Science Explorer Back to mapMap
Discussion
Researcher · University of California, Berkeley · United States

David Bamman

David Bamman publishes mostly in Artificial Intelligence, Literature and Literary Theory and Computer Vision and Pattern Recognition, on topics such as Natural Language Processing Techniques, Topic Modeling and Computational and Text Analysis Methods.

ORCID 0009-0003-1171-9408 OpenAlex
World rank
#110,061
of 7,710,434 ranked researchers
Rank in United States
#42,017
of 1,627,098
Works
109
Citations
3.6k
Citations per work
32.8
h-index
29
i10-index 50Top 5.3% in Artificial Intelligence
David Bamman

What does David Bamman research?

David Bamman's work is mostly in Computer Science (50%), Arts and Humanities (13%), Social Sciences (5%).

Physical Sciences: 55 works · 50.2% of their workComputer Science: 55 works · 50.2% of their workArtificial Intelligence: 44 works · 40.8% of their workComputer Vision and Pattern Recognition: 6 works · 5.7% of their workSignal Processing: 4 works · 3.7% of their workEverything else: 35 works · 32.0% of their workSocial Sciences: 19 works · 17.8% of their workArts and Humanities: 14 works · 13.1% of their workLiterature and Literary Theory: 9 works · 8.4% of their workLanguage and Linguistics: 5 works · 4.7% of their workSocial Sciences: 5 works · 4.7% of their workGeneral Social Sciences: 5 works · 4.7% of their workTHEIR WORKDavid Bamman109works
Physical Sciences50%Social Sciences18%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science5550.2%
  2. Everything else3532.0%
    1. Arts and Humanities1413.1%
    2. Social Sciences54.7%
  1. 1Artificial Intelligence41% of their works
  2. 2Literature and Literary Theory8% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4General Social Sciences5% of their works
  5. 5Language and Linguistics5% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe David Bamman's research?

The keywords of their largest research topics: Topic Modeling, Neural Networks, Text Classification, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Word Representation and Machine Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Topic Modeling512 topics
  2. Neural Networks472 topics
  3. Text Classification462 topics
  4. Neural Machine Translation401 topic
  5. Statistical Machine Translation401 topic
  6. Machine Translation371 topic
  7. Word Representation371 topic
  8. Machine Learning232 topics
  9. Computational Text Analysis141 topic
  10. Social Science Research141 topic
  11. Digital Humanities131 topic
  12. Literary History131 topic
  13. Automatic101 topic
  14. Extraction101 topic
  15. Authorship Attribution91 topic
  16. Stylometry91 topic
  17. Audio Signal Classification81 topic
  18. Music Information Retrieval81 topic
  19. Ontology61 topic
  20. Semantic Web61 topic

Where does David Bamman work?

David Bamman's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does David Bamman have?

OpenAlex counts 109 works and 3,572 citations for David Bamman, an h-index of 29, ranking #110,061 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about David Bamman. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.