Brendan Juba

862 total citations
35 papers, 443 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 443 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, Sanmay Das, Stelios Sidiroglou-Douskos, Sanjeev Khanna, Adam Tauman Kalai, Martin Rinard and Christopher Musco 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 411 citations

Peers

Brendan Juba
Comparison fields: 5 of 112
  • Artificial Intelligence 233
  • Computer Networks and Communications 92
  • Electrical and Electronic Engineering 62
  • Computational Theory and Mathematics 51
  • Computer Vision and Pattern Recognition 45
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Citations per field, relative to Brendan Juba
Brendan Juba · 1×
Citations per year, relative to Brendan Juba
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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

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 11
6 8
7 1
8
Conditional Sparse 𝓁 p -norm Regression With Optimal Probability.
1
9
Hardness of Improper One-Sided Learning of Conjunctions For All Uniformly Falsifiable CSPs
1
10 5
11
Integrated common sense learning and planning in POMDPs
7
12 0
13 18
14
On Non-automatizability in PAC-Semantics.
1
15
Compression without a common prior: An information-theoretic justification for ambiguity in language
17
16 5
17 5
18
Universal Semantic Communication II: A Theory of Goal-Oriented Communication
9
19 35
20 12

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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