Daniel Beck
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Sentiment Analysis and Opinion Mining
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 12
- Natural Language Processing Techniques 11
- Gaussian Processes and Bayesian Inference 6
- Machine Learning and Algorithms 4
- Machine Learning and Data Classification 4
- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 3
- Co-authors
- Trevor Cohn (8 shared papers)Gholamreza Haffari (2 shared papers)Lucia Specia (9 shared papers)Kashif Shah (5 shared papers)Karin Verspoor (3 shared papers)Timothy Baldwin (2 shared papers)Christian Hardmeier (1 shared paper)Yuxia Wang (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (3 papers)Law Innovation and Technology (1 paper)Logic Journal of IGPL (1 paper)NeuroImage (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Daniel Beck
26 papers receiving 339 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 304
- Computer Vision and Pattern Recognition 62
- Information Systems 45
- Signal Processing 21
- Transportation 10
Countries citing papers authored by Daniel Beck
This map shows the geographic impact of Daniel Beck'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 Daniel Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Beck more than expected).
Fields of papers citing papers by Daniel Beck
This network shows the impact of papers produced by Daniel Beck. 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 Daniel Beck. The network helps show where Daniel Beck may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Beck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 204 | |
| 2 | 2014 | 24 | |
| 3 | 2023 | 15 | |
| 4 | 2019 | 15 | |
| 5 | SHEF-Lite: When Less is More for Translation Quality Estimation | 2013 | 13 |
| 6 | 2022 | 13 | |
| 7 | 2015 | 13 | |
| 8 | 2015 | 10 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2016 | 5 | |
| 14 | Reducing Annotation Effort for Quality Estimation via Active Learning | 2013 | 4 |
| 15 | BOSS: Bayesian Optimization over String Spaces | 2020 | 4 |
| 16 | Modelling Representation Noise in Emotion Analysis using Gaussian Processes | 2017 | 3 |
| 17 | Learning Kernels over Strings using Gaussian Processes | 2017 | 3 |
| 18 | 2023 | 3 | |
| 19 | Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components | 2006 | 2 |
| 20 | Word embeddings and discourse information for Machine Translation Quality Estimation | 2016 | 2 |
About Daniel Beck
Daniel Beck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Experimental and Cognitive Psychology, having authored 29 papers that have together received 365 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Gaussian Processes and Bayesian Inference (6 papers), Machine Learning and Algorithms (4 papers), Machine Learning and Data Classification (4 papers), Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Artificial Intelligence (304 citations), Computer Vision and Pattern Recognition (62 citations), Information Systems (45 citations), Signal Processing (21 citations) and Transportation (10 citations). Daniel Beck has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Trevor Cohn, Gholamreza Haffari, Lucia Specia, Kashif Shah, Karin Verspoor, Timothy Baldwin, Christian Hardmeier, Yuxia Wang, Joel Mackenzie and Alistair Moffat. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Law Innovation and Technology, Logic Journal of IGPL, NeuroImage and Journal of Biomedical Informatics.
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.