 1.0× 1 0.5× 3 3.0× 4 22

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).

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.

Co-authorship network of co-authors of Mohammad Bavarian

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Bavarian. A scholar is included among the top collaborators of Mohammad Bavarian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Bavarian. Mohammad Bavarian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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