Michael Jugovac
- Information Systems top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Dietmar JannachLukas LercheIman KamehkhoshIngrid NunesHartmut H. HolzmüllerSören KöcherChristoph TrattnerMalte Ludewig
- Topics
- Recommender Systems and Techniques (12 papers)Advanced Bandit Algorithms Research (9 papers)Consumer Market Behavior and Pricing (5 papers)
In The Last Decade
Michael Jugovac
17 papers receiving 666 citations
Peers
Comparison fields: 5 of 56
- Information Systems 518
- Artificial Intelligence 309
- Management Science and Operations Research 176
- Sociology and Political Science 148
- Computer Vision and Pattern Recognition 118
Countries citing papers authored by Michael Jugovac
This map shows the geographic impact of Michael Jugovac'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 Jugovac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jugovac more than expected).
Fields of papers citing papers by Michael Jugovac
This network shows the impact of papers produced by Michael Jugovac. 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 Jugovac. The network helps show where Michael Jugovac may publish in the future.
Co-authorship network of co-authors of Michael Jugovac
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Jugovac. A scholar is included among the top collaborators of Michael Jugovac 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 Jugovac. Michael Jugovac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 18 | |
| 3 | 26 | |
| 4 | 198 | |
| 5 | 8 | |
| 6 | 26 | |
| 7 | 47 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 102 | |
| 11 | Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process. | 3 |
| 12 | 10 | |
| 13 | 76 | |
| 14 | Item Familiarity Effects in User-Centric Evaluations of Recommender Systems | 4 |
| 15 | 11 | |
| 16 | 139 | |
| 17 | 4 |
About Michael Jugovac
Michael Jugovac is a scholar working on General Decision Sciences, Management Science and Operations Research and Marketing, having authored 17 papers that have together received 691 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Advanced Bandit Algorithms Research (9 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in Information Systems (518 citations), Management Science and Operations Research (176 citations) and Marketing (93 citations). Michael Jugovac has collaborated with scholars based in Germany, Austria and Brazil. Frequent co-authors include Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Ingrid Nunes, Hartmut H. Holzmüller, Sören Köcher, Christoph Trattner and Malte Ludewig. Their work appears in journals such as Expert Systems with Applications, Journal of Retailing and Information Processing & Management.
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.