Andy Coenen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
Papers in
-
- Topic Modeling 5
- Natural Language Processing Techniques 3
- Computational Physics and Python Applications 1
- Neural Networks and Applications 1
- Artificial Intelligence in Games 1
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- Software Engineering Research 2
- Co-authors
- Emily Reif (4 shared papers)Ann Yuan (5 shared papers)Daphne Ippolito (2 shared papers)Cheng Zhi Huang (1 shared paper)Michael Terry (1 shared paper)Carrie J. Cai (1 shared paper)Martin Wattenberg (1 shared paper)Fernanda Viégas (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Andy Coenen
5 papers receiving 439 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Health Informatics 30
- Human-Computer Interaction 64
- Artificial Intelligence 274
- Safety Research 41
- Computer Science Applications 25
Countries citing papers authored by Andy Coenen
This map shows the geographic impact of Andy Coenen'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 Andy Coenen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Coenen more than expected).
Fields of papers citing papers by Andy Coenen
This network shows the impact of papers produced by Andy Coenen. 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 Andy Coenen. The network helps show where Andy Coenen may publish in the future.
Co-authors
The 24 scholars most cited alongside Andy Coenen, 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 | Wordcraft: Story Writing With Large Language Models Hit paper breakdown → | 2022 | 174 |
| 2 | 2020 | 142 | |
| 3 | 2020 | 73 | |
| 4 | Visualizing and Measuring the Geometry of BERT | 2019 | 70 |
| 5 | 2022 | 2 | |
| 6 | 2024 | 0 |
About Andy Coenen
Andy Coenen is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction, having authored 6 papers that have together received 461 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers), Software Engineering Research (2 papers), Music Technology and Sound Studies (1 paper), Computational Physics and Python Applications (1 paper), Innovative Human-Technology Interaction (1 paper), Neural Networks and Applications (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Health Informatics (30 citations), Human-Computer Interaction (64 citations), Artificial Intelligence (274 citations), Safety Research (41 citations) and Computer Science Applications (25 citations). Andy Coenen has collaborated with scholars based in United States. Frequent co-authors include Emily Reif, Ann Yuan, Daphne Ippolito, Cheng Zhi Huang, Michael Terry, Carrie J. Cai, Martin Wattenberg, Fernanda Viégas, Been Kim and Adam Pearce. Their work appears in journals such as Communications of the ACM and Neural Information Processing Systems.
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.