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
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- Topic Modeling 14
- Natural Language Processing Techniques 12
- Gaussian Processes and Bayesian Inference 7
- Logic, Reasoning, and Knowledge 4
- Machine Learning and Data Classification 4
- Machine Learning and Algorithms 4
- AI-based Problem Solving and Planning 3
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- Time Series Analysis and Forecasting 4
- Co-authors
- Trevor Cohn (9 shared papers)Gholamreza Haffari (2 shared papers)Lucia Specia (10 shared papers)Gerhard Lakemeyer (5 shared papers)Alexander Ferrein (2 shared papers)Tim Niemueller (1 shared paper)Karin M. Verspoor (3 shared papers)Kashif Ur Rehman Shah (6 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (3 papers)Logic Journal of IGPL (1 paper)Journal of Biomedical Semantics (1 paper)Law Innovation and Technology (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Daniel Beck
32 papers receiving 475 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 405
- Computer Vision and Pattern Recognition 94
- Information Systems 62
- Signal Processing 28
- Software 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 254 | |
| 2 | 2010 | 42 | |
| 3 | 2014 | 30 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 17 | |
| 6 | 2019 | 15 | |
| 7 | 2015 | 15 | |
| 8 | SHEF-Lite: When Less is More for Translation Quality Estimation | 2013 | 14 |
| 9 | 2015 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 9 | |
| 12 | Learning Kernels over Strings using Gaussian Processes | 2017 | 8 |
| 13 | 2014 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2019 | 6 | |
| 16 | Modelling Representation Noise in Emotion Analysis using Gaussian Processes | 2017 | 5 |
| 17 | BOSS: Bayesian Optimization over String Spaces | 2020 | 5 |
| 18 | Reducing Annotation Effort for Quality Estimation via Active Learning | 2013 | 5 |
| 19 | 2008 | 4 | |
| 20 | 2012 | 4 |
About Daniel Beck
Daniel Beck is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Management Science and Operations Research and Experimental and Cognitive Psychology, having authored 34 papers that have together received 508 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers), Gaussian Processes and Bayesian Inference (7 papers), Logic, Reasoning, and Knowledge (4 papers), Machine Learning and Data Classification (4 papers), Time Series Analysis and Forecasting (4 papers), Machine Learning and Algorithms (4 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Artificial Intelligence (405 citations), Computer Vision and Pattern Recognition (94 citations), Information Systems (62 citations), Signal Processing (28 citations) and Software (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, Gerhard Lakemeyer, Alexander Ferrein, Tim Niemueller, Karin M. Verspoor, Kashif Ur Rehman Shah, Timothy J. Baldwin and Yuxia Wang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Logic Journal of IGPL, Journal of Biomedical Semantics, Law Innovation and Technology 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.