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.
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
20171.3k citationsRobert E. Speer, Catherine Havasi et al.Proceedings of the AAAI Conference on Artificial Intelligenceprofile →
New Avenues in Opinion Mining and Sentiment Analysis
2013791 citationsErik Cambria, Björn W. Schuller et al.IEEE Intelligent Systemsprofile →
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
2016389 citationsRobert E. Speer, Catherine Havasi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Catherine Havasi
Since
Specialization
Citations
This map shows the geographic impact of Catherine Havasi'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 Catherine Havasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Havasi more than expected).
Fields of papers citing papers by Catherine Havasi
This network shows the impact of papers produced by Catherine Havasi. 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 Catherine Havasi. The network helps show where Catherine Havasi may publish in the future.
Co-authorship network of co-authors of Catherine Havasi
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Havasi.
A scholar is included among the top collaborators of Catherine Havasi 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 Catherine Havasi. Catherine Havasi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Speer, Robert E. & Catherine Havasi. (2012). Representing General Relational Knowledge in ConceptNet 5. Language Resources and Evaluation. 3679–3686.223 indexed citations
Havasi, Catherine, et al.. (2011). Comparing Matrix Decomposition Methods for Meta-Analysis and Reconstruction of Cognitive Neuroscience Results. The Florida AI Research Society.6 indexed citations
Havasi, Catherine, et al.. (2010). Open mind common sense: crowd-sourcing for common sense. National Conference on Artificial Intelligence. 53–53.7 indexed citations
8.
Havasi, Catherine, Doug Lenat, & Benjamin Van Durme. (2010). Commonsense knowledge : papers from the AAAI Fall Symposium.4 indexed citations
9.
Arnold, Kenneth C., et al.. (2010). Envisioning a robust, scalable metacognitive architecture built on dimensionality reduction. National Conference on Artificial Intelligence. 2–5.3 indexed citations
10.
Cambria, Erik, Robert E. Speer, Catherine Havasi, & Amir Hussain. (2010). SenticNet: A Publicly Available Semantic Resource for Opinion Mining. Stirling Online Research Repository (University of Stirling). 14–18.180 indexed citations
11.
Havasi, Catherine, et al.. (2010). Reducing the dimensionality of data streams using common sense. National Conference on Artificial Intelligence. 16–21.1 indexed citations
Cambria, Erik, Amir Hussain, Catherine Havasi, Chris Eckl, & James B. Munro. (2010). Towards Crowd Validation of the UK National Health Service.25 indexed citations
15.
Speer, Robert E., Catherine Havasi, & Henry Lieberman. (2008). AnalogySpace: reducing the dimensionality of common sense knowledge. National Conference on Artificial Intelligence. 548–553.89 indexed citations
16.
Havasi, Catherine, James Pustejovsky, & Marc Verhagen. (2006). BULB: A Unified Lexical Browser.. Language Resources and Evaluation. 2253–2258.2 indexed citations
17.
Rumshisky, Anna, Patrick Hanks, Catherine Havasi, & James Pustejovsky. (2006). Constructing a Corpus-based Ontology Using Model Bias.. The Florida AI Research Society. 24(4). 327–332.17 indexed citations
18.
Pustejovsky, James, et al.. (2006). Towards a Generative Lexical Resource: The Brandeis Semantic Ontology.. Language Resources and Evaluation. 1702–1705.40 indexed citations
Havasi, Catherine & Jesse Snedeker. (2004). The Adaptability of Language Specific Verb Lexicalization Biases. eScholarship (California Digital Library). 26(26).6 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.