Eyal Péer

1.3k total citations
32 papers, 753 citations indexed

About

Eyal Péer is a scholar working on Sociology and Political Science, Applied Psychology and General Decision Sciences. According to data from OpenAlex, Eyal Péer has authored 32 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 12 papers in Applied Psychology and 11 papers in General Decision Sciences. Recurrent topics in Eyal Péer's work include Behavioral Health and Interventions (12 papers), Decision-Making and Behavioral Economics (11 papers) and Privacy, Security, and Data Protection (7 papers). Eyal Péer is often cited by papers focused on Behavioral Health and Interventions (12 papers), Decision-Making and Behavioral Economics (11 papers) and Privacy, Security, and Data Protection (7 papers). Eyal Péer collaborates with scholars based in Israel, United States and Italy. Eyal Péer's co-authors include Serge Egelman, Eyal Gamliel, Marian Harbach, Alessandro Acquisti, Alisa Frik, Nathan Malkin, Arunesh Mathur, Maya Bar‐Hillel, Sonam Samat and Laura Brandimarte and has published in prestigious journals such as Computers in Human Behavior, Journal of Experimental Psychology Learning Memory and Cognition and Accident Analysis & Prevention.

In The Last Decade

Eyal Péer

30 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eyal Péer Israel	16	323	231	122	104	98	32	753
Eloïse Coupey United States	12	296 0.9×	42 0.2×	40 0.3×	69 0.7×	3 0.0×	33	745
James Dalziel Australia	14	138 0.4×	227 1.0×	13 0.1×	58 0.6×	81 0.8×	52	1.0k
Marilyn Giroux New Zealand	13	512 1.6×	33 0.1×	64 0.5×	168 1.6×	2 0.0×	23	1.0k
Hylton Boothroyd	8	71 0.2×	10 0.0×	57 0.5×	67 0.6×	22 0.2×	10	615
Eeva Raita Finland	5	610 1.9×	60 0.3×	116 1.0×	70 0.7×	8 0.1×	7	896
Markus Weinmann Liechtenstein	12	303 0.9×	93 0.4×	68 0.6×	77 0.7×		30	867
Mengyang Cao United States	12	158 0.5×	48 0.2×	81 0.7×	178 1.7×	3 0.0×	22	777
Xiaoxiao Hu China	14	179 0.6×	30 0.1×	46 0.4×	215 2.1×	63 0.6×	44	647
Kyle B. Murray Canada	17	376 1.2×	47 0.2×	105 0.9×	150 1.4×		51	909
Bob Fields United Kingdom	14	147 0.5×	72 0.3×	82 0.7×	101 1.0×	7 0.1×	51	875

Countries citing papers authored by Eyal Péer

Since Specialization

Citations

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

Fields of papers citing papers by Eyal Péer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eyal Péer

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

All Works

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20 of 20 papers shown

Péer, Eyal, et al.. (2024). “Protect Me Tomorrow”: Commitment Nudges to Remedy Compromised Passwords. ACM Transactions on Computer-Human Interaction. 31(5). 1–25.

Gamliel, Eyal & Eyal Péer. (2021). When two wrongs make a right: The efficiency-consumption gap under separate vs. joint evaluations. Judgment and Decision Making. 16(1). 94–113. 1 indexed citations

Péer, Eyal, Serge Egelman, Marian Harbach, et al.. (2020). Nudge me right: Personalizing online security nudges to people's decision-making styles. Computers in Human Behavior. 109. 106347–106347. 78 indexed citations

Péer, Eyal & Eyal Gamliel. (2020). Too reliable to be true? Response bias as a potential source of inflation in paper-and-pencil questionnaire reliability. Practical assessment, research & evaluation. 16(9). 1–8. 9 indexed citations

Péer, Eyal, et al.. (2019). Do minorities like nudges? The role of group norms in attitudes towards behavioral policy. Judgment and Decision Making. 14(1). 40–50. 18 indexed citations

Frik, Alisa, Nathan Malkin, Marian Harbach, Eyal Péer, & Serge Egelman. (2019). A Promise Is A Promise. 1–12. 8 indexed citations

Egelman, Serge, Marian Harbach, & Eyal Péer. (2016). Behavior Ever Follows Intention?. 5257–5261. 45 indexed citations

Gamliel, Eyal & Eyal Péer. (2016). The Average Fuel‐Efficiency Fallacy: Overestimation of Average Fuel Efficiency and How It Can Lead to Biased Decisions. Journal of Behavioral Decision Making. 30(2). 435–445. 3 indexed citations

Péer, Eyal, Sonam Samat, Laura Brandimarte, & Alessandro Acquisti. (2015). Beyond the Turk: An Empirical Comparison of Alternative Platforms for Online Behavioral Research. SSRN Electronic Journal. 31 indexed citations

10.

Egelman, Serge & Eyal Péer. (2015). The Myth of the Average User. 16–28. 67 indexed citations

11.

Péer, Eyal, Gabriele Paolacci, Pam Mueller, Jesse Chandler, & Kate A. Ratliff. (2014). Non-Naïve Participants Can Reduce Effect Sizes. OSF Preprints (OSF Preprints). 2 indexed citations

12.

Bar‐Hillel, Maya, Eyal Péer, & Alessandro Acquisti. (2014). “Heads or tails?”—A reachability bias in binary choice.. Journal of Experimental Psychology Learning Memory and Cognition. 40(6). 1656–1663. 23 indexed citations

13.

Péer, Eyal & Eyal Gamliel. (2013). Pace yourself: Improving time-saving judgments when increasing activity speed. Judgment and Decision Making. 8(2). 106–115. 16 indexed citations

14.

Péer, Eyal, et al.. (2012). Professionally biased: Misestimations of driving speed, journey time and time-savings among taxi and car drivers. Judgment and Decision Making. 7(2). 165–172. 15 indexed citations

15.

Péer, Eyal, et al.. (2012). When two motivations race: The effects of time-saving bias and sensation-seeking on driving speed choices. Accident Analysis & Prevention. 50. 1135–1139. 12 indexed citations

16.

Péer, Eyal & Eyal Gamliel. (2012). Estimating time savings: The use of the proportion and percentage heuristics and the role of need for cognition. Acta Psychologica. 141(3). 352–359. 19 indexed citations

17.

Gamliel, Eyal & Eyal Péer. (2010). Attribute framing affects the perceived fairness of health care allocation principles. Judgment and Decision Making. 5(1). 11–20. 39 indexed citations

18.

Péer, Eyal. (2010). Exploring the time-saving bias: How drivers misestimate time saved when increasing speed. Judgment and Decision Making. 5(7). 477–488. 21 indexed citations

19.

Péer, Eyal. (2010). Speeding and the time-saving bias: How drivers’ estimations of time saved in higher speed affects their choice of speed. Accident Analysis & Prevention. 42(6). 1978–1982. 36 indexed citations

20.

Gamliel, Eyal & Eyal Péer. (2009). Effect of Framing on Applicants' Reactions to Personnel Selection Methods. International Journal of Selection and Assessment. 17(3). 282–289. 5 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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