Arnaud De Bruyn

23 papers receiving 1.2k citations

Hit Papers

A multi-stage model of word-of-mouth influence through vi...200820262014202020082020200400600

Peers

Arnaud De Bruyn
Comparison fields: 5 of 88
  • Sociology and Political Science 742
  • Marketing 506
  • Information Systems and Management 236
  • Organizational Behavior and Human Resource Management 191
  • Artificial Intelligence 183
Replace Mari‐Klara Stein with:
Mari‐Klara Stein Denmark
Traci J. Hess United States
Robert F. Easley United States
Jan H. Schumann Germany
Eric Shih South Korea
Nancy K. Lankton United States
Siliang Tong China
J. Sonia Huang Taiwan
Andrew Hardin United States
Joel H. Steckel United States
Arnaud De Bruyn relative to Mari‐Klara Stein Denmark Mari‐Klara Stein's profile →
Citations per field
00.5×4.8×
Mari‐Klara Stein · 1×
Citations per year

Countries citing papers authored by Arnaud De Bruyn

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud De Bruyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnaud De Bruyn. 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 Arnaud De Bruyn. The network helps show where Arnaud De Bruyn may publish in the future.

Co-authorship network of co-authors of Arnaud De Bruyn

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud De Bruyn. A scholar is included among the top collaborators of Arnaud De Bruyn 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 Arnaud De Bruyn. Arnaud De Bruyn 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
#WorkIndexed citations
1 9
2 3
3 14
4 9
5 7
6
Artificial Intelligence and Marketing: Pitfalls and Opportunitiesbreakdown →
236
7 2
8 2
9 13
10 40
11 39
12
The Impact of Anchors on Donors’ Behavior: a Field Experiment
2
13 1
14 53
15 78
16
A multi-stage model of word-of-mouth influence through viral marketingbreakdown →
641
17
Principles of Marketing Engineering
44
18
How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems
0
19 1
20
Offering online recommendations to impatient first-time customers with conjoint-based segmentation trees
2

About Arnaud De Bruyn

Arnaud De Bruyn is a scholar working on General Decision Sciences, Marketing and Safety Research, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (10 papers), Decision-Making and Behavioral Economics (7 papers) and Digital Marketing and Social Media (5 papers). The work is most often cited by research in Marketing (506 citations), Information Systems and Management (236 citations) and General Decision Sciences (45 citations). Arnaud De Bruyn has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Gary L. Lilien, Vijay Viswanathan, Florian von Wangenheim, Gary E. Bolton, Arvind Rangaswamy, Gerrit van Bruggen, Ujwal Kayandé, John Liechty, K.R.E. Huizingh and Thomas Otter. Their work appears in journals such as Management Science, Journal of Marketing Research and Journal of the Academy of Marketing 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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