Mark Chavira
Impact in
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
- Logic, Reasoning, and Knowledge
- AI-based Problem Solving and Planning
- Software top 10%
Papers in
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- Bayesian Modeling and Causal Inference 10
- AI-based Problem Solving and Planning 4
- Logic, Reasoning, and Knowledge 3
- Bayesian Methods and Mixture Models 2
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- Data Management and Algorithms 2
- Co-authors
- Adnan Darwiche (11 shared papers)Manfred Jaeger (2 shared papers)Ole J. Mengshoel (3 shared papers)Scott Poll (3 shared papers)Serdar Uckun (3 shared papers)Jinbo Huang (1 shared paper)Arthur Choi (2 shared papers)Knot Pipatsrisawat (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)International Journal of Approximate Reasoning (1 paper)IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (1 paper)Progress in molecular biology and translational science (1 paper)Uncertainty in Artificial Intelligence (1 paper)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Mark Chavira
12 papers receiving 487 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 449
- Software 53
- Computational Mathematics 5
- Signal Processing 73
- Computational Theory and Mathematics 85
Countries citing papers authored by Mark Chavira
This map shows the geographic impact of Mark Chavira'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 Mark Chavira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chavira more than expected).
Fields of papers citing papers by Mark Chavira
This network shows the impact of papers produced by Mark Chavira. 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 Mark Chavira. The network helps show where Mark Chavira may publish in the future.
Co-authors
The 9 scholars most cited alongside Mark Chavira, 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 | 2007 | 178 | |
| 2 | 2005 | 69 | |
| 3 | 2010 | 69 | |
| 4 | Compiling Bayesian networks using variable elimination | 2007 | 68 |
| 5 | 2005 | 62 | |
| 6 | Solving MAP exactly by searching on compiled arithmetic circuits | 2006 | 27 |
| 7 | 2008 | 15 | |
| 8 | 2018 | 11 | |
| 9 | Exploiting evidence in probabilistic inference | 2005 | 10 |
| 10 | Compiling Relational Bayesian Networks for Exact Inference | 2004 | 8 |
| 11 | 2012 | 6 | |
| 12 | Efficient Probabilistic Diagnostics for Electrical Power Systems | 2008 | 1 |
About Mark Chavira
Mark Chavira is a scholar working on Artificial Intelligence, Signal Processing, Management Science and Operations Research, Software and Computer Networks and Communications, having authored 12 papers that have together received 524 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), AI-based Problem Solving and Planning (4 papers), Logic, Reasoning, and Knowledge (3 papers), Data Management and Algorithms (2 papers), Software Testing and Debugging Techniques (2 papers), Bayesian Methods and Mixture Models (2 papers), Hermeneutics and Narrative Identity (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Artificial Intelligence (449 citations), Software (53 citations), Computational Mathematics (5 citations), Signal Processing (73 citations) and Computational Theory and Mathematics (85 citations). Mark Chavira has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Adnan Darwiche, Manfred Jaeger, Ole J. Mengshoel, Scott Poll, Serdar Uckun, Jinbo Huang, Arthur Choi, Knot Pipatsrisawat and David L. Allen. Their work appears in journals such as Artificial Intelligence, International Journal of Approximate Reasoning, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Progress in molecular biology and translational science and Uncertainty in 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.