David Corney
- Communication top 5%
- Artificial Intelligence top 2%
- Topic Modeling 8
- Advanced Text Analysis Techniques 4
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- Complex Network Analysis Techniques 3
- Ecological Modeling top 10%
- Information Systems top 5%
- Web Data Mining and Analysis 5
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- Smart Agriculture and AI 4
- Leaf Properties and Growth Measurement 4
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- Visual perception and processing mechanisms 3
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- Misinformation and Its Impacts 3
- Co-authors
- Jonathan Y. ClarkPaul WilkinJames CopePaolo RemagninoAyşe GökerCarlos MartinLuca Maria AielloIoannis Kompatsiaris
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Corney
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Communication 136
- Artificial Intelligence 542
- Statistical and Nonlinear Physics 208
- Ecological Modeling 57
- Information Systems 210
Countries citing papers authored by David Corney
This map shows the geographic impact of David Corney'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 David Corney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Corney more than expected).
Fields of papers citing papers by David Corney
This network shows the impact of papers produced by David Corney. 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 David Corney. The network helps show where David Corney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Corney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 39 | |
| 2 | 2021 | 88 | |
| 3 | 2021 | 6 | |
| 4 | 2019 | 131 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 3 | |
| 7 | 2015 | 2 | |
| 8 | 2015 | 1 | |
| 9 | Sweet FA: Sentiment, Swearing and Soccer. | 2014 | 3 |
| 10 | 2014 | 2 | |
| 11 | Two Sides to Every Story: Subjective Event Summarization of Sports Events using Twitter. | 2014 | 8 |
| 12 | SocialSensor: Finding Diverse Images at MediaEval 2013 | 2013 | 11 |
| 13 | Sensing Trending Topics in Twitterbreakdown → | 2013 | 280 |
| 14 | 2012 | 29 | |
| 15 | 2012 | 282 | |
| 16 | 2012 | 16 | |
| 17 | 2010 | 4 | |
| 18 | 2009 | 42 | |
| 19 | 2007 | 38 | |
| 20 | 2002 | 19 |
About David Corney
David Corney is a scholar working on Communication, Artificial Intelligence, Statistical and Nonlinear Physics, Analytical Chemistry and Information Systems, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Web Data Mining and Analysis (5 papers), Advanced Text Analysis Techniques (4 papers), Smart Agriculture and AI (4 papers), Leaf Properties and Growth Measurement (4 papers), Visual perception and processing mechanisms (3 papers), Misinformation and Its Impacts (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Communication (136 citations), Artificial Intelligence (542 citations), Statistical and Nonlinear Physics (208 citations), Ecological Modeling (57 citations) and Information Systems (210 citations). David Corney has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Jonathan Y. Clark, Paul Wilkin, James Cope, Paolo Remagnino, Ayşe Göker, Carlos Martin, Luca Maria Aiello, Ioannis Kompatsiaris, William B. Langdon and Symeon Papadopoulos. Their work appears in journals such as ACM SIGIR Forum, PLoS ONE, Bioinformatics, Nature Machine Intelligence and British Food Journal.
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.