Andrew Yates
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Information Systems top 2%
- Spam and Phishing Detection
- Information Retrieval and Search Behavior
Papers in
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- Topic Modeling 51
- Natural Language Processing Techniques 20
- Advanced Text Analysis Techniques 10
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- Information Retrieval and Search Behavior 11
- Recommender Systems and Techniques 9
- Web Data Mining and Analysis 7
- Co-authors
- Jimmy Lin (9 shared papers)Rodrigo Nogueira (5 shared papers)Gerhard Weikum (7 shared papers)Nazli Goharian (24 shared papers)Kashyap Popat (2 shared papers)Subhabrata Mukherjee (2 shared papers)Ophir Frieder (15 shared papers)Arman Cohan (8 shared papers)
- Journals
- Information Retrieval (3 papers)ACM Transactions on Information Systems (2 papers)Journal of the Association for Information Science and Technology (2 papers)Language Resources and Evaluation (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Andrew Yates
77 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 790
- Information Systems 370
- Applied Psychology 38
- Computer Vision and Pattern Recognition 165
- Signal Processing 58
Countries citing papers authored by Andrew Yates
This map shows the geographic impact of Andrew Yates'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 Andrew Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Yates more than expected).
Fields of papers citing papers by Andrew Yates
This network shows the impact of papers produced by Andrew Yates. 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 Andrew Yates. The network helps show where Andrew Yates may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Yates, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 174 | |
| 2 | 2021 | 100 | |
| 3 | 2021 | 73 | |
| 4 | 2018 | 49 | |
| 5 | 2022 | 49 | |
| 6 | 2013 | 45 | |
| 7 | 2021 | 42 | |
| 8 | 2020 | 35 | |
| 9 | 2022 | 33 | |
| 10 | 2018 | 29 | |
| 11 | 2017 | 28 | |
| 12 | 2022 | 27 | |
| 13 | 2018 | 24 | |
| 14 | 2009 | 24 | |
| 15 | 2015 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2019 | 22 | |
| 19 | 2021 | 21 | |
| 20 | 2014 | 21 |
About Andrew Yates
Andrew Yates is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Management Science and Operations Research, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (51 papers), Natural Language Processing Techniques (20 papers), Biomedical Text Mining and Ontologies (15 papers), Information Retrieval and Search Behavior (11 papers), Advanced Text Analysis Techniques (10 papers), Recommender Systems and Techniques (9 papers), Web Data Mining and Analysis (7 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (790 citations), Information Systems (370 citations), Applied Psychology (38 citations), Computer Vision and Pattern Recognition (165 citations) and Signal Processing (58 citations). Andrew Yates has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Jimmy Lin, Rodrigo Nogueira, Gerhard Weikum, Nazli Goharian, Kashyap Popat, Subhabrata Mukherjee, Ophir Frieder, Arman Cohan, Kai Hui and Gerard de Melo. Their work appears in journals such as Information Retrieval, ACM Transactions on Information Systems, Journal of the Association for Information Science and Technology, Language Resources and Evaluation and Proceedings of the Royal Society B Biological Sciences.
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.