John V. McDonnell

2.3k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

John V. McDonnell is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Science Applications. According to data from OpenAlex, John V. McDonnell has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Experimental and Cognitive Psychology and 3 papers in Computer Science Applications. Recurrent topics in John V. McDonnell's work include Mobile Crowdsensing and Crowdsourcing (3 papers), Child and Animal Learning Development (2 papers) and Modular Robots and Swarm Intelligence (1 paper). John V. McDonnell is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (3 papers), Child and Animal Learning Development (2 papers) and Modular Robots and Swarm Intelligence (1 paper). John V. McDonnell collaborates with scholars based in United States, United Kingdom and Germany. John V. McDonnell's co-authors include Todd M. Gureckis, Matthew J. C. Crump, Anna Coenen, Patricia P. Chan, Jessica B. Hamrick, Emmanuel M. Pothos, Alexander Rich, Jay B. Martin, Doug Markant and David Halpern and has published in prestigious journals such as PLoS ONE, Cognition and Cognitive Science.

In The Last Decade

John V. McDonnell

7 papers receiving 1.4k citations

Hit Papers

Evaluating Amazon's Mechanical Turk as a Tool for Experim... 2013 2026 2017 2021 2013 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John V. McDonnell United States 6 527 363 317 236 235 10 1.5k
Anne M. Scheel Netherlands 8 439 0.8× 352 1.0× 318 1.0× 349 1.5× 213 0.9× 11 1.9k
Sabina Kleitman Australia 25 331 0.6× 598 1.6× 391 1.2× 684 2.9× 406 1.7× 53 2.5k
Peter A. Bibby United Kingdom 19 226 0.4× 235 0.6× 302 1.0× 220 0.9× 244 1.0× 34 1.3k
Paul Rodway United Kingdom 16 451 0.9× 257 0.7× 167 0.5× 290 1.2× 82 0.3× 49 1.5k
Tom E Hardwicke United States 18 265 0.5× 262 0.7× 225 0.7× 171 0.7× 101 0.4× 36 1.9k
A. Susan M. Niessen Netherlands 15 226 0.4× 197 0.5× 200 0.6× 288 1.2× 340 1.4× 33 1.4k
Dylan Molenaar Netherlands 23 302 0.6× 668 1.8× 145 0.5× 190 0.8× 194 0.8× 76 2.0k
Matthew J. C. Crump United States 21 1.9k 3.6× 679 1.9× 328 1.0× 462 2.0× 510 2.2× 49 3.0k
Kathleen M. Galotti United States 21 166 0.3× 216 0.6× 211 0.7× 312 1.3× 376 1.6× 49 1.6k
Matthew C. Makel United States 23 209 0.4× 780 2.1× 304 1.0× 368 1.6× 382 1.6× 62 2.5k

Countries citing papers authored by John V. McDonnell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John V. McDonnell

This figure shows the co-authorship network connecting the top 25 collaborators of John V. McDonnell. A scholar is included among the top collaborators of John V. McDonnell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John V. McDonnell. John V. McDonnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Eargle, David, Todd M. Gureckis, Alexander Rich, John V. McDonnell, & Jay B. Martin. (2020). psiTurk: An open platform for science on Amazon Mechanical Turk. Figshare.
2.
Gureckis, Todd M., Jay B. Martin, John V. McDonnell, et al.. (2015). psiTurk: An open-source framework for conducting replicable behavioral experiments online. Behavior Research Methods. 48(3). 829–842. 136 indexed citations
3.
Coenen, Anna, Douglas Markant, Jay B. Martin, et al.. (2014). Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. Cognitive Science. 36(36).
4.
Coenen, Anna, Douglas Markant, Jay B. Martin, & John V. McDonnell. (2013). Using Mechanical Turk and PsiTurk for Dynamic Web Experiments.. Cognitive Science. 35(35). 1 indexed citations
5.
Crump, Matthew J. C., John V. McDonnell, & Todd M. Gureckis. (2013). Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research. PLoS ONE. 8(3). e57410–e57410. 1168 indexed citations breakdown →
6.
McDonnell, John V., et al.. (2012). Sparse category labels obstruct generalization of category membership. Cognitive Science. 34(34). 6 indexed citations
7.
Pothos, Emmanuel M., et al.. (2011). Measuring category intuitiveness in unconstrained categorization tasks. Cognition. 121(1). 83–100. 36 indexed citations
8.
Pothos, Emmanuel M., Robert M. Nosofsky, John Paul Minda, et al.. (2011). Formal Approaches in Categorization. Cambridge University Press eBooks. 137 indexed citations
9.
Giordano, Bruno L., John V. McDonnell, & Stephen McAdams. (2010). Hearing living symbols and nonliving icons: Category specificities in the cognitive processing of environmental sounds. Brain and Cognition. 73(1). 7–19. 42 indexed citations
10.
McDonnell, John V., et al.. (2010). Memory Spot: A Labeling Technology. IEEE Pervasive Computing. 9(2). 11–17. 4 indexed citations

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.

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