Brandon Malone
Impact in
- Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference
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- Data Quality and Management
Papers in
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- Bayesian Modeling and Causal Inference 14
- Machine Learning and Algorithms 6
- AI-based Problem Solving and Planning 6
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- Data Quality and Management 7
- Co-authors
- Changhe Yuan (7 shared papers)Susan M. Bridges (5 shared papers)Zhaohua Peng (2 shared papers)Zhifa Liu (1 shared paper)Matti Järvisalo (5 shared papers)Eric A. Hansen (2 shared papers)Babi Ramesh Reddy Nallamilli (1 shared paper)Christoph Dieterich (3 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Journal of Clinical Oncology (2 papers)Life Science Alliance (1 paper)Microbial Genomics (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Brandon Malone
33 papers receiving 674 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 216
- Management Science and Operations Research 80
- Molecular Biology 285
- Cancer Research 53
- Software 11
Countries citing papers authored by Brandon Malone
This map shows the geographic impact of Brandon Malone'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 Brandon Malone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Malone more than expected).
Fields of papers citing papers by Brandon Malone
This network shows the impact of papers produced by Brandon Malone. 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 Brandon Malone. The network helps show where Brandon Malone may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Malone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2013 | 88 | |
| 3 | 2012 | 75 | |
| 4 | 2017 | 52 | |
| 5 | 2011 | 48 | |
| 6 | Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability | 2014 | 40 |
| 7 | 2011 | 35 | |
| 8 | 2011 | 33 | |
| 9 | 2014 | 32 | |
| 10 | Finding optimal Bayesian network structures with constraints learned from data | 2014 | 25 |
| 11 | Improving the scalability of optimal Bayesian network learning with external-memory frontier breadth-first branch and bound search | 2011 | 19 |
| 12 | 2014 | 17 | |
| 13 | Impact of learning strategies on the quality of Bayesian networks: an empirical evaluation | 2015 | 13 |
| 14 | 2016 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2014 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2015 | 7 |
About Brandon Malone
Brandon Malone is a scholar working on Artificial Intelligence, Management Science and Operations Research, Molecular Biology, Information Systems and Computer Networks and Communications, having authored 34 papers that have together received 690 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (14 papers), Data Quality and Management (7 papers), Machine Learning and Algorithms (6 papers), AI-based Problem Solving and Planning (6 papers), Immunotherapy and Immune Responses (3 papers), Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers) and Teaching and Learning Programming (2 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Management Science and Operations Research (80 citations), Molecular Biology (285 citations), Cancer Research (53 citations) and Software (11 citations). Brandon Malone has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Changhe Yuan, Susan M. Bridges, Zhaohua Peng, Zhifa Liu, Matti Järvisalo, Eric A. Hansen, Babi Ramesh Reddy Nallamilli, Christoph Dieterich, Jian Zhang and Hana Mujahid. Their work appears in journals such as BMC Bioinformatics, Journal of Clinical Oncology, Life Science Alliance, Microbial Genomics and PLoS Genetics.
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.