David Bamman

3.5k citations
63 papers · 2.0k · 1 hit paper · h-index 25

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Authorship Attribution and Profiling

Papers in

David Bamman

58 papers receiving 1.8k citations

David Bamman's Hit Papers

Gender and Representation Bias in GPT-3 Generated Stories 2021 · 184 citations
1840+1+3Years since publication50100150

Peers

David Bamman
Comparison fields: 5 of 108
  • Health Informatics 57
  • Artificial Intelligence 1.2k
  • General Social Sciences 103
  • Communication 165
  • Language and Linguistics 247
Replace Eric Atwell with:
Eric Atwell United Kingdom
Zhiqiang Cai United States
Joel Tetreault United States
Manfred Stede Germany
Dirk Hovy Italy
Michael Gamon United States
Jill Burstein United States
Yulia Tsvetkov United States
Maite Taboada Canada
Philip M. McCarthy United States
David Bamman relative to Eric Atwell United Kingdom Eric Atwell's profile →
Citations per field
00.5×1.5×2.5×
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Citations per year

Countries citing papers authored by David Bamman

Since Specialization
Citations

This map shows the geographic impact of David Bamman'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 David Bamman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bamman more than expected).

Fields of papers citing papers by David Bamman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Bamman. 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 David Bamman. The network helps show where David Bamman may publish in the future.

Co-authors

The 25 scholars most cited alongside David Bamman, 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 David Bamman Line = papers co-authored together David Bamman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 30th annual Boston University Conference on Language Development
2006294
2 2012214
3
Gender and Representation Bias in GPT-3 Generated Stories
Hit paper breakdown →
2021184
4 2017143
5 2014124
6 2021105
7 201885
8 201152
9 201850
10 201449
11 202348
12 201944
13 202141
14
The Design and Use of a Latin Dependency Treebank
200638
15 201936
16
An Ownership Model of Annotation: The Ancient Greek Dependency Treebank
200935
17
GENDER IN TWITTER: STYLES, STANCES, AND SOCIAL NETWORKS
201235
18 201433
19 200933
20 201832

About David Bamman

David Bamman is a scholar working on Artificial Intelligence, Literature and Literary Theory, General Social Sciences, Computer Vision and Pattern Recognition and Signal Processing, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (29 papers), Topic Modeling (25 papers), Computational and Text Analysis Methods (9 papers), Digital Humanities and Scholarship (9 papers), Advanced Text Analysis Techniques (7 papers), Music and Audio Processing (6 papers), Semantic Web and Ontologies (6 papers) and Authorship Attribution and Profiling (4 papers). The work is most often cited by research in Health Informatics (57 citations), Artificial Intelligence (1.2k citations), General Social Sciences (103 citations), Communication (165 citations) and Language and Linguistics (247 citations). David Bamman has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Gregory Crane, Li Lucy, Noah A. Smith, Noah A. Smith, Brendan O’Connor, Ted Underwood, Stuart Russell, Yi Wu, Brendan O’Connor and Chris Dyer. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Journal on Computing and Cultural Heritage, CHEST Journal, Language Resources and Evaluation and Educational Researcher.

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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