Oliver Parson
- Building and Construction top 5%
- Building Energy and Comfort Optimization 7
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- Smart Grid Energy Management 11
- Green IT and Sustainability 3
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- Energy Efficiency and Management 2
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing 3
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- Music and Audio Processing 2
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- Data Stream Mining Techniques 2
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- Insect and Arachnid Ecology and Behavior 2
- Co-authors
- Alex RogersSiddhartha GhoshMark WealNipun BatraWilliam J. KnottenbeltAmarjeet SinghJack KellyMingjun Zhong
- Journals
- Artificial Intelligence (1 paper)Journal of Artificial Intelligence Research (1 paper)Adaptive Agents and Multi-Agents Systems (1 paper)
- Partner nations
- United KingdomIndiaGreece
In The Last Decade
Oliver Parson
14 papers receiving 542 citations
Peers
Comparison fields: 5 of 62
- Building and Construction 202
- Electrical and Electronic Engineering 455
- Developmental Biology 13
- Renewable Energy, Sustainability and the Environment 84
- Computer Science Applications 27
Countries citing papers authored by Oliver Parson
This map shows the geographic impact of Oliver Parson'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 Oliver Parson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Parson more than expected).
Fields of papers citing papers by Oliver Parson
This network shows the impact of papers produced by Oliver Parson. 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 Oliver Parson. The network helps show where Oliver Parson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oliver Parson, 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 | 2021 | 69 | |
| 2 | 2019 | 78 | |
| 3 | 2019 | 10 | |
| 4 | 2015 | 96 | |
| 5 | 2015 | 32 | |
| 6 | 2015 | 15 | |
| 7 | 2014 | 136 | |
| 8 | 2014 | 2 | |
| 9 | 2014 | 31 | |
| 10 | A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring | 2013 | 5 |
| 11 | 2013 | 13 | |
| 12 | 2013 | 29 | |
| 13 | AgentSwitch: towards smart electricity tariff selection | 2013 | 2 |
| 14 | Using Hidden Markov Models for Iterative Non-intrusive Appliance Monitoring | 2011 | 41 |
About Oliver Parson
Oliver Parson is a scholar working on Developmental Biology, Computer Science Applications and Building and Construction, having authored 14 papers that have together received 559 indexed citations. Recurring topics across this work include Smart Grid Energy Management (11 papers), Building Energy and Comfort Optimization (7 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Green IT and Sustainability (3 papers), Music and Audio Processing (2 papers), Energy Efficiency and Management (2 papers), Data Stream Mining Techniques (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Building and Construction (202 citations), Electrical and Electronic Engineering (455 citations) and Developmental Biology (13 citations). Oliver Parson has collaborated with scholars based in United Kingdom, India and Greece. Frequent co-authors include Alex Rogers, Siddhartha Ghosh, Mark Weal, Nipun Batra, William J. Knottenbelt, Amarjeet Singh, Jack Kelly, Mingjun Zhong, Paulo C. M. Meira and Rajat Kumar. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research, Adaptive Agents and Multi-Agents Systems, Spiral (Imperial College London) and arXiv (Cornell University).
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.