Mark Chavira

1.0k total citations
12 papers, 524 citations indexed

About

Mark Chavira is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Mark Chavira has authored 12 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Signal Processing and 2 papers in Management Science and Operations Research. Recurrent topics in Mark Chavira's work include Bayesian Modeling and Causal Inference (10 papers), AI-based Problem Solving and Planning (4 papers) and Logic, Reasoning, and Knowledge (3 papers). Mark Chavira is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), AI-based Problem Solving and Planning (4 papers) and Logic, Reasoning, and Knowledge (3 papers). Mark Chavira collaborates with scholars based in United States, Australia and Denmark. Mark Chavira's co-authors include Adnan Darwiche, Manfred Jaeger, Ole J. Mengshoel, Scott Poll, Serdar Uckun, Jinbo Huang, Arthur Choi, Knot Pipatsrisawat and David L. Allen and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and International Journal of Approximate Reasoning.

In The Last Decade

Mark Chavira

12 papers receiving 487 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Chavira United States 9 449 105 85 80 73 12 524
Scott Davies United States 8 362 0.8× 48 0.5× 109 1.3× 39 0.5× 40 0.5× 13 492
Andrew S. Miner United States 11 142 0.3× 132 1.3× 224 2.6× 24 0.3× 37 0.5× 32 427
Luca Pulina Italy 11 253 0.6× 87 0.8× 120 1.4× 36 0.5× 45 0.6× 53 372
Jürgen Wolff von Gudenberg Germany 9 103 0.2× 36 0.3× 101 1.2× 30 0.4× 43 0.6× 40 306
Richard C. T. Lee United States 9 335 0.7× 68 0.6× 266 3.1× 11 0.1× 56 0.8× 20 493
Olivier Lhomme France 8 134 0.3× 230 2.2× 108 1.3× 38 0.5× 76 1.0× 15 364
D. Dubois France 6 71 0.2× 100 1.0× 284 3.3× 47 0.6× 38 0.5× 7 481
S. Ma United States 8 242 0.5× 368 3.5× 20 0.2× 40 0.5× 32 0.4× 13 548
Jöerg Hoffmann Germany 11 404 0.9× 151 1.4× 35 0.4× 28 0.3× 24 0.3× 32 463
Djamila Sam-Haroud Switzerland 11 103 0.2× 231 2.2× 113 1.3× 43 0.5× 104 1.4× 29 361

Countries citing papers authored by Mark Chavira

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Chavira

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Chavira. A scholar is included among the top collaborators of Mark Chavira 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 Mark Chavira. Mark Chavira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Mengshoel, Ole J., et al.. (2018). Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft. Figshare. 11 indexed citations
2.
Choi, Arthur, et al.. (2012). Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks. arXiv (Cornell University). 57–66. 6 indexed citations
3.
Mengshoel, Ole J., et al.. (2010). Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 40(5). 874–885. 69 indexed citations
4.
Pipatsrisawat, Knot, et al.. (2008). Solving Weighted Max-SAT Problems in a Reduced Search Space: A Performance Analysis1. 4(2-4). 191–217. 15 indexed citations
5.
Mengshoel, Ole J., et al.. (2008). Efficient Probabilistic Diagnostics for Electrical Power Systems. NASA Technical Reports Server (NASA). 1 indexed citations
6.
Chavira, Mark & Adnan Darwiche. (2007). On probabilistic inference by weighted model counting. Artificial Intelligence. 172(6-7). 772–799. 178 indexed citations
7.
Chavira, Mark & Adnan Darwiche. (2007). Compiling Bayesian networks using variable elimination. 2443–2449. 68 indexed citations
8.
Huang, Jinbo, Mark Chavira, & Adnan Darwiche. (2006). Solving MAP exactly by searching on compiled arithmetic circuits. ANU Open Research (Australian National University). 1143–1148. 27 indexed citations
9.
Chavira, Mark, David L. Allen, & Adnan Darwiche. (2005). Exploiting evidence in probabilistic inference. Uncertainty in Artificial Intelligence. 112–119. 10 indexed citations
10.
Chavira, Mark & Adnan Darwiche. (2005). Compiling Bayesian networks with local structure. Progress in molecular biology and translational science. 195. 1306–1312. 69 indexed citations
11.
Chavira, Mark, Adnan Darwiche, & Manfred Jaeger. (2005). Compiling relational Bayesian networks for exact inference. International Journal of Approximate Reasoning. 42(1-2). 4–20. 62 indexed citations
12.
Jaeger, Manfred, Mark Chavira, & Adnan Darwiche. (2004). Compiling Relational Bayesian Networks for Exact Inference. VBN Forskningsportal (Aalborg Universitet). 8 indexed citations

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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Breakdown of academic impact, for papers by Scott Davies Breakdown of academic impact, for papers by Andrew S. Miner Breakdown of academic impact, for papers by Luca Pulina Breakdown of academic impact, for papers by Jürgen Wolff von Gudenberg Breakdown of academic impact, for papers by Richard C. T. Lee Breakdown of academic impact, for papers by Olivier Lhomme Breakdown of academic impact, for papers by D. Dubois Breakdown of academic impact, for papers by S. Ma Breakdown of academic impact, for papers by Jöerg Hoffmann Breakdown of academic impact, for papers by Djamila Sam-Haroud
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