Dani Yogatama
- Artificial Intelligence top 0.5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Noah A. SmithMichael HeilmanBrendan O’ConnorJacob EisensteinKevin GimpelDipanjan DasNathan SchneiderChris Dyer
- Topics
- Topic Modeling (25 papers)Natural Language Processing Techniques (19 papers)Text and Document Classification Technologies (6 papers)
- Journals
- Transactions of the Association for Computational LinguisticsNatural Language EngineeringEmpirical Methods in Natural Language Processing
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Dani Yogatama
28 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 1.5k
- Information Systems 211
- Computer Vision and Pattern Recognition 205
- Molecular Biology 95
- Sociology and Political Science 93
Countries citing papers authored by Dani Yogatama
This map shows the geographic impact of Dani Yogatama'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 Dani Yogatama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dani Yogatama more than expected).
Fields of papers citing papers by Dani Yogatama
This network shows the impact of papers produced by Dani Yogatama. 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 Dani Yogatama. The network helps show where Dani Yogatama may publish in the future.
Co-authorship network of co-authors of Dani Yogatama
This figure shows the co-authorship network connecting the top 25 collaborators of Dani Yogatama. A scholar is included among the top collaborators of Dani Yogatama 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 Dani Yogatama. Dani Yogatama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering | 10 |
| 6 | LiRo: Benchmark and leaderboard for Romanian language tasks | 10 |
| 7 | A Mutual Information Maximization Perspective of Language Representation Learning | 18 |
| 8 | 74 | |
| 9 | 64 | |
| 10 | 10 | |
| 11 | Memory Architectures in Recurrent Neural Network Language Models | 21 |
| 12 | 157 | |
| 13 | 1 | |
| 14 | 155 | |
| 15 | 76 | |
| 16 | 73 | |
| 17 | Efficient Transfer Learning Method for Automatic Hyperparameter Tuning | 82 |
| 18 | 13 | |
| 19 | Proceedings of the 49th Annual Meeting of the Association for Computational Linguisticsbreakdown → | 743 |
| 20 | Predicting a Scientific Community’s Response to an Article | 29 |
About Dani Yogatama
Dani Yogatama is a scholar working on Artificial Intelligence, General Social Sciences and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (19 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), General Social Sciences (37 citations) and Computer Vision and Pattern Recognition (205 citations). Dani Yogatama has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Noah A. Smith, Michael Heilman, Brendan O’Connor, Jacob Eisenstein, Kevin Gimpel, Dipanjan Das, Nathan Schneider, Chris Dyer, D. Quinn Mills and Phil Blunsom. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Natural Language Engineering and Empirical Methods in Natural Language Processing.
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.