David Bamman
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Natural Language Processing Techniques 27
- Topic Modeling 23
- Advanced Text Analysis Techniques 7
- Semantic Web and Ontologies 6
- Authorship Attribution and Profiling 4
- General Social Sciences top 0.2%
- Computational and Text Analysis Methods 9
- Communication top 5%
- Language and Linguistics top 2%
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- Digital Humanities and Scholarship 6
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- Music and Audio Processing 6
- Co-authors
- Li LucyNoah A. SmithGregory CraneBrendan O’ConnorTed UnderwoodStuart RussellYi WuChris Dyer
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Language Resources and Evaluation (1 paper)Journal on Computing and Cultural Heritage (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
David Bamman
51 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Health Informatics 53
- Artificial Intelligence 1.0k
- General Social Sciences 97
- Communication 146
- Language and Linguistics 177
Countries citing papers authored by David Bamman
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 40 | |
| 6 | 2023 | 0 | |
| 7 | Gender and Representation Bias in GPT-3 Generated Storiesbreakdown → | 2021 | 164 |
| 8 | 2021 | 13 | |
| 9 | 2019 | 30 | |
| 10 | 2019 | 39 | |
| 11 | 2018 | 26 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 124 | |
| 14 | Natural Language Processing for the Long Tail. | 2017 | 5 |
| 15 | 2014 | 116 | |
| 16 | 2012 | 190 | |
| 17 | Corpus Linguistics, Treebanks and the Reinvention of Philology. | 2010 | 2 |
| 18 | The annotation guidelines of the Latin Dependency Treebank and Index Thomisticus Treebank. The treatment of some specific syntactic constructions in Latin | 2008 | 14 |
| 19 | The Latin Dependency Treebank in a Cultural Heritage Digital Library | 2007 | 17 |
| 20 | Proceedings of the 30th annual Boston University Conference on Language Development | 2006 | 249 |
About David Bamman
David Bamman is a scholar working on General Social Sciences, Artificial Intelligence, Human-Computer Interaction, Literature and Literary Theory and Signal Processing, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (23 papers), Computational and Text Analysis Methods (9 papers), Advanced Text Analysis Techniques (7 papers), Digital Humanities and Scholarship (6 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 (53 citations), Artificial Intelligence (1.0k citations), General Social Sciences (97 citations), Communication (146 citations) and Language and Linguistics (177 citations). David Bamman has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Li Lucy, Noah A. Smith, Noah A. Smith, Gregory Crane, 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, Language Resources and Evaluation, Journal on Computing and Cultural Heritage, First Monday and Annals of the American Thoracic Society.
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.