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.
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
1980799 citationsLee D. Erman, Victor Lesser et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of Victor Lesser'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 Victor Lesser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Lesser more than expected).
This network shows the impact of papers produced by Victor Lesser. 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 Victor Lesser. The network helps show where Victor Lesser may publish in the future.
Co-authorship network of co-authors of Victor Lesser
This figure shows the co-authorship network connecting the top 25 collaborators of Victor Lesser.
A scholar is included among the top collaborators of Victor Lesser 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 Victor Lesser. Victor Lesser 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.
Yu, Han, Chunyan Miao, Bo An, Cyril Leung, & Victor Lesser. (2013). A reputation management approach for resource constrained trustee agents. International Joint Conference on Artificial Intelligence. 418–424.26 indexed citations
Raja, Anita, et al.. (2010). Multiagent meta-level control for predicting meteorological phenomena. National Conference on Artificial Intelligence. 6–13.2 indexed citations
Shen, Jiaying, Ingo Weber, & Victor Lesser. (2005). OAR: a formal framework for multi-agent negotiation. National Conference on Artificial Intelligence. 176–183.3 indexed citations
Wagner, Thomas, et al.. (2003). The Struggle for Reuse: Pros and Cons of Generalization in TÆMS and Its Impact on Technology Transition.. 118–123.4 indexed citations
13.
Lesser, Victor, et al.. (1998). Discrepancy directed model acquisition for adaptive perceptual systems. 215–231.2 indexed citations
14.
Klassner, Frank, et al.. (1998). The role of data reprocessing in complex acoustic environments. National Conference on Artificial Intelligence. 997–1003.1 indexed citations
15.
Wagner, Thomas, Alan Garvey, & Victor Lesser. (1997). Complex Goal Criteria and Its Application in Design-to-Criteria Scheduling. National Conference on Artificial Intelligence. 294–301.36 indexed citations
16.
Decker, Keith & Victor Lesser. (1993). A one-shot dynamic coordination algorithm for distributed sensor networks. National Conference on Artificial Intelligence. 210–216.28 indexed citations
17.
Garvey, Alan, Marty Humphrey, & Victor Lesser. (1993). Task interdependencies in design-to-time real-time scheduling. National Conference on Artificial Intelligence. 580–585.26 indexed citations
18.
Durfee, Edmund H. & Victor Lesser. (1986). Incremental planning to control a blackboard-based problem solver. National Conference on Artificial Intelligence. 58–64.45 indexed citations
Lesser, Victor & Lee D. Erman. (1977). A retrospective view of the Hearsay-II architecture. International Joint Conference on Artificial Intelligence. 790–800.71 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.