Brendan Juba

103 total papers · 846 total citations
35 papers, 437 citations indexed

About

Brendan Juba is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Brendan Juba has authored 35 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Brendan Juba's work include Machine Learning and Algorithms (13 papers), Logic, Reasoning, and Knowledge (12 papers) and Computability, Logic, AI Algorithms (6 papers). Brendan Juba is often cited by papers focused on Machine Learning and Algorithms (13 papers), Logic, Reasoning, and Knowledge (12 papers) and Computability, Logic, AI Algorithms (6 papers). Brendan Juba collaborates with scholars based in United States, Israel and United Kingdom. Brendan Juba's co-authors include Hai Son Le, Madhu Sudan, Oded Goldreich, Roni Stern, Sanjeev Khanna, Sanmay Das, Adam Tauman Kalai, Martin Rinard, Christopher Musco and Fan Long and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the ACM and Journal of Machine Learning Research.

In The Last Decade

Brendan Juba

31 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
Brendan Juba	231	91	62	51	44	35	437
Zhiqiang Liu	250 1.1×	119 1.3×	72 1.2×	36 0.7×	55 1.3×	20	490
Dana Simian	128 0.6×	95 1.0×	56 0.9×	50 1.0×	71 1.6×	50	368
Marin Golub	201 0.9×	96 1.1×	43 0.7×	61 1.2×	44 1.0×	46	400
Virendrakumar C. Bhavsar	224 1.0×	133 1.5×	50 0.8×	60 1.2×	77 1.8×	51	467
Qi Li	186 0.8×	67 0.7×	92 1.5×	29 0.6×	33 0.8×	26	458
Cyril Fonlupt	224 1.0×	64 0.7×	31 0.5×	74 1.5×	33 0.8×	29	387
A. Şima Uyar	257 1.1×	51 0.6×	80 1.3×	123 2.4×	50 1.1×	43	446
Bryar A. Hassan	234 1.0×	60 0.7×	53 0.9×	35 0.7×	76 1.7×	30	458
Jan Lemeire	173 0.7×	62 0.7×	30 0.5×	45 0.9×	36 0.8×	43	388
Anton Akusok	322 1.4×	81 0.9×	90 1.5×	25 0.5×	79 1.8×	24	466

Countries citing papers authored by Brendan Juba

Since Specialization

Citations

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

Fields of papers citing papers by Brendan Juba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Juba

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