Brian Bullins

46 total papers · 640 total citations
15 papers, 156 citations indexed

About

Brian Bullins is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Brian Bullins has authored 15 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computational Mechanics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Brian Bullins's work include Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers) and Machine Learning and Algorithms (5 papers). Brian Bullins is often cited by papers focused on Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (9 papers) and Machine Learning and Algorithms (5 papers). Brian Bullins collaborates with scholars based in United States, Israel and Switzerland. Brian Bullins's co-authors include Naman Agarwal, Elad Hazan, Tengyu Ma, Zeyuan Allen-Zhu, Coralia Cartis, Nicolas Boumal, Blake Woodworth, Ohad Shamir, H. Brendan McMahan and Nati Srebro and has published in prestigious journals such as SIAM Journal on Optimization, Linear Algebra and its Applications and Oxford University Research Archive (ORA) (University of Oxford).

In The Last Decade

Brian Bullins

14 papers receiving 146 citations

Author Peers

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

Author						Papers	Cites
Brian Bullins	98	74	37	30	21	15	156
Yair Carmon	127 1.3×	110 1.5×	57 1.5×	44 1.5×	13 0.6×	16	210
Dan Garber	85 0.9×	74 1.0×	37 1.0×	28 0.9×	19 0.9×	22	141
Mert Gürbüzbalaban	57 0.6×	53 0.7×	60 1.6×	48 1.6×	19 0.9×	31	172
Ioannis Panageas	59 0.6×	39 0.5×	21 0.6×	24 0.8×	18 0.9×	18	158
Zheng Qu	136 1.4×	89 1.2×	23 0.6×	24 0.8×	35 1.7×	25	226
Oliver Hinder	64 0.7×	65 0.9×	41 1.1×	35 1.2×	10 0.5×	9	129
Anna Ma	143 1.5×	167 2.3×	43 1.2×	88 2.9×	14 0.7×	24	236
Alexander Nazin	78 0.8×	38 0.5×	21 0.6×	29 1.0×	23 1.1×	23	250
Ankan Saha	139 1.4×	49 0.7×	16 0.4×	14 0.5×	23 1.1×	14	214
Matt Menickelly	172 1.8×	109 1.5×	64 1.7×	54 1.8×	12 0.6×	17	285

Countries citing papers authored by Brian Bullins

Since Specialization

Citations

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

Fields of papers citing papers by Brian Bullins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Bullins

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Bullins. A scholar is included among the top collaborators of Brian Bullins 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 Brian Bullins. Brian Bullins 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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