Oyvind Tafjord
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Molecular Biology
- Computational Theory and Mathematics
- Co-authors
- Peter E. ClarkKevin LinMatt GardnerOren EtzioniPeter D. TurneyAshish SabharwalTushar KhotDaniel Khashabi
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (9 papers)Multimodal Machine Learning Applications (3 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Communications of the ACMAI MagazinearXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Oyvind Tafjord
13 papers receiving 247 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 243
- Computer Vision and Pattern Recognition 77
- Information Systems 26
- Molecular Biology 17
- Computational Theory and Mathematics 11
Countries citing papers authored by Oyvind Tafjord
This map shows the geographic impact of Oyvind Tafjord'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 Oyvind Tafjord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oyvind Tafjord more than expected).
Fields of papers citing papers by Oyvind Tafjord
This network shows the impact of papers produced by Oyvind Tafjord. 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 Oyvind Tafjord. The network helps show where Oyvind Tafjord may publish in the future.
Co-authorship network of co-authors of Oyvind Tafjord
This figure shows the co-authorship network connecting the top 25 collaborators of Oyvind Tafjord. A scholar is included among the top collaborators of Oyvind Tafjord based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oyvind Tafjord. Oyvind Tafjord is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 7 | |
| 7 | 25 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | Multi-class Hierarchical Question Classification for Multiple Choice Science Exams | 0 |
| 11 | 13 | |
| 12 | Extracting evidence of supplement-drug interactions from literature | 3 |
| 13 | 46 | |
| 14 | 39 | |
| 15 | 27 | |
| 16 | 70 |
About Oyvind Tafjord
Oyvind Tafjord is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pharmacology, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Artificial Intelligence (243 citations), Computer Vision and Pattern Recognition (77 citations) and Computer Science Applications (11 citations). Oyvind Tafjord has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter E. Clark, Kevin Lin, Matt Gardner, Oren Etzioni, Peter D. Turney, Ashish Sabharwal, Tushar Khot, Daniel Khashabi, Carissa Schoenick and Peter Clark. Their work appears in journals such as Communications of the ACM, AI Magazine and arXiv (Cornell University).
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.