Brigham Anderson
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Sociology and Political Science
- Management Science and Operations Research
- Cognitive Neuroscience
- Co-authors
- Carter T. ButtsKathleen M. CarleyAndrew MooreDavid CohnAndrew W. MooreAndrew J. ConnollyR. C. NicholJeff Schneider
- Topics
- Machine Learning and Algorithms (2 papers)Data Management and Algorithms (2 papers)Algorithms and Data Compression (2 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Social NetworksNeural Information Processing SystemsInternational Conference on Machine Learning
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Brigham Anderson
6 papers receiving 190 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 57
- Statistical and Nonlinear Physics 55
- Sociology and Political Science 50
- Management Science and Operations Research 22
- Cognitive Neuroscience 18
Countries citing papers authored by Brigham Anderson
This map shows the geographic impact of Brigham Anderson'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 Brigham Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigham Anderson more than expected).
Fields of papers citing papers by Brigham Anderson
This network shows the impact of papers produced by Brigham Anderson. 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 Brigham Anderson. The network helps show where Brigham Anderson may publish in the future.
Co-authorship network of co-authors of Brigham Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Brigham Anderson. A scholar is included among the top collaborators of Brigham Anderson 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 Brigham Anderson. Brigham Anderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Fast Information Value for Graphical Models | 2 |
| 4 | 34 | |
| 5 | 4 | |
| 6 | A Nonparametric Approach to Noisy and Costly Optimization | 21 |
| 7 | 139 |
About Brigham Anderson
Brigham Anderson is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 7 papers that have together received 201 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (2 papers), Data Management and Algorithms (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (55 citations), Artificial Intelligence (57 citations) and Management Science and Operations Research (22 citations). Brigham Anderson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carter T. Butts, Kathleen M. Carley, Andrew Moore, David Cohn, Andrew W. Moore, Andrew J. Connolly, R. C. Nichol, Jeff Schneider, Paul Komarek and Rémi Munos. Their work appears in journals such as Social Networks, Neural Information Processing Systems and International Conference on Machine Learning.
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.