Steven M. Shugan

8.2k citations
64 papers · 5.6k indexed · 3 hit papers · h-index 29
Topics
Consumer Market Behavior and Pricing (35 papers)Digital Platforms and Economics (16 papers)Innovation Diffusion and Forecasting (9 papers)

In The Last Decade

Steven M. Shugan

62 papers receiving 5.1k citations

Hit Papers

Managing Channel Profits1980202619952010198319801997250500750

Peers

Steven M. Shugan
Comparison fields: 5 of 114
  • Marketing 3.5k
  • Economics and Econometrics 1.7k
  • Strategy and Management 1.6k
  • Management Information Systems 1.5k
  • Management Science and Operations Research 1.3k
Replace Jehoshua Eliashberg with:
Jehoshua Eliashberg United States
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Steven M. Shugan relative to Jehoshua Eliashberg United States Jehoshua Eliashberg's profile →
Citations per field
00.5×1.5×2.4×
Jehoshua Eliashberg · 1×
Citations per year

Countries citing papers authored by Steven M. Shugan

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Shugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Shugan. 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 Steven M. Shugan. The network helps show where Steven M. Shugan may publish in the future.

Co-authorship network of co-authors of Steven M. Shugan

This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Shugan. A scholar is included among the top collaborators of Steven M. Shugan 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 Steven M. Shugan. Steven M. Shugan 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 2
2 2
3 13
4 52
5
The Anna Karenina Bias: Which Variables to Observe?
5
6 11
7 21
8 23
9 74
10 189
11 133
12
Film Critics: Influencers or Predictors?breakdown →
586
13 30
14 84
15 56
16 38
17 26
18
Price-Quality Relationships
13
19
Managing Channel Profitsbreakdown →
926
20
Extended Conjoint Analysis With Intensity Measures and Computer Assisted Interviews: Applications to Telecommunication and Travel
1

About Steven M. Shugan

Steven M. Shugan is a scholar working on Marketing, General Decision Sciences and Tourism, Leisure and Hospitality Management, having authored 64 papers that have together received 5.6k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (35 papers), Digital Platforms and Economics (16 papers) and Innovation Diffusion and Forecasting (9 papers). The work is most often cited by research in Marketing (3.5k citations), General Decision Sciences (345 citations) and Management Information Systems (1.5k citations). Steven M. Shugan has collaborated with scholars based in United States, Latvia and Australia. Frequent co-authors include Abel P. Jeuland, Jehoshua Eliashberg, Jinhong Xie, John R. Hauser, Ramarao Desiraju, Sonja Radas, Mark Bergen, Shantanu Dutta, Eugene W. Anderson and Debanjan Mitra. Their work appears in journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

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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