Michael Gamon

7.9k citations
85 papers · 3.9k indexed · 2 hit papers · h-index 33

Michael Gamon

83 papers receiving 3.5k citations

Hit Papers

Predicting Depression via Social Media3992015202620182022100200300400

Peers

Michael Gamon
Comparison fields: 5 of 108
  • Artificial Intelligence 3.1k
  • Applied Psychology 188
  • Information Systems 704
  • Communication 168
  • Statistical and Nonlinear Physics 283
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Philip Resnik United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Gamon

Since Specialization
Citations

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).

Fields of papers citing papers by Michael Gamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Michael Gamon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Gamon Line = papers co-authored together Michael Gamon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201681
2
Representing Text for Joint Embedding of Text and Knowledge Basesbreakdown →
2015401
3
The activity platform
20151
4
Analyzing Social Media Relationships in Context with Discussion Graphs
20131
5
Revisiting the Old Kitchen Sink: Do we Need Sentiment Domain Adaptation?
20135
6
Predicting Responses to Microblog Posts
201261
7
Mining Entity Types from Query Logs via User Intent Modeling
201234
8
MSR SPLAT, a language analysis toolkit
201221
9
Underspecified Query Refinement via Natural Language Question Generation
20126
10
MSR-NLP Entry in BioNLP Shared Task 2011
201123
11
High-Order Sequence Modeling for Language Learner Error Detection
201117
12
Using Mostly Native Data to Correct Errors in Learners' Writing
201039
13
Using mostly native data to correct errors in learners' writing: a meta-classifier approach
201045
14
Using Contextual Speller Techniques and Language Modeling for ESL Error Correction
2008107
15
Customizing Sentiment Classifiers to New Domains: a Case Study
2005244
16
Integration of Email and Task Lists.
20047
17
French Amalgam: a quick adaptation of a sentence realization system to French
20031
18
An Overview of Amalgam: A Machine-learned Generation Module
200230
19
The derivational formation of chain-links : minimalism and binding theory
19971
20
Testing pressure sensitive adhesives.
19903

About Michael Gamon

Michael Gamon is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Science Applications, having authored 85 papers that have together received 3.9k indexed citations. Recurring topics across this work include Topic Modeling (48 papers), Natural Language Processing Techniques (36 papers), Text Readability and Simplification (16 papers), Speech and dialogue systems (12 papers), Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (9 papers), Web Data Mining and Analysis (8 papers) and Information Retrieval and Search Behavior (8 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Applied Psychology (188 citations) and Information Systems (704 citations). Michael Gamon has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Anthony Aue, Patrick Pantel, Scott Counts, Munmun De Choudhury, Eric Horvitz, Chris Brockett, Joel Tetreault, Martin Chodorow, Claudia Leacock and Kristina Toutanova. Their work appears in journals such as CALICO Journal, Language Testing, PLoS ONE, North American Chapter of the Association for Computational Linguistics and Proceedings of the International AAAI Conference on Web and Social Media.

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.

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