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
-
- Mental Health Research Topics 1
- Co-authors
- Todd M. Gureckis (5 shared papers)Matthew J. C. Crump (1 shared paper)Emmanuel M. Pothos (2 shared papers)David Halpern (1 shared paper)Alexander Rich (2 shared papers)Jay B. Martin (4 shared papers)Jessica B. Hamrick (1 shared paper)Anna Coenen (3 shared papers)
- Journals
- Cognitive Science (3 papers)Cognition (1 paper)PLoS ONE (1 paper)Behavior Research Methods (1 paper)Brain and Cognition (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John V. McDonnell
7 papers receiving 1.5k citations
John V. McDonnell's Hit Papers
Peers
Comparison fields: 5 of 124
- General Decision Sciences 113
- Applied Psychology 140
- Cognitive Neuroscience 513
- Experimental and Cognitive Psychology 341
- Computer Science Applications 127
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 | 1184 |
| 2 | 2011 | 138 | |
| 3 | 2015 | 137 | |
| 4 | 2010 | 43 | |
| 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 Health and Interventions (1 paper), RFID technology advancements (1 paper), Behavioral and Psychological Studies (1 paper), Experimental Behavioral Economics Studies (1 paper), Species Distribution and Climate Change (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in General Decision Sciences (113 citations), Applied Psychology (140 citations), Cognitive Neuroscience (513 citations), Experimental and Cognitive Psychology (341 citations) and Computer Science Applications (127 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, Emmanuel M. Pothos, David Halpern, Alexander Rich, Jay B. Martin, Jessica B. Hamrick, Anna Coenen, Doug Markant and Patricia P. Chan. Their work appears in journals such as Cognitive Science, Cognition, PLoS ONE, Behavior Research Methods and Brain and Cognition.
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.