Brandon Malone
Impact in
- Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference
Papers in
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- Data Quality and Management 5
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Changhe YuanSusan M. BridgesZhaohua PengMatti JärvisaloChristoph DieterichJian ZhangHana MujahidBabi Ramesh Reddy Nallamilli
- Journals
- BMC Bioinformatics (3 papers)Journal of Clinical Oncology (2 papers)PLoS Genetics (1 paper)Life Science Alliance (1 paper)Microbial Genomics (1 paper)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Brandon Malone
28 papers receiving 592 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 168
- Management Science and Operations Research 60
- Molecular Biology 291
- Cancer Research 55
- Plant Science 94
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 104 | |
| 6 | AS-ASL: Algorithm Selection with Auto-sklearn | 2017 | 4 |
| 7 | 2017 | 52 | |
| 8 | Impact of learning strategies on the quality of Bayesian networks: an empirical evaluation | 2015 | 9 |
| 9 | Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability | 2014 | 34 |
| 10 | Finding optimal Bayesian network structures with constraints learned from data | 2014 | 24 |
| 11 | 2014 | 5 | |
| 12 | 2013 | 84 | |
| 13 | 2013 | 8 | |
| 14 | 2012 | 66 | |
| 15 | Improving the scalability of optimal Bayesian network learning with external-memory frontier breadth-first branch and bound search | 2011 | 17 |
| 16 | 2011 | 47 | |
| 17 | 2011 | 32 | |
| 18 | 2009 | 6 | |
| 19 | 2008 | 1 | |
| 20 | A comprehensive problem for algorithm and paradigm visualization | 2006 | 0 |
About Brandon Malone
Brandon Malone is a scholar working on Management Science and Operations Research, Hardware and Architecture, Artificial Intelligence, Computer Science Applications and Clinical Biochemistry, having authored 29 papers that have together received 605 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Machine Learning and Algorithms (5 papers), Data Quality and Management (5 papers), Distributed and Parallel Computing Systems (3 papers), AI-based Problem Solving and Planning (3 papers), Parallel Computing and Optimization Techniques (3 papers), Immunotherapy and Immune Responses (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Artificial Intelligence (168 citations), Management Science and Operations Research (60 citations), Molecular Biology (291 citations), Cancer Research (55 citations) and Plant Science (94 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, Matti Järvisalo, Christoph Dieterich, Jian Zhang, Hana Mujahid, Babi Ramesh Reddy Nallamilli, Eric A. Hansen and Feng Tan. Their work appears in journals such as BMC Bioinformatics, Journal of Clinical Oncology, PLoS Genetics, Life Science Alliance and Microbial Genomics.
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.