Edwin Simpson

1.4k total citations
25 papers, 273 citations indexed

About

Edwin Simpson is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Edwin Simpson has authored 25 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computer Science Applications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Edwin Simpson's work include Topic Modeling (11 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Natural Language Processing Techniques (4 papers). Edwin Simpson is often cited by papers focused on Topic Modeling (11 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Natural Language Processing Techniques (4 papers). Edwin Simpson collaborates with scholars based in United Kingdom, United States and Germany. Edwin Simpson's co-authors include Iryna Gurevych, Stephen Roberts, Tristan Miller, Nicholas R. Jennings, Steven Reece, Luc Moreau, Gözde Gül Şahin, Sarvapali D. Ramchurn, Andreas Rücklé and Mohsen Mesgar and has published in prestigious journals such as Scientific Reports, IEEE Internet Computing and Journal of Artificial Intelligence Research.

In The Last Decade

Edwin Simpson

22 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Edwin Simpson United Kingdom	10	167	37	36	32	31	25	273
Saverio Lemma Italy	9	125 0.7×	22 0.6×	67 1.9×	41 1.3×	54 1.7×	19	247
Neil Ireson United Kingdom	9	118 0.7×	31 0.8×	29 0.8×	22 0.7×	80 2.6×	27	303
K. R. Chowdhary India	4	123 0.7×	17 0.5×	21 0.6×	13 0.4×	34 1.1×	8	252
Zhaoman Zhong China	9	132 0.8×	18 0.5×	48 1.3×	29 0.9×	81 2.6×	27	271
Dimitris Kotzinos France	10	168 1.0×	51 1.4×	22 0.6×	10 0.3×	55 1.8×	31	327
Marco Fisichella Germany	11	179 1.1×	25 0.7×	42 1.2×	20 0.6×	54 1.7×	44	313
Yanghe Pan China	6	123 0.7×	37 1.0×	14 0.4×	20 0.6×	45 1.5×	19	255
Huibing Zhang China	9	147 0.9×	35 0.9×	15 0.4×	66 2.1×	51 1.6×	51	275
Basma Alharbi Saudi Arabia	8	148 0.9×	34 0.9×	16 0.4×	62 1.9×	25 0.8×	21	250

Countries citing papers authored by Edwin Simpson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Edwin Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin Simpson. A scholar is included among the top collaborators of Edwin Simpson 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 Edwin Simpson. Edwin Simpson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Haworth, Claire M. A., et al.. (2025). Active night-time tweeting is associated with meaningfully lower mental wellbeing in a UK birth cohort study. Scientific Reports. 15(1). 34301–34301.

Simpson, Edwin, et al.. (2025). How well can LLMs grade essays in Arabic?. Computers and Education Artificial Intelligence. 9. 100449–100449.

Clatworthy, Philip, et al.. (2024). Automated Radiology Report Generation: A Review of Recent Advances. IEEE Reviews in Biomedical Engineering. 18. 368–387. 14 indexed citations

Davis, Oliver S. P., et al.. (2024). The dynamics of emotion expression on Twitter and mental health in a UK longitudinal study. International Journal for Population Data Science. 9(4). 1 indexed citations

Simpson, Edwin, et al.. (2023). Analysis of ‘One in a Million’ primary care consultation conversations using natural language processing. BMJ Health & Care Informatics. 30(1). e100659–e100659. 5 indexed citations

Fornaciari, Tommaso, Tristan Miller, Jon Chamberlain, et al.. (2021). SemEval-2021 Task 12: Learning with Disagreements. 338–347. 19 indexed citations

Simpson, Edwin. (2021). Clustering Tags in Enterprise and Web Folksonomies. Proceedings of the International AAAI Conference on Web and Social Media. 2(1). 222–223.

Ye, Yuxuan & Edwin Simpson. (2021). A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning. Bristol Research (University of Bristol). 25–31. 1 indexed citations

Simpson, Edwin, et al.. (2020). Ranking Warrants with Pairwise Preference Learning. 3–34. 1 indexed citations

10.

Simpson, Edwin, Jonas Pfeiffer, & Iryna Gurevych. (2020). Low Resource Sequence Tagging with Weak Labels. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8862–8869. 6 indexed citations

11.

Simpson, Edwin, Yang Gao, & Iryna Gurevych. (2020). Interactive Text Ranking with Bayesian Optimization: A Case Study on Community QA and Summarization. Transactions of the Association for Computational Linguistics. 8. 759–775. 1 indexed citations

12.

Miller, Tristan, et al.. (2019). OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. TUbilio (Technical University of Darmstadt). 180–190. 2 indexed citations

13.

Simpson, Edwin, et al.. (2019). Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning. Explore Bristol Research. 5716–5728. 20 indexed citations

14.

Eger, Steffen, Gözde Gül Şahin, Andreas Rücklé, et al.. (2019). Text Processing Like Humans Do: Visually Attacking and Shielding. Explore Bristol Research. 1634–1647. 45 indexed citations

15.

Simpson, Edwin & Iryna Gurevych. (2019). A Bayesian Approach for Sequence Tagging with Crowds. Bristol Research (University of Bristol). 20 indexed citations

16.

Simpson, Edwin & Iryna Gurevych. (2018). Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging.. arXiv (Cornell University). 2 indexed citations

17.

Ramchurn, Sarvapali D., Trung Dong Huynh, Feng Wu, et al.. (2015). HAC-ER: A Disaster Response System based on Human-Agent Collectives. Adaptive Agents and Multi-Agents Systems. 533–541. 24 indexed citations

18.

Simpson, Edwin, Matteo Venanzi, Steven Reece, et al.. (2015). Language Understanding in the Wild. ePrints Soton (University of Southampton). 992–1002. 10 indexed citations

19.

Pulman, Stephen, et al.. (2014). Predicting Economic Indicators from Web Text Using Sentiment Composition. International Journal of Computer and Communication Engineering. 3(2). 109–115. 25 indexed citations

20.

Erickson, John, Susan H. Spence, David Banks, et al.. (2009). Content-Centered Collaboration Spaces in the Cloud. IEEE Internet Computing. 13(5). 34–42. 26 indexed citations

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.

Explore authors with similar magnitude of impact