Günter J. Hitsch
- Marketing top 0.5%
- Economics and Econometrics top 2%
- Sociology and Political Science top 5%
- Strategy and Management top 2%
- Management Science and Operations Research top 2%
- Co-authors
- Alı HortaçsuDan ArielyJean‐Pierre DubéPeter E. RossiPuneet ManchandaPradeep K. ChintaguntaAnna TuchmanBradley Shapiro
- Topics
- Consumer Market Behavior and Pricing (21 papers)Digital Platforms and Economics (10 papers)Innovation Diffusion and Forecasting (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Günter J. Hitsch
29 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Marketing 1.0k
- Economics and Econometrics 671
- Sociology and Political Science 503
- Strategy and Management 443
- Management Science and Operations Research 375
Countries citing papers authored by Günter J. Hitsch
This map shows the geographic impact of Günter J. Hitsch'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 Günter J. Hitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günter J. Hitsch more than expected).
Fields of papers citing papers by Günter J. Hitsch
This network shows the impact of papers produced by Günter J. Hitsch. 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 Günter J. Hitsch. The network helps show where Günter J. Hitsch may publish in the future.
Co-authorship network of co-authors of Günter J. Hitsch
This figure shows the co-authorship network connecting the top 25 collaborators of Günter J. Hitsch. A scholar is included among the top collaborators of Günter J. Hitsch 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 Günter J. Hitsch. Günter J. Hitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 67 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 56 | |
| 6 | 32 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 43 | |
| 10 | 266 | |
| 11 | 165 | |
| 12 | 18 | |
| 13 | 65 | |
| 14 | 28 | |
| 15 | 25 | |
| 16 | 4 | |
| 17 | 117 | |
| 18 | 65 | |
| 19 | 201 | |
| 20 | A Comparison of Discrete and Parametric Approximation Methods for Continuous-State Dynamic Programming Problems† | 31 |
About Günter J. Hitsch
Günter J. Hitsch is a scholar working on Marketing, General Decision Sciences and Management Science and Operations Research, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (21 papers), Digital Platforms and Economics (10 papers) and Innovation Diffusion and Forecasting (8 papers). The work is most often cited by research in Marketing (1.0k citations), General Decision Sciences (61 citations) and Management Science and Operations Research (375 citations). Günter J. Hitsch has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alı Hortaçsu, Dan Ariely, Jean‐Pierre Dubé, Peter E. Rossi, Puneet Manchanda, Pradeep K. Chintagunta, Anna Tuchman, Bradley Shapiro, Sanjog Misra and Pranav Jindal. Their work appears in journals such as American Economic Review, Econometrica 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.