Daniel R. Cavagnaro

1.1k total citations
27 papers, 633 citations indexed

About

Daniel R. Cavagnaro is a scholar working on General Decision Sciences, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Daniel R. Cavagnaro has authored 27 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Decision Sciences, 9 papers in Management Science and Operations Research and 9 papers in Economics and Econometrics. Recurrent topics in Daniel R. Cavagnaro's work include Decision-Making and Behavioral Economics (11 papers), Economic and Environmental Valuation (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Daniel R. Cavagnaro is often cited by papers focused on Decision-Making and Behavioral Economics (11 papers), Economic and Environmental Valuation (9 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Daniel R. Cavagnaro collaborates with scholars based in United States, Belgium and Singapore. Daniel R. Cavagnaro's co-authors include Mark A. Pitt, Jay I. Myung, Ofir Turel, Clintin P. Davis‐Stober, Janne V. Kujala, Dar Meshi, Richard Gonzalez, Michel Regenwetter, Yingdi Wang and Berk A. Sensoy and has published in prestigious journals such as The Journal of Finance, Management Science and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Daniel R. Cavagnaro

27 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel R. Cavagnaro United States 15 193 158 134 114 113 27 633
Ruma Falk Israel 17 257 1.3× 122 0.8× 97 0.7× 201 1.8× 144 1.3× 47 1.1k
David Kellen Germany 20 290 1.5× 86 0.5× 80 0.6× 304 2.7× 620 5.5× 67 1.1k
Robert M. Roe United States 5 332 1.7× 176 1.1× 82 0.6× 78 0.7× 246 2.2× 7 588
K. I. Manktelow United Kingdom 11 355 1.8× 38 0.2× 46 0.3× 387 3.4× 156 1.4× 26 917
Shunan Zhang South Korea 17 89 0.5× 42 0.3× 78 0.6× 173 1.5× 185 1.6× 43 781
Gregg C. Oden United States 21 269 1.4× 214 1.4× 203 1.5× 408 3.6× 454 4.0× 36 1.6k
Charles F. Gettys United States 16 469 2.4× 95 0.6× 265 2.0× 314 2.8× 201 1.8× 44 1.0k
Russell Revlin United States 12 262 1.4× 17 0.1× 48 0.4× 247 2.2× 111 1.0× 28 671
Emile Servan-Schreiber United States 7 39 0.2× 184 1.2× 129 1.0× 180 1.6× 216 1.9× 10 760
Seang‐Hwane Joo United States 14 31 0.2× 46 0.3× 202 1.5× 66 0.6× 36 0.3× 46 494

Countries citing papers authored by Daniel R. Cavagnaro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Cavagnaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Cavagnaro. 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 Daniel R. Cavagnaro. The network helps show where Daniel R. Cavagnaro may publish in the future.

Co-authorship network of co-authors of Daniel R. Cavagnaro

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Cavagnaro. A scholar is included among the top collaborators of Daniel R. Cavagnaro 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 Daniel R. Cavagnaro. Daniel R. Cavagnaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cavagnaro, Daniel R., et al.. (2024). Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization. Behavior Research Methods. 56(7). 7102–7125. 1 indexed citations
2.
Cavagnaro, Daniel R. & Michel Regenwetter. (2023). Probabilistic Choice Induced by Strength of Preference. Computational Brain & Behavior. 6(4). 569–600. 2 indexed citations
3.
Cavagnaro, Daniel R. & Yingdi Wang. (2019). Institutional Investors' Investments in Private Equity: The More the Better?. International Journal of Business. 24(1). 1. 1 indexed citations
4.
Cavagnaro, Daniel R., Berk A. Sensoy, Yingdi Wang, & Michael S. Weisbach. (2019). Measuring Institutional Investors’ Skill at Making Private Equity Investments. The Journal of Finance. 74(6). 3089–3134. 32 indexed citations
5.
Zwilling, Christopher E., et al.. (2019). QTest 2.1: Quantitative testing of theories of binary choice using Bayesian inference. Journal of Mathematical Psychology. 91. 176–194. 14 indexed citations
6.
Turel, Ofir & Daniel R. Cavagnaro. (2018). Effect of Abstinence from Social Media on Time Perception: Differences between Low- and At-Risk for Social Media “Addiction” Groups. Psychiatric Quarterly. 90(1). 217–227. 31 indexed citations
7.
Regenwetter, Michel & Daniel R. Cavagnaro. (2018). Tutorial on removing the shackles of regression analysis: How to stay true to your theory of binary response probabilities.. Psychological Methods. 24(2). 135–152. 11 indexed citations
8.
Turel, Ofir, Daniel R. Cavagnaro, & Dar Meshi. (2018). Short abstinence from online social networking sites reduces perceived stress, especially in excessive users. Psychiatry Research. 270. 947–953. 65 indexed citations
9.
Cavagnaro, Daniel R. & Clintin P. Davis‐Stober. (2018). A model-based test for treatment effects with probabilistic classifications.. Psychological Methods. 23(4). 672–689. 4 indexed citations
10.
Davis‐Stober, Clintin P., et al.. (2018). Is cognitive impairment related to violations of rationality? A laboratory alcohol intoxication study testing transitivity of preference.. Decision. 6(2). 134–144. 3 indexed citations
11.
Cavagnaro, Daniel R., et al.. (2017). A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disorders. Journal of Psychiatric Research. 90. 126–132. 17 indexed citations
12.
Cavagnaro, Daniel R., et al.. (2016). On the functional form of temporal discounting: An optimized adaptive test. Journal of Risk and Uncertainty. 52(3). 233–254. 42 indexed citations
13.
Davis‐Stober, Clintin P., Nicholas J. L. Brown, & Daniel R. Cavagnaro. (2015). Individual differences in the algebraic structure of preferences. Journal of Mathematical Psychology. 66. 70–82. 15 indexed citations
14.
Cavagnaro, Daniel R. & Clintin P. Davis‐Stober. (2014). Transitive in our preferences, but transitive in different ways: An analysis of choice variability.. Decision. 1(2). 102–122. 41 indexed citations
15.
Cavagnaro, Daniel R., Jay I. Myung, & Mark A. Pitt. (2013). Mathematical Modeling. Oxford University Press eBooks. 5 indexed citations
16.
Myung, Jay I., Daniel R. Cavagnaro, & Mark A. Pitt. (2013). A tutorial on adaptive design optimization. Journal of Mathematical Psychology. 57(3-4). 53–67. 73 indexed citations
17.
Cavagnaro, Daniel R., Mark A. Pitt, Richard Gonzalez, & Jay I. Myung. (2013). Discriminating among probability weighting functions using adaptive design optimization. Journal of Risk and Uncertainty. 47(3). 255–289. 45 indexed citations
18.
Cavagnaro, Daniel R., Mark A. Pitt, & Jay I. Myung. (2010). Model discrimination through adaptive experimentation. Psychonomic Bulletin & Review. 18(1). 204–210. 23 indexed citations
19.
Cavagnaro, Daniel R., Jay I. Myung, Mark A. Pitt, & Yun Tang. (2009). Better data with fewer participants and trials: improving experiment efficiency with adaptive design optimization. eScholarship (California Digital Library). 31(31). 4 indexed citations
20.
Cavagnaro, Daniel R., Jay I. Myung, & Mark A. Pitt. (2009). Adaptive Design Optimization in Experiments with People. Neural Information Processing Systems. 22. 234–242. 8 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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