Jo K. Evershed
Impact in
- Cognitive Neuroscience top 2%
- Neurobiology of Language and Bilingualism
- Face Recognition and Perception
- Neural and Behavioral Psychology Studies
- Neuroscience and Music Perception
- Hearing Loss and Rehabilitation
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- Phonetics and Phonology Research
- Multisensory perception and integration
Papers in
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- Mobile Crowdsensing and Crowdsourcing 2
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- Species Distribution and Climate Change 1
- Co-authors
- Alexander Leslie Anwyl-Irvine (2 shared papers)Natasha Z. Kirkham (1 shared paper)Adam Flitton (1 shared paper)Jessica Massonnié (1 shared paper)Edwin S. Dalmaijer (1 shared paper)Brendan J. Burkett (1 shared paper)Rebecca B. Mellifont (1 shared paper)Jade Samantha Pickering (1 shared paper)
- Journals
- Behavior Research Methods (2 papers)Frontiers in Human Neuroscience (1 paper)Physical Therapy in Sport (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
Jo K. Evershed
4 papers receiving 1.4k citations
Jo K. Evershed's Hit Papers
Peers
Comparison fields: 5 of 113
- Cognitive Neuroscience 710
- Experimental and Cognitive Psychology 484
- Developmental and Educational Psychology 342
- General Decision Sciences 26
- Linguistics and Language 60
Countries citing papers authored by Jo K. Evershed
This map shows the geographic impact of Jo K. Evershed'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 Jo K. Evershed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo K. Evershed more than expected).
Fields of papers citing papers by Jo K. Evershed
This network shows the impact of papers produced by Jo K. Evershed. 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 Jo K. Evershed. The network helps show where Jo K. Evershed may publish in the future.
Co-authors
The 10 scholars most cited alongside Jo K. Evershed, 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 | Gorilla in our midst: An online behavioral experiment builder Hit paper breakdown → | 2019 | 1166 |
| 2 | 2020 | 212 | |
| 3 | 2013 | 28 | |
| 4 | 2023 | 7 |
About Jo K. Evershed
Jo K. Evershed is a scholar working on Computer Science Applications, Ecological Modeling, Human-Computer Interaction, Information Systems and Management and Orthopedics and Sports Medicine, having authored 4 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (2 papers), Various Chemistry Research Topics (1 paper), Innovative Human-Technology Interaction (1 paper), Scientific Computing and Data Management (1 paper), Sports Performance and Training (1 paper), Species Distribution and Climate Change (1 paper) and Environmental Education and Sustainability (1 paper). The work is most often cited by research in Cognitive Neuroscience (710 citations), Experimental and Cognitive Psychology (484 citations), Developmental and Educational Psychology (342 citations), General Decision Sciences (26 citations) and Linguistics and Language (60 citations). Jo K. Evershed has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Alexander Leslie Anwyl-Irvine, Natasha Z. Kirkham, Adam Flitton, Jessica Massonnié, Edwin S. Dalmaijer, Brendan J. Burkett, Rebecca B. Mellifont, Jade Samantha Pickering, Andrew Gordon and Jamie Adams. Their work appears in journals such as Behavior Research Methods, Frontiers in Human Neuroscience and Physical Therapy in Sport.
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.