Arthur Choi

1.4k citations
52 papers · 514 · h-index 15

Impact in

    • Bayesian Modeling and Causal Inference
    • Machine Learning and Algorithms
    • Explainable Artificial Intelligence (XAI)
    • Logic, Reasoning, and Knowledge
    • Machine Learning and Data Classification
  • Software top 10%

Papers in

Arthur Choi

46 papers receiving 483 citations

Peers

Arthur Choi
Comparison fields: 5 of 75
  • Artificial Intelligence 354
  • Software 23
  • Signal Processing 58
  • Computational Theory and Mathematics 81
  • Management Science and Operations Research 55
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Citations per field
00.5×2.6×
Daniel R. Tauritz · 1×
Citations per year

Countries citing papers authored by Arthur Choi

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arthur Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arthur Choi Line = papers co-authored together Arthur Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201077
2
Probabilistic sentential decision diagrams
201437
3 201329
4 201221
5
Tractable learning for structured probability spaces: a case study in learning preference distributions
201521
6
An edge deletion semantics for belief propagation and its practical impact on approximation quality
200620
7 201920
8 202019
9
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference
201219
10
Tractable learning for complex probability queries
201518
11 201618
12 201316
13
Tractable Operations for Arithmetic Circuits of Probabilistic Models
201615
14 200815
15 200714
16
Learning Bayesian networks with ancestral constraints
201613
17 201413
18
Formal Verification of Bayesian Network Classifiers
201811
19 201511
20 20089

About Arthur Choi

Arthur Choi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 52 papers that have together received 514 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (39 papers), Machine Learning and Algorithms (13 papers), Data Management and Algorithms (9 papers), Logic, Reasoning, and Knowledge (9 papers), Explainable Artificial Intelligence (XAI) (5 papers), Rough Sets and Fuzzy Logic (5 papers), AI-based Problem Solving and Planning (4 papers) and Constraint Satisfaction and Optimization (4 papers). The work is most often cited by research in Artificial Intelligence (354 citations), Software (23 citations), Signal Processing (58 citations), Computational Theory and Mathematics (81 citations) and Management Science and Operations Research (55 citations). Arthur Choi has collaborated with scholars based in United States, Belgium and Iran. Frequent co-authors include Adnan Darwiche, Guy Van den Broeck, Knot Pipatsrisawat, Andy Shih, Eleazar Eskin, Dan He, K. Wojtek Przytula, Suming Chen, Yexiang Xue and Weijia Shi. Their work appears in journals such as International Journal of Approximate Reasoning, Bioinformatics, Journal of Artificial Intelligence Research, Journal of Medical Internet Research and Artificial Intelligence.

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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