John V. McDonnell
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Applied Psychology top 5%
- Behavioral Health and Interventions
Papers in
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- Data Stream Mining Techniques 1
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- Categorization, perception, and language 1
- Mental Health Research Topics 1
- Co-authors
- Todd M. Gureckis (5 shared papers)Matthew J. C. Crump (1 shared paper)Doug Markant (1 shared paper)Emmanuel M. Pothos (2 shared papers)Alexander Rich (2 shared papers)Jessica B. Hamrick (1 shared paper)David Halpern (1 shared paper)Anna Coenen (3 shared papers)
- Journals
- Cognitive Science (3 papers)Brain and Cognition (1 paper)IEEE Pervasive Computing (1 paper)Behavior Research Methods (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John V. McDonnell
7 papers receiving 1.4k citations
John V. McDonnell's Hit Papers
Peers
Comparison fields: 5 of 129
- General Decision Sciences 118
- Applied Psychology 165
- Experimental and Cognitive Psychology 363
- Cognitive Neuroscience 527
- Computer Science Applications 132
Countries citing papers authored by John V. McDonnell
This map shows the geographic impact of John V. McDonnell'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 John V. McDonnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John V. McDonnell more than expected).
Fields of papers citing papers by John V. McDonnell
This network shows the impact of papers produced by John V. McDonnell. 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 John V. McDonnell. The network helps show where John V. McDonnell may publish in the future.
Co-authors
The 25 scholars most cited alongside John V. McDonnell, 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 | Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research Hit paper breakdown → | 2013 | 1168 |
| 2 | 2011 | 137 | |
| 3 | 2015 | 136 | |
| 4 | 2010 | 42 | |
| 5 | 2011 | 36 | |
| 6 | Sparse category labels obstruct generalization of category membership | 2012 | 6 |
| 7 | 2010 | 4 | |
| 8 | Using Mechanical Turk and PsiTurk for Dynamic Web Experiments. | 2013 | 1 |
| 9 | Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk | 2014 | 0 |
| 10 | 2020 | 0 |
About John V. McDonnell
John V. McDonnell is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Computer Science Applications, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (3 papers), Child and Animal Learning Development (2 papers), Behavioral and Psychological Studies (1 paper), Species Distribution and Climate Change (1 paper), Categorization, perception, and language (1 paper), Data Stream Mining Techniques (1 paper), Mental Health Research Topics (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in General Decision Sciences (118 citations), Applied Psychology (165 citations), Experimental and Cognitive Psychology (363 citations), Cognitive Neuroscience (527 citations) and Computer Science Applications (132 citations). John V. McDonnell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Todd M. Gureckis, Matthew J. C. Crump, Doug Markant, Emmanuel M. Pothos, Alexander Rich, Jessica B. Hamrick, David Halpern, Anna Coenen, Jay B. Martin and Patricia P. Chan. Their work appears in journals such as Cognitive Science, Brain and Cognition, IEEE Pervasive Computing, Behavior Research Methods and PLoS ONE.
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.