Christine Eckert

33 papers receiving 959 citations

Christine Eckert's Hit Papers

Addressing Endogeneity Without Instrumental Variables: An Evaluation of the Gaussian Copula Approach for Management Research 2022 · 125 citations
1250+1+2Years since publication4080120

Peers

Christine Eckert
Comparison fields: 5 of 55
  • Marketing 129
  • General Decision Sciences 23
  • Accounting 119
  • Physiology 139
  • Strategy and Management 67
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Countries citing papers authored by Christine Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Christine Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Addressing Endogeneity Without Instrumental Variables: An Evaluation of the Gaussian Copula Approach for Management Research
Hit paper breakdown →
2022125
2 2014118
3 201491
4 201088
5 200557
6 201152
7 201544
8 201543
9 201635
10 201229
11 201829
12 201527
13
How much does a company's reputation matter in recruiting?
201326
14 201225
15 201321
16 201421
17 201420
18 201620
19 201319
20 201618

About Christine Eckert

Christine Eckert is a scholar working on Marketing, Physiology, Economics and Econometrics, Accounting and General Decision Sciences, having authored 36 papers that have together received 997 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (8 papers), Economic and Environmental Valuation (6 papers), Consumer Market Behavior and Pricing (4 papers), Financial Literacy, Pension, Retirement Analysis (4 papers), Decision-Making and Behavioral Economics (2 papers), Doctoral Education Challenges and Solutions (1 paper), Sports Analytics and Performance (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Marketing (129 citations), General Decision Sciences (23 citations), Accounting (119 citations), Physiology (139 citations) and Strategy and Management (67 citations). Christine Eckert has collaborated with scholars based in Australia, Germany and New Zealand. Frequent co-authors include Jordan J. Louviere, Jan Hohberger, Ricarda Steinmayr, Birgit Spinath, Paul F. Burke, Janet A Hoek, Philip J. Gendall, Stacey L. Davis, Hazel Bateman and Susan Thorp. Their work appears in journals such as Tobacco Control, International Journal of Research in Marketing, Journal of Marketing Research, Australian Journal of Management and Review of Managerial Science.

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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