Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Michael Georgeff
Since
Specialization
Citations
This map shows the geographic impact of Michael Georgeff'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 Michael Georgeff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Georgeff more than expected).
Fields of papers citing papers by Michael Georgeff
This network shows the impact of papers produced by Michael Georgeff. 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 Michael Georgeff. The network helps show where Michael Georgeff may publish in the future.
Co-authorship network of co-authors of Michael Georgeff
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Georgeff.
A scholar is included among the top collaborators of Michael Georgeff 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 Michael Georgeff. Michael Georgeff is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Sweeny, Kim, Michael Georgeff, Leon Piterman, et al.. (2010). CDM-Net: A Broadband Health Network for Transforming Chronic Disease Management: Final Report March 2010. Victoria University Research Repository (Victoria University).2 indexed citations
Singh, Munindar P., Anand S. Rao, & Michael Georgeff. (1999). Formal methods in DAI: logic-based representation and reasoning. MIT Press eBooks. 331–376.39 indexed citations
Rao, Anand S. & Michael Georgeff. (1993). A model-theoretic approach to the verification of situated reasoning systems. International Joint Conference on Artificial Intelligence. 318–324.59 indexed citations
7.
Rao, Anand S. & Michael Georgeff. (1992). An Abstract Architecture for Rational Agents.. Principles of Knowledge Representation and Reasoning. 439–449.255 indexed citations
8.
Rao, Anand S., Michael Georgeff, & Liz Sonenberg. (1992). Social Plans: A Preliminary Report.31 indexed citations
9.
Georgeff, Michael, et al.. (1991). A model of events and processes. International Joint Conference on Artificial Intelligence. 506–511.5 indexed citations
10.
Rao, Anand S. & Michael Georgeff. (1991). Asymmetry thesis and side-effect problems in linear-time and branching-time intention logics. International Joint Conference on Artificial Intelligence. 498–504.41 indexed citations
Georgeff, Michael. (1989). Monitoring And Control Of Spacecraft Systems Using Procedural Reasoning. HAL (Le Centre pour la Communication Scientifique Directe).4 indexed citations
13.
Georgeff, Michael. (1988). Communication and interaction in multi-agent planning. Defense Technical Information Center (DTIC). 200–204.62 indexed citations
Georgeff, Michael. (1986). The representation of events in multiagent domains. National Conference on Artificial Intelligence. 70–75.18 indexed citations
16.
Georgeff, Michael, Amy Lansky, & Pierre Bessìère. (1985). A procedural logic. International Joint Conference on Artificial Intelligence. 516–523.33 indexed citations
17.
Georgeff, Michael. (1984). A theory of action for multiagent planning. National Conference on Artificial Intelligence. 121–125.69 indexed citations
18.
Georgeff, Michael & Chris S. Wallace. (1984). A general selection criterion for inductive inference. European Conference on Artificial Intelligence. 219–228.38 indexed citations
19.
Georgeff, Michael, et al.. (1983). Procedural expert systems. International Joint Conference on Artificial Intelligence. 151–157.29 indexed citations
20.
Georgeff, Michael. (1981). Search methods using heuristic strategies. International Joint Conference on Artificial Intelligence. 33(6). 563–568.1 indexed citations
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.