Edwin Simpson
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Data Stream Mining Techniques
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Sentiment Analysis and Opinion Mining
Papers in
-
- Topic Modeling 14
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 4
- Data Stream Mining Techniques 3
- Explainable Artificial Intelligence (XAI) 3
- Gaussian Processes and Bayesian Inference 3
-
- Mobile Crowdsensing and Crowdsourcing 9
- Co-authors
- Stephen John Roberts (7 shared papers)Iryna Gurevych (13 shared papers)Ioannis Psorakis (1 shared paper)Arfon M. Smith (1 shared paper)Tristan Miller (3 shared papers)Steven Reece (6 shared papers)Nicholas R. Jennings (4 shared papers)Feng Wu (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (3 papers)Machine Learning (1 paper)IEEE Internet Computing (1 paper)Journal of Artificial Intelligence Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Edwin Simpson
34 papers receiving 620 citations
Peers
Comparison fields: 5 of 96
- Computer Science Applications 116
- Artificial Intelligence 358
- Instrumentation 30
- Health Informatics 12
- Ecological Modeling 21
Countries citing papers authored by Edwin Simpson
This map shows the geographic impact of Edwin Simpson'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 Edwin Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Simpson more than expected).
Fields of papers citing papers by Edwin Simpson
This network shows the impact of papers produced by Edwin Simpson. 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 Edwin Simpson. The network helps show where Edwin Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin Simpson, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 98 | |
| 2 | 2015 | 93 | |
| 3 | 2016 | 59 | |
| 4 | 2019 | 57 | |
| 5 | 2023 | 57 | |
| 6 | 2015 | 31 | |
| 7 | 2019 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2009 | 29 | |
| 10 | 2014 | 27 | |
| 11 | 2024 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2019 | 22 | |
| 14 | 2015 | 15 | |
| 15 | 2020 | 9 | |
| 16 | 2023 | 6 | |
| 17 | 2018 | 4 | |
| 18 | 2009 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 4 |
About Edwin Simpson
Edwin Simpson is a scholar working on Artificial Intelligence, Computer Science Applications, Signal Processing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 38 papers that have together received 650 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (4 papers), Data Stream Mining Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Gaussian Processes and Bayesian Inference (3 papers). The work is most often cited by research in Computer Science Applications (116 citations), Artificial Intelligence (358 citations), Instrumentation (30 citations), Health Informatics (12 citations) and Ecological Modeling (21 citations). Edwin Simpson has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stephen John Roberts, Iryna Gurevych, Ioannis Psorakis, Arfon M. Smith, Tristan Miller, Steven Reece, Nicholas R. Jennings, Feng Wu, Tom A. Rodden and Majid Mirmehdi. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Machine Learning, IEEE Internet Computing, Journal of Artificial Intelligence Research and Scientific Reports.
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.