Michael Jugovac

1.2k total citations
17 papers, 691 citations indexed

About

Michael Jugovac is a scholar working on Information Systems, Management Science and Operations Research and Marketing. According to data from OpenAlex, Michael Jugovac has authored 17 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 10 papers in Management Science and Operations Research and 5 papers in Marketing. Recurrent topics in Michael Jugovac's work include Recommender Systems and Techniques (12 papers), Advanced Bandit Algorithms Research (9 papers) and Consumer Market Behavior and Pricing (5 papers). Michael Jugovac is often cited by papers focused on Recommender Systems and Techniques (12 papers), Advanced Bandit Algorithms Research (9 papers) and Consumer Market Behavior and Pricing (5 papers). Michael Jugovac collaborates with scholars based in Germany, Austria and Brazil. Michael Jugovac's co-authors include Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Ingrid Nunes, Hartmut H. Holzmüller, Sören Köcher, Christoph Trattner and Malte Ludewig and has published in prestigious journals such as Expert Systems with Applications, Journal of Retailing and Information Processing & Management.

In The Last Decade

Michael Jugovac

17 papers receiving 666 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Jugovac Germany	11	518	309	176	148	118	17	691
Himan Abdollahpouri United States	11	528 1.0×	279 0.9×	295 1.7×	101 0.7×	94 0.8×	22	675
Saúl Vargas Spain	10	717 1.4×	313 1.0×	290 1.6×	88 0.6×	182 1.5×	19	866
Anísio Lacerda Brazil	12	351 0.7×	266 0.9×	176 1.0×	85 0.6×	125 1.1×	55	665
Hyea Kyeong Kim South Korea	8	573 1.1×	232 0.8×	83 0.5×	168 1.1×	176 1.5×	16	813
Denis Kotkov Finland	10	330 0.6×	168 0.5×	100 0.6×	79 0.5×	100 0.8×	20	455
Álvaro Tejeda-Lorente Spain	11	338 0.7×	256 0.8×	108 0.6×	81 0.5×	87 0.7×	22	569
Il Young Choi South Korea	7	391 0.8×	182 0.6×	55 0.3×	155 1.0×	135 1.1×	27	602
Haggai Roitman Israel	19	402 0.8×	478 1.5×	114 0.6×	56 0.4×	142 1.2×	75	869
Palash Nandy United States	4	493 1.0×	289 0.9×	119 0.7×	121 0.8×	257 2.2×	5	765
Corinna Breitinger Germany	12	526 1.0×	509 1.6×	79 0.4×	74 0.5×	123 1.0×	26	884

Countries citing papers authored by Michael Jugovac

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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17 of 17 papers shown

Jannach, Dietmar, et al.. (2021). Exploring Multi-List User Interfaces for Similar-Item Recommendations. 224–228. 14 indexed citations

Jannach, Dietmar, Michael Jugovac, & Ingrid Nunes. (2019). Explanations and User Control in Recommender Systems. 31–31. 18 indexed citations

Köcher, Sören, Michael Jugovac, Dietmar Jannach, & Hartmut H. Holzmüller. (2018). New Hidden Persuaders: An Investigation of Attribute-Level Anchoring Effects of Product Recommendations. Journal of Retailing. 95(1). 24–41. 26 indexed citations

Jannach, Dietmar, et al.. (2018). News recommender systems – Survey and roads ahead. Information Processing & Management. 54(6). 1203–1227. 198 indexed citations

Jugovac, Michael, Ingrid Nunes, & Dietmar Jannach. (2018). Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations. 279–283. 8 indexed citations

Jugovac, Michael, et al.. (2018). Streamingrec. 269–273. 26 indexed citations

Jugovac, Michael, Dietmar Jannach, & Lukas Lerche. (2017). Efficient optimization of multiple recommendation quality factors according to individual user tendencies. Expert Systems with Applications. 81. 321–331. 47 indexed citations

Ludewig, Malte, Michael Jugovac, & Dietmar Jannach. (2017). A Light-Weight Approach to Recipient Determination When Recommending New Items. 1–6. 2 indexed citations

Jannach, Dietmar, Ingrid Nunes, & Michael Jugovac. (2017). Interacting with Recommender Systems. 25–27. 3 indexed citations

10.

Jugovac, Michael & Dietmar Jannach. (2017). Interacting with Recommenders—Overview and Research Directions. ACM Transactions on Interactive Intelligent Systems. 7(3). 1–46. 102 indexed citations

11.

Köcher, Sören, Dietmar Jannach, Michael Jugovac, & Hartmut H. Holzmüller. (2016). Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process.. NOVA (University of Newcastle, Australia). 2–5. 3 indexed citations

12.

Jannach, Dietmar, Michael Jugovac, & Lukas Lerche. (2016). Supporting the Design of Machine Learning Workflows with a Recommendation System. ACM Transactions on Interactive Intelligent Systems. 6(1). 1–35. 10 indexed citations

13.

Jannach, Dietmar, Lukas Lerche, & Michael Jugovac. (2015). Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. 211–218. 76 indexed citations

14.

Jannach, Dietmar, Lukas Lerche, & Michael Jugovac. (2015). Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. Conference on Recommender Systems. 4 indexed citations

15.

Jannach, Dietmar, Lukas Lerche, & Michael Jugovac. (2015). Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation. i-com. 14(1). 29–39. 11 indexed citations

16.

Jannach, Dietmar, Lukas Lerche, Iman Kamehkhosh, & Michael Jugovac. (2015). What recommenders recommend: an analysis of recommendation biases and possible countermeasures. User Modeling and User-Adapted Interaction. 25(5). 427–491. 139 indexed citations

17.

Jannach, Dietmar, Michael Jugovac, & Lukas Lerche. (2015). Adaptive Recommendation-based Modeling Support for Data Analysis Workflows. 252–262. 4 indexed citations

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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