Brandon Malone

1.1k citations
29 papers · 605 indexed · h-index 13

Impact in

Papers in

Brandon Malone

28 papers receiving 592 citations

Peers

Brandon Malone
Comparison fields: 5 of 101
  • Artificial Intelligence 168
  • Management Science and Operations Research 60
  • Molecular Biology 291
  • Cancer Research 55
  • Plant Science 94
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Countries citing papers authored by Brandon Malone

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Brandon Malone Line = papers co-authored together Brandon Malone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20205
4 20191
5 2019104
6
AS-ASL: Algorithm Selection with Auto-sklearn
20174
7 201752
8
Impact of learning strategies on the quality of Bayesian networks: an empirical evaluation
20159
9
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability
201434
10
Finding optimal Bayesian network structures with constraints learned from data
201424
11 20145
12 201384
13 20138
14 201266
15
Improving the scalability of optimal Bayesian network learning with external-memory frontier breadth-first branch and bound search
201117
16 201147
17 201132
18 20096
19 20081
20
A comprehensive problem for algorithm and paradigm visualization
20060

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 J„ärvisalo, 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.

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