Dolly Chugh

33 papers receiving 3.0k citations

Dolly Chugh's Hit Papers

What happens before? A field experiment exploring how pay and representation differentially shape bias on the pathway into organizations. 2015 · 321 citations
3210+6+12Years since publication250500750

Peers

Dolly Chugh
Comparison fields: 5 of 133
  • General Decision Sciences 234
  • Gender Studies 674
  • Safety Research 504
  • Information Systems and Management 333
  • Applied Psychology 192
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Countries citing papers authored by Dolly Chugh

Since Specialization
Citations

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

Fields of papers citing papers by Dolly Chugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pervasiveness and correlates of implicit attitudes and stereotypes
Hit paper breakdown →
2007795
2 2005355
3
What happens before? A field experiment exploring how pay and representation differentially shape bias on the pathway into organizations.
Hit paper breakdown →
2015321
4 2009276
5 2012191
6 2009175
7 2015158
8
How (un) ethical are you?
2003146
9 2018124
10 200496
11 201377
12
Decisions without blinders.
200674
13 200773
14 200564
15 200459
16 201454
17
Bounded Awareness: Focusing Failures in Negotiation
200640
18 201638
19 201631
20
Bounded Awareness: Focusing Failures in Negotiation
200421

About Dolly Chugh

Dolly Chugh is a scholar working on Sociology and Political Science, Social Psychology, Gender Studies, General Decision Sciences and Information Systems and Management, having authored 33 papers that have together received 3.3k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (10 papers), Gender Diversity and Inequality (7 papers), Decision-Making and Behavioral Economics (6 papers), Experimental Behavioral Economics Studies (5 papers), Ethics in Business and Education (5 papers), Cultural Differences and Values (5 papers), Behavioral Health and Interventions (3 papers) and Gender Roles and Identity Studies (3 papers). The work is most often cited by research in General Decision Sciences (234 citations), Gender Studies (674 citations), Safety Research (504 citations), Information Systems and Management (333 citations) and Applied Psychology (192 citations). Dolly Chugh has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Katherine L. Milkman, Max H. Bazerman, Modupe Akinola, Mahzarin R. Banaji, Mary C. Kern, Marianne Bertrand, Sendhil Mullainathan, Frederick L. Smyth, Kate Ranganath and Kristina R. Olson. Their work appears in journals such as Psychological Science, Journal of Behavioral Decision Making, Harvard business review, Perspectives on Psychological Science and Administrative Science Quarterly.

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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