Berkeley J. Dietvorst

4.2k total citations · 2 hit papers
21 papers, 2.5k citations indexed

About

Berkeley J. Dietvorst is a scholar working on General Decision Sciences, Management Science and Operations Research and Safety Research. According to data from OpenAlex, Berkeley J. Dietvorst has authored 21 papers receiving a total of 2.5k 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 6 papers in Safety Research. Recurrent topics in Berkeley J. Dietvorst's work include Decision-Making and Behavioral Economics (11 papers), Forecasting Techniques and Applications (7 papers) and Behavioral Health and Interventions (5 papers). Berkeley J. Dietvorst is often cited by papers focused on Decision-Making and Behavioral Economics (11 papers), Forecasting Techniques and Applications (7 papers) and Behavioral Health and Interventions (5 papers). Berkeley J. Dietvorst collaborates with scholars based in United States and Spain. Berkeley J. Dietvorst's co-authors include Cade Massey, Joseph P. Simmons, Daniel M. Bartels, Uri Simonsohn, Maurice E. Schweitzer, Hengchen Dai, Katherine L. Milkman, Oleg Urminsky, Christian Hildebrand and Julian De Freitas and has published in prestigious journals such as Academy of Management Journal, Management Science and Journal of Consumer Research.

In The Last Decade

Berkeley J. Dietvorst

18 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Algorithm aversion: People erroneously avoid algorithms after seeing them err.

2014 1.4k citations Berkeley J. Dietvorst, Joseph P. Simmons et al. Journal of Experimental Psychology General profile →
Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them

2016 676 citations Berkeley J. Dietvorst, Joseph P. Simmons et al. Management Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Berkeley J. Dietvorst United States	10	1.1k	848	551	407	372	21	2.5k
Cade Massey United States	14	1.1k 1.0×	783 0.9×	666 1.2×	394 1.0×	392 1.1×	21	2.9k
Chiara Longoni United States	10	507 0.5×	785 0.9×	662 1.2×	356 0.9×	294 0.8×	19	1.9k
Andrea Bonezzi United States	13	374 0.3×	508 0.6×	922 1.7×	293 0.7×	406 1.1×	25	2.1k
Natali Helberger Netherlands	32	825 0.8×	970 1.1×	2.1k 3.9×	215 0.5×	128 0.3×	150	4.2k
Theo Araujo Netherlands	24	457 0.4×	1.3k 1.5×	1.5k 2.8×	165 0.4×	437 1.2×	71	3.0k
Ella Glikson Israel	12	424 0.4×	546 0.6×	374 0.7×	110 0.3×	501 1.3×	21	1.7k
Solon Barocas United States	20	1.4k 1.3×	1.2k 1.4×	919 1.7×	241 0.6×	50 0.1×	48	3.1k
Christoph Luetge Germany	11	889 0.8×	503 0.6×	311 0.6×	332 0.8×	109 0.3×	38	1.9k
Tina Blegind Jensen Denmark	14	287 0.3×	177 0.2×	581 1.1×	75 0.2×	119 0.3×	57	1.8k
Mari‐Klara Stein Denmark	12	285 0.3×	176 0.2×	460 0.8×	85 0.2×	156 0.4×	38	1.2k

Countries citing papers authored by Berkeley J. Dietvorst

Since Specialization

Citations

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

Fields of papers citing papers by Berkeley J. Dietvorst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berkeley J. Dietvorst. 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 Berkeley J. Dietvorst. The network helps show where Berkeley J. Dietvorst may publish in the future.

Co-authorship network of co-authors of Berkeley J. Dietvorst

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Dietvorst, Berkeley J.. (2025). Understanding when laypeople adopt predictive algorithms. Nature Human Behaviour. 9(5). 851–853.

2.

Urminsky, Oleg & Berkeley J. Dietvorst. (2024). Taking the Full Measure: Integrating Replication into Research Practice to Assess Generalizability. Journal of Consumer Research. 51(1). 157–168. 5 indexed citations

3.

Dietvorst, Berkeley J., et al.. (2024). How Should Time Estimates Be Structured to Increase Customer Satisfaction?. Management Science. 71(9). 7497–7515.

4.

Valenzuela, Ana, Stefano Puntoni, Donna L. Hoffman, et al.. (2024). How Artificial Intelligence Constrains the Human Experience. Journal of the Association for Consumer Research. 9(3). 241–256. 26 indexed citations

5.

Lin, Fei & Berkeley J. Dietvorst. (2023). Prediction by Replication: People Prefer Prediction Algorithms That Replicate the Event Being Predicted. Journal of the Association for Consumer Research. 9(3). 306–318. 2 indexed citations

6.

Dietvorst, Berkeley J., et al.. (2023). Reason Defaults: Presenting Defaults With Reasons for Choosing Each Option Helps Decision-Makers With Minority Interests. Psychological Science. 34(12). 1363–1376. 1 indexed citations

7.

Dietvorst, Berkeley J. & Daniel M. Bartels. (2021). Consumers Object to Algorithms Making Morally Relevant Tradeoffs Because of Algorithms’ Consequentialist Decision Strategies. Journal of Consumer Psychology. 32(3). 406–424. 52 indexed citations

8.

Dietvorst, Berkeley J. & Fei Lin. (2021). People Take More Risk When Their Prospects are Tied to Future States of The World. SSRN Electronic Journal.

9.

Dietvorst, Berkeley J. & Daniel M. Bartels. (2021). Consumers Object to Algorithms Making Morally Relevant Tradeoffs Because of Algorithms’ Consequentialist Decision Strategies. SSRN Electronic Journal. 4 indexed citations

10.

Dietvorst, Berkeley J., et al.. (2020). People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error. Psychological Science. 31(10). 1302–1314. 153 indexed citations

11.

Dietvorst, Berkeley J., et al.. (2019). People Reject Even the Best Possible Algorithm in Uncertain Decision Domains. SSRN Electronic Journal. 6 indexed citations

12.

Dietvorst, Berkeley J., et al.. (2019). Critical Condition: People Don’t Dislike a Corporate Experiment More Than They Dislike Its Worst Condition. Marketing Science. 39(6). 1092–1104. 12 indexed citations

13.

Dietvorst, Berkeley J. & Uri Simonsohn. (2018). Intentionally “biased”: People purposely use to-be-ignored information, but can be persuaded not to.. Journal of Experimental Psychology General. 148(7). 1228–1238. 12 indexed citations

14.

Dietvorst, Berkeley J.. (2016). Overcoming Algorithm Aversion. OSF Preprints (OSF Preprints). 1 indexed citations

15.

Dietvorst, Berkeley J.. (2016). People Reject (Superior) Algorithms Because They Compare Them to Counter-Normative Reference Points. SSRN Electronic Journal. 4 indexed citations

16.

Dietvorst, Berkeley J., Joseph P. Simmons, & Cade Massey. (2016). Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them. Management Science. 64(3). 1155–1170. 676 indexed citations breakdown →

17.

Dietvorst, Berkeley J., Joseph P. Simmons, & Cade Massey. (2015). Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them. SSRN Electronic Journal. 9 indexed citations

18.

Dietvorst, Berkeley J., Joseph P. Simmons, & Cade Massey. (2014). Algorithm aversion: People erroneously avoid algorithms after seeing them err.. Journal of Experimental Psychology General. 144(1). 114–126. 1386 indexed citations breakdown →

19.

Dietvorst, Berkeley J., Joseph P. Simmons, & Cade Massey. (2014). Understanding Algorithm Aversion: Forecasters Erroneously Avoid Algorithms After Seeing them Err. Academy of Management Proceedings. 2014(1). 12227–12227. 19 indexed citations

20.

Dietvorst, Berkeley J., Joseph P. Simmons, & Cade Massey. (2014). Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err. SSRN Electronic Journal. 131 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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