Kyle Sauerberger

12 papers receiving 402 citations

Kyle Sauerberger's Hit Papers

Many Labs 3: Evaluating participant pool quality across the academic semester via replication 2016 · 298 citations
2980+3+6Years since publication50100150200250

Peers

Kyle Sauerberger
Comparison fields: 5 of 80
  • General Decision Sciences 33
  • Applied Psychology 76
  • Statistics, Probability and Uncertainty 100
  • Experimental and Cognitive Psychology 136
  • Cognitive Neuroscience 97
Replace Karin Sobocko with:
Karin Sobocko United States
Hayley M Skulborstad United States
Jaclyn M. Moloney United States
Christopher J. N. Lustgraaf United States
Ryan James Walker United States
Athena H. Cairo United States
Patrick J. Morse United States
Diane B. V. Bonfiglio United States
Miguel Alejandro A. Silan France
Komi T. German United States
Kyle Sauerberger relative to Karin Sobocko United States Karin Sobocko's profile →
Citations per field
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Karin Sobocko · 1×
Citations per year

Countries citing papers authored by Kyle Sauerberger

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Sauerberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Kyle Sauerberger, 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 Kyle Sauerberger Line = papers co-authored together Kyle Sauerberger links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Many Labs 3: Evaluating participant pool quality across the academic semester via replication
Hit paper breakdown →
2016298
2 201934
3 201521
4 201919
5 201613
6 201812
7 20198
8 20167
9 20226
10 20244
11 20224
12 20234

About Kyle Sauerberger

Kyle Sauerberger is a scholar working on Experimental and Cognitive Psychology, Applied Psychology, Clinical Psychology, Social Psychology and Literature and Literary Theory, having authored 12 papers that have together received 430 indexed citations. Recurring topics across this work include Cultural Differences and Values (4 papers), Behavioral Health and Interventions (3 papers), Media Influence and Health (2 papers), Social and Intergroup Psychology (2 papers), Personality Traits and Psychology (2 papers), Cognitive Functions and Memory (2 papers), Cognitive Abilities and Testing (2 papers) and Perfectionism, Procrastination, Anxiety Studies (2 papers). The work is most often cited by research in General Decision Sciences (33 citations), Applied Psychology (76 citations), Statistics, Probability and Uncertainty (100 citations), Experimental and Cognitive Psychology (136 citations) and Cognitive Neuroscience (97 citations). Kyle Sauerberger has collaborated with scholars based in United States, Germany and France. Frequent co-authors include David Α. Rosenbaum, David C. Funder, David C. Funder, Elysia Todd, Patrick J. Morse, Shelly Levy‐Tzedek, Aleksandra Kaurin, Thomas R. Zentall, Dawn M. McBride and Edward A. Wasserman. Their work appears in journals such as Journal of Research in Personality, Royal Society Open Science, European Journal of Personality, Journal of Personality and Psychological Research.

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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