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.
Representing Text for Joint Embedding of Text and Knowledge Bases
2015401 citationsKristina Toutanova, Danqi Chen et al.profile →
Predicting Depression via Social Media
2021399 citationsMunmun De Choudhury, Michael Gamon et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Michael Gamon'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 Gamon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gamon more than expected).
This network shows the impact of papers produced by Michael Gamon. 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 Gamon. The network helps show where Michael Gamon may publish in the future.
Co-authorship network of co-authors of Michael Gamon
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gamon.
A scholar is included among the top collaborators of Michael Gamon 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 Gamon. Michael Gamon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Helen J., Michael Gamon, Shamsi T. Iqbal, et al.. (2015). The activity platform. 22–22.1 indexed citations
3.
Toutanova, Kristina, Danqi Chen, Patrick Pantel, et al.. (2015). Representing Text for Joint Embedding of Text and Knowledge Bases. 1499–1509.401 indexed citations breakdown →
4.
Mansour, Riham, et al.. (2013). Revisiting the Old Kitchen Sink: Do we Need Sentiment Domain Adaptation?. Recent Advances in Natural Language Processing. 420–427.5 indexed citations
5.
Kıcıman, Emre, Munmun De Choudhury, Scott Counts, Michael Gamon, & Bo Thiesson. (2013). Analyzing Social Media Relationships in Context with Discussion Graphs. VBN Forskningsportal (Aalborg Universitet).1 indexed citations
6.
Quirk, Chris, Pallavi Choudhury, Jianfeng Gao, et al.. (2012). MSR SPLAT, a language analysis toolkit. North American Chapter of the Association for Computational Linguistics. 21–24.21 indexed citations
7.
Pantel, Patrick, Thomas Lin, & Michael Gamon. (2012). Mining Entity Types from Query Logs via User Intent Modeling. Meeting of the Association for Computational Linguistics. 1. 563–571.34 indexed citations
8.
Sajjad, Hassan, Patrick Pantel, & Michael Gamon. (2012). Underspecified Query Refinement via Natural Language Question Generation. International Conference on Computational Linguistics. 2341–2356.6 indexed citations
9.
Artzi, Yoav, Patrick Pantel, & Michael Gamon. (2012). Predicting Responses to Microblog Posts. North American Chapter of the Association for Computational Linguistics. 602–606.61 indexed citations
10.
Quirk, Chris, Pallavi Choudhury, Michael Gamon, & Lucy Vanderwende. (2011). MSR-NLP Entry in BioNLP Shared Task 2011. Meeting of the Association for Computational Linguistics. 155–163.23 indexed citations
11.
Gamon, Michael. (2011). High-Order Sequence Modeling for Language Learner Error Detection. 180–189.17 indexed citations
12.
Gamon, Michael. (2010). Using mostly native data to correct errors in learners' writing: a meta-classifier approach. North American Chapter of the Association for Computational Linguistics. 163–171.45 indexed citations
13.
Gamon, Michael. (2010). Using Mostly Native Data to Correct Errors in Learners' Writing. North American Chapter of the Association for Computational Linguistics. 163–171.39 indexed citations
14.
Gamon, Michael, Jianfeng Gao, Chris Brockett, et al.. (2008). Using Contextual Speller Techniques and Language Modeling for ESL Error Correction. International Joint Conference on Natural Language Processing. 449–456.107 indexed citations
15.
Aue, Anthony & Michael Gamon. (2005). Customizing Sentiment Classifiers to New Domains: a Case Study. Recent Advances in Natural Language Processing.244 indexed citations
16.
Corston-Oliver, Simon, Eric K. Ringger, Michael Gamon, & Richard Campbell. (2004). Integration of Email and Task Lists..7 indexed citations
17.
Gamon, Michael, et al.. (2003). French Amalgam: a quick adaptation of a sentence realization system to French. Conference of the European Chapter of the Association for Computational Linguistics. 323–330.1 indexed citations
18.
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
19.
Gamon, Michael. (1997). The derivational formation of chain-links : minimalism and binding theory. UMI eBooks.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.