Jack Arnal

10 papers receiving 517 citations

Jack Arnal's Hit Papers

The Psychological Science Accelerator: Advancing Psychology Through a Distributed Collaborative Network 2018 · 240 citations
2400+2+5Years since publication50100150200

Peers

Jack Arnal
Comparison fields: 5 of 60
  • General Psychology 36
  • Statistics, Probability and Uncertainty 116
  • Cognitive Neuroscience 182
  • Information Systems and Management 74
  • Experimental and Cognitive Psychology 127
Replace Cody Daniel Christopherson with:
Cody Daniel Christopherson United States
Gwendolyn Gardiner United States
Mitchell M. Metzger United States
Pratibha Kujur India
Margaret Messiah Singh India
Noorshama Parveen India
Sraddha Pradhan India
Christopher J. N. Lustgraaf United States
Aurélien Allard Switzerland
Madhavi Menon United States
Jack Arnal relative to Cody Daniel Christopherson United States Cody Daniel Christopherson's profile →
Citations per field
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Cody Daniel Christopherson · 1×
Citations per year

Countries citing papers authored by Jack Arnal

Since Specialization
Citations

This map shows the geographic impact of Jack Arnal'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 Jack Arnal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Arnal more than expected).

Fields of papers citing papers by Jack Arnal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Arnal. 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 Jack Arnal. The network helps show where Jack Arnal may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack Arnal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Arnal Line = papers co-authored together Jack Arnal links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
The Psychological Science Accelerator: Advancing Psychology Through a Distributed Collaborative Network
Hit paper breakdown →
2018240
2 2005101
3 202070
4 201640
5 201129
6 200828
7 200618
8 200913
9 20204
10 20203

About Jack Arnal

Jack Arnal is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics, Probability and Uncertainty, Social Psychology and General Psychology, having authored 10 papers that have together received 546 indexed citations. Recurring topics across this work include Memory Processes and Influences (4 papers), Psychology Research and Bibliometrics (3 papers), Meta-analysis and systematic reviews (2 papers), Deception detection and forensic psychology (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper), Decision-Making and Behavioral Economics (1 paper), Social and Intergroup Psychology (1 paper) and Categorization, perception, and language (1 paper). The work is most often cited by research in General Psychology (36 citations), Statistics, Probability and Uncertainty (116 citations), Cognitive Neuroscience (182 citations), Information Systems and Management (74 citations) and Experimental and Cognitive Psychology (127 citations). Jack Arnal has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include James Michael Lampinen, Juliana K. Leding, Jason L. Hicks, Stephen Worth Michael, Andrew M. Sherrill, Nicole M. Capezza, Marianna E. Carlucci, Anita Eerland, Rolf Antonius Zwaan and Jason M. Prenoveau. Their work appears in journals such as Advances in Methods and Practices in Psychological Science, Applied Cognitive Psychology, Psychology Crime and Law, Journal of Interpersonal Violence and Perspectives on Psychological Science.

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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