Michael Scholz
About
In The Last Decade
Michael Scholz
38 papers receiving 425 citations
Peers
Comparison fields: 5 of 109
- Sociology and Political Science 156
- Marketing 143
- Artificial Intelligence 86
- Information Systems 84
- Information Systems and Management 72
Countries citing papers authored by Michael Scholz
This map shows the geographic impact of Michael Scholz'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 Michael Scholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Scholz more than expected).
Fields of papers citing papers by Michael Scholz
This network shows the impact of papers produced by Michael Scholz. 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 Michael Scholz. The network helps show where Michael Scholz may publish in the future.
Co-authorship network of co-authors of Michael Scholz
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Scholz. A scholar is included among the top collaborators of Michael Scholz 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 Michael Scholz. Michael Scholz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | Trading on Cryptocurrency Markets: Analyzing the Behavior of Bitcoin Investors | 7 |
| 4 | Online Product Descriptions – Boost for your Sales? | 1 |
| 5 | 25 | |
| 6 | What Makes a Hot Deal? Drivers of Deal Popularity in Online Deal Communities. | 1 |
| 7 | 2 | |
| 8 | 36 | |
| 9 | A Respecification of the DeLone and McLean Model to Measure the Success of an Electronic Mediated Learning Systems | 1 |
| 10 | Predicting And Economically Exploiting Utility Thresholds With Utility-Based Recommendation Systems | 3 |
| 11 | Awareness, Interest and Final Decision: The Effects of User- and Marketer-Generated Content on Consumers' Purchase Decisions | 9 |
| 12 | Think Twice Before You Buy! How Recommendations Affect Three-Stage Purchase Decision Processes | 8 |
| 13 | Does Amazon Scare Off Customers? The Effect of Negative Spotlight Reviews on Purchase Intention | 4 |
| 14 | Estimating Optimal Recommendation Set Sizes for Individual Consumers | 4 |
| 15 | Measuring Service Quality in Online Luxury Goods Retailing | 25 |
| 16 | Determinants of reverse auction results: an empirical examination of freelancer.com. | 6 |
| 17 | From Consumer Preferences Towards Buying Decisions - Conjoint Analysis as Preference Measuring Method in Product Recommender Systems | 3 |
| 18 | 34 | |
| 19 | 29 | |
| 20 | Development of a practical best management practice decision support model for planners | 1 |
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.