Edwin Simpson

22 papers receiving 259 citations

Peers

Edwin Simpson
Comparison fields: 5 of 70
  • Health Informatics 10
  • Computer Science Applications 32
  • Artificial Intelligence 167
  • Management Science and Operations Research 27
  • Information Systems and Management 14
Replace Marco Fisichella with:
Marco Fisichella Germany
Saverio Lemma Italy
K. R. Chowdhary India
Stephen Macke United States
Basma Alharbi Saudi Arabia
Gwendal Daniel Spain
I‐Ching Hsu Taiwan
Piero Molino Italy
Saleh Naif Almuayqil Saudi Arabia
Edwin Simpson relative to Marco Fisichella Germany Marco Fisichella's profile →
Citations per field
00.5×5.3×
Marco Fisichella · 1×
Citations per year

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-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.

Border = papers with Edwin Simpson Line = papers co-authored together Edwin Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201645
3 200926
4 201425
5 201524
6 201920
7 201920
8 202119
9 202414
10 201510
11 20206
12 20235
13 20213
14
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
20192
15
Bayesian Ensembles of Crowds and Deep Learners for Sequence Tagging.
20182
16
Ranking Warrants with Pairwise Preference Learning
20201
17 20241
18 20201
19 20131
20 20201

About Edwin Simpson

Edwin Simpson is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Social Psychology and Experimental and Cognitive Psychology, having authored 25 papers that have together received 273 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Natural Language Processing Techniques (4 papers), Multimodal Machine Learning Applications (3 papers), Advanced Text Analysis Techniques (3 papers), Humor Studies and Applications (3 papers), Language, Metaphor, and Cognition (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (10 citations), Computer Science Applications (32 citations), Artificial Intelligence (167 citations), Management Science and Operations Research (27 citations) and Information Systems and Management (14 citations). Edwin Simpson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Iryna Gurevych, Stephen Roberts, Tristan Miller, Nicholas R. Jennings, Steven Reece, Andreas Rücklé, Stephen Pulman, Trung Dong Huynh, Sarvapali D. Ramchurn and Tom Rodden. Their work appears in journals such as Scientific Reports, IEEE Internet Computing, Transactions of the Association for Computational Linguistics, Journal of Artificial Intelligence Research and International Journal for Population Data Science.

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.

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