Gary H. McClelland

13.4k citations
98 papers · 9.9k indexed · 6 hit papers · h-index 40

Gary H. McClelland

96 papers receiving 9.1k citations

Hit Papers

Misleading Heuristics and Moderated Multiple Regression M...509199020262002201450010001.5k2.0k2.5k

Peers

Gary H. McClelland
Comparison fields: 5 of 201
  • General Decision Sciences 800
  • Applied Psychology 876
  • Social Psychology 2.2k
  • Experimental and Cognitive Psychology 1.2k
  • Organizational Behavior and Human Resource Management 909
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Citations per year

Countries citing papers authored by Gary H. McClelland

Since Specialization
Citations

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

Fields of papers citing papers by Gary H. McClelland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary H. McClelland. 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 Gary H. McClelland. The network helps show where Gary H. McClelland may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gary H. McClelland, 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 Gary H. McClelland Line = papers co-authored together Gary H. McClelland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202076
2 20157
3 2014168
4 201358
5
Misleading Heuristics for Moderated Multiple Regression Models
200963
6 2009162
7
What’s Next? Judging Sequences of Binary Events
200939
8 2005327
9
Negative Consequences of Dichotomizing Continuous Predictor Variables
200333
10 20024
11
Estimating and testing mediation and moderation in within-subject designs.breakdown →
2001689
12 1995169
13
Statistical difficulties of detecting interactions and moderator effects.breakdown →
19932616
14
Hypothetical and Real Consequences in Experimental Auctions for Insurance against Low Probability Risks
199211
15 199244
16 198914
17 198743
18 19801
19
The Colorado Report on the Integration of Approaches to Judgment and Decision Making.
19782
20 19753

About Gary H. McClelland

Gary H. McClelland is a scholar working on General Decision Sciences, Statistics and Probability and Tourism, Leisure and Hospitality Management, having authored 98 papers that have together received 9.9k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (23 papers), Economic and Environmental Valuation (22 papers), Advanced Statistical Methods and Models (10 papers), Experimental Behavioral Economics Studies (7 papers), Consumer Market Behavior and Pricing (6 papers), Demographic Trends and Gender Preferences (5 papers), Housing Market and Economics (5 papers) and Forecasting Techniques and Applications (5 papers). The work is most often cited by research in General Decision Sciences (800 citations), Applied Psychology (876 citations) and Social Psychology (2.2k citations). Gary H. McClelland has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Charles M. Judd, Julie R. Irwin, William D. Schulze, James Alm, Geoff Vining, David A. Kenny, Mark A. Whisman, Virginia A. Clark, Michael L. DeKay and Carey S. Ryan. Their work appears in journals such as Journal of Personality and Social Psychology, Psychological Bulletin and Journal of the American Statistical Association.

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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