This map shows the geographic impact of Brian Milch'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 Brian Milch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Milch more than expected).
This network shows the impact of papers produced by Brian Milch. 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 Brian Milch. The network helps show where Brian Milch may publish in the future.
Co-authorship network of co-authors of Brian Milch
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Milch.
A scholar is included among the top collaborators of Brian Milch 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 Brian Milch. Brian Milch is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Milch, Brian. (2008). Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning. 248–255.1 indexed citations
3.
McAllester, David, Brian Milch, & Noah D. Goodman. (2008). Random-World Semantics and Syntactic Independence for Expressive Languages. DSpace@MIT (Massachusetts Institute of Technology).3 indexed citations
4.
Hendler, James, Philipp Cimiano, Dmitri Dolgov, et al.. (2008). AI's 10 to Watch. IEEE Intelligent Systems. 23(3). 9–19.2 indexed citations
5.
Milch, Brian & Daphne Koller. (2008). Ignorable Information in Multi-Agent Scenarios. DSpace@MIT (Massachusetts Institute of Technology).6 indexed citations
6.
Milch, Brian, et al.. (2008). Lifted probabilistic inference with counting formulas. DSpace@MIT (Massachusetts Institute of Technology). 1062–1068.88 indexed citations
7.
Zettlemoyer, Luke, Brian Milch, & Leslie Pack Kaelbling. (2008). Multi-Agent Filtering with Infinitely Nested Beliefs. 21. 1905–1912.15 indexed citations
8.
Kersting, Kristian, et al.. (2007). Reasoning about Large Populations with Lifted Probabilistic Inference. Neural Information Processing Systems.1 indexed citations
Russell, Stuart & Brian Milch. (2006). Probabilistic models with unknown objects.23 indexed citations
11.
Milch, Brian, et al.. (2005). Approximate inference for infinite contingent Bayesian networks. International Conference on Artificial Intelligence and Statistics. 238–245.27 indexed citations
12.
Henzinger, Monika, Bay-Wei Chang, Brian Milch, & Sergey Brin. (2005). Query-Free News Search. World Wide Web. 8(2). 101–126.25 indexed citations
Koller, Daphne & Brian Milch. (2001). Structured models for multi-agent interactions. 233–248.
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.