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.
Audio Set: An ontology and human-labeled dataset for audio events
20171.7k citationsJort F. Gemmeke, Daniel P. W. Ellis et al.profile →
CNN architectures for large-scale audio classification
20171.4k citationsDaniel P. W. Ellis, Jort F. Gemmeke et al.profile →
Countries citing papers authored by Robert C. Moore
Since
Specialization
Citations
This map shows the geographic impact of Robert C. Moore'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 Robert C. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Moore more than expected).
This network shows the impact of papers produced by Robert C. Moore. 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 Robert C. Moore. The network helps show where Robert C. Moore may publish in the future.
Co-authorship network of co-authors of Robert C. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Moore.
A scholar is included among the top collaborators of Robert C. Moore 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 Robert C. Moore. Robert C. Moore 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.
Gemmeke, Jort F., Daniel P. W. Ellis, Aren Jansen, et al.. (2017). Audio Set: An ontology and human-labeled dataset for audio events. 776–780.1668 indexed citations breakdown →
2.
Cherry, Colin, Robert C. Moore, & Chris Quirk. (2012). On Hierarchical Re-ordering and Permutation Parsing for Phrase-based Decoding. NPARC. 200–209.12 indexed citations
Zhang, Hao, Chris Quirk, Robert C. Moore, & Daniel Gildea. (2008). Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing. Meeting of the Association for Computational Linguistics. 97–105.49 indexed citations
5.
Moore, Robert C., Jeff Bilmes, Jennifer Chu‐Carroll, & Mark Sanderson. (2006). Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers. North American Chapter of the Association for Computational Linguistics.27 indexed citations
6.
Moore, Robert C.. (2006). HLT-NAACL 2006 : Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics : proceedings of the main conference : June 4-9, 2006, New York, New York, USA.5 indexed citations
7.
Ringger, Eric K., Robert C. Moore, Eugene Charniak, Lucy Vanderwende, & Hisami Suzuki. (2004). Using the Penn Treebank to Evaluate Non-Treebank Parsers. Language Resources and Evaluation.9 indexed citations
8.
Moore, Robert C.. (2004). On Log-Likelihood-Ratios and the Significance of Rare Events.. Empirical Methods in Natural Language Processing. 333–340.61 indexed citations
9.
Corston-Oliver, Simon, Michael Gamon, Eric K. Ringger, & Robert C. Moore. (2002). An Overview of Amalgam: A Machine-learned Generation Module. 33–40.30 indexed citations
10.
Moore, Robert C.. (2000). Time as a Measure of Parsing Efficiency. International Conference on Computational Linguistics. 23–28.4 indexed citations
11.
Moore, Robert C.. (2000). Removing left recursion from context-free grammars. The COCOON platform (University of Paris). 249–255.19 indexed citations
12.
Moore, Robert C.. (1994). Integration of speech with natural language understanding. Europe PMC (PubMed Central). 254–271.9 indexed citations
13.
Shieber, Stuart M., Gertjan van Noord, Fernando C. N. Pereira, & Robert C. Moore. (1990). Semantic-head-driven generation. Computational Linguistics. 16(1). 30–42.89 indexed citations
14.
Moore, Robert C.. (1988). Is It Rational to be Logical. 363–363.2 indexed citations
15.
Alshawi, Hiyan, David M. Carter, Jan van Eijck, et al.. (1988). Overview of the Core Language Engine. Future Generation Computer Systems. 3. 1108–1115.1 indexed citations
Moore, Robert C.. (1985). The role of logic in artificial intelligence.2 indexed citations
18.
Moore, Robert C.. (1984). A Formal Theory of Knowledge and Action. Defense Technical Information Center (DTIC).294 indexed citations
19.
Moore, Robert C.. (1982). The role of logic in knowledge representation and commonsense reasoning. Defense Technical Information Center (DTIC). 428–433.64 indexed citations
20.
Moore, Robert C.. (1973). D-SCRIPT: a computational theory of descriptions. DSpace@MIT (Massachusetts Institute of Technology). 223–229.9 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.