Cory J. Butz
-
- Rough Sets and Fuzzy Logic 9
- Information Systems top 1%
- Data Mining Algorithms and Applications 4
- Signal Processing top 5%
- Data Management and Algorithms 11
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference 31
- AI-based Problem Solving and Planning 9
- Logic, Reasoning, and Knowledge 6
-
- Data Quality and Management 15
-
- Advanced Database Systems and Queries 7
Cory J. Butz
44 papers receiving 948 citations
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 394
- Information Systems 507
- Signal Processing 226
- Artificial Intelligence 562
- Computer Science Applications 79
Countries citing papers authored by Cory J. Butz
This map shows the geographic impact of Cory J. Butz'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 Cory J. Butz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cory J. Butz more than expected).
Fields of papers citing papers by Cory J. Butz
This network shows the impact of papers produced by Cory J. Butz. 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 Cory J. Butz. The network helps show where Cory J. Butz may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Cory J. Butz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | An Empirical Study of Methods for SPN Learning and Inference | 2018 | 1 |
| 3 | Simple Propagation with Arc-Reversal in Bayesian Networks | 2018 | 1 |
| 4 | 2017 | 4 | |
| 5 | Testing Independencies in Bayesian Networks with i-Separation. | 2016 | 1 |
| 6 | Bayesian Network Inference with Simple Propagation | 2016 | 1 |
| 7 | Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks | 2016 | 2 |
| 8 | 2015 | 3 | |
| 9 | 2015 | 25 | |
| 10 | 2013 | 2 | |
| 11 | 2011 | 6 | |
| 12 | 2010 | 0 | |
| 13 | A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference | 2009 | 3 |
| 14 | 2008 | 6 | |
| 15 | 2008 | 30 | |
| 16 | 2007 | 105 | |
| 17 | 2006 | 47 | |
| 18 | 2004 | 368 | |
| 19 | 2004 | 16 | |
| 20 | A method for implementing a probabilistic model as a relational database | 1995 | 29 |
About Cory J. Butz
Cory J. Butz is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (31 papers), Data Quality and Management (15 papers), Data Management and Algorithms (11 papers), AI-based Problem Solving and Planning (9 papers), Rough Sets and Fuzzy Logic (9 papers), Advanced Database Systems and Queries (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (394 citations), Information Systems (507 citations) and Signal Processing (226 citations). Cory J. Butz has collaborated with scholars based in Canada, Denmark and Poland. Frequent co-authors include Hong Yao, Howard J. Hamilton, Pawan Lingras, Hua Song, S. K. M. Wong, Dan Wu, Yang Xiang, Aijun An, Guoyin Wang and Sheela Ramanna. Their work appears in journals such as European Journal of Operational Research, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.
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.