Douwe Kiela
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 5%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Alexis ConneauHolger SchwenkAntoine BordesLoïc BarraultStephen ClarkJason WestonSaizheng ZhangEmily Dinan
- Topics
- Topic Modeling (46 papers)Natural Language Processing Techniques (40 papers)Multimodal Machine Learning Applications (25 papers)
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Douwe Kiela
76 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 3.2k
- Computer Vision and Pattern Recognition 1.1k
- Information Systems 250
- Experimental and Cognitive Psychology 187
- Cognitive Neuroscience 152
Countries citing papers authored by Douwe Kiela
This map shows the geographic impact of Douwe Kiela'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 Douwe Kiela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douwe Kiela more than expected).
Fields of papers citing papers by Douwe Kiela
This network shows the impact of papers produced by Douwe Kiela. 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 Douwe Kiela. The network helps show where Douwe Kiela may publish in the future.
Co-authorship network of co-authors of Douwe Kiela
This figure shows the co-authorship network connecting the top 25 collaborators of Douwe Kiela. A scholar is included among the top collaborators of Douwe Kiela 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 Douwe Kiela. Douwe Kiela 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 | 4 | |
| 4 | 40 | |
| 5 | 29 | |
| 6 | 98 | |
| 7 | True Few-Shot Learning with Language Models | 5 |
| 8 | 55 | |
| 9 | 43 | |
| 10 | Reservoir Transformer | 3 |
| 11 | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | 2 |
| 12 | Learning Optimal Representations with the Decodable Information Bottleneck | 0 |
| 13 | Supervised Multimodal Bitransformers for Classifying Images and Text. | 2 |
| 14 | Personalizing Dialogue Agents: I have a dog, do you have pets too?breakdown → | 641 |
| 15 | Supervised Learning of Universal Sentence Representations from Natural\n Language Inference Databreakdown → | 1002 |
| 16 | Emergent Translation in Multi-Agent Communication | 5 |
| 17 | Emergent Language in a Multi-Modal, Multi-Step Referential Game. | 6 |
| 18 | Multimodal Learning and Reasoning | 4 |
| 19 | 16 | |
| 20 | UCAM-CORE: Incorporating structured distributional similarity into STS | 2 |
About Douwe Kiela
Douwe Kiela is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Topic Modeling (46 papers), Natural Language Processing Techniques (40 papers) and Multimodal Machine Learning Applications (25 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Computer Vision and Pattern Recognition (1.1k citations) and Health Informatics (33 citations). Douwe Kiela has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Alexis Conneau, Holger Schwenk, Antoine Bordes, Loïc Barrault, Stephen Clark, Jason Weston, Saizheng Zhang, Emily Dinan, Arthur Szlam and Jack Urbanek. Their work appears in journals such as Science, Journal of Neuroscience and Bioinformatics.
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.