Lukas Lerche

1.1k total citations
17 papers, 538 citations indexed

About

Lukas Lerche is a scholar working on Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lukas Lerche has authored 17 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 9 papers in Management Science and Operations Research and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lukas Lerche's work include Recommender Systems and Techniques (15 papers), Advanced Bandit Algorithms Research (9 papers) and Consumer Market Behavior and Pricing (4 papers). Lukas Lerche is often cited by papers focused on Recommender Systems and Techniques (15 papers), Advanced Bandit Algorithms Research (9 papers) and Consumer Market Behavior and Pricing (4 papers). Lukas Lerche collaborates with scholars based in Germany. Lukas Lerche's co-authors include Dietmar Jannach, Michael Jugovac, Iman Kamehkhosh and Malte Ludewig and has published in prestigious journals such as Expert Systems with Applications, User Modeling and User-Adapted Interaction and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Lukas Lerche

15 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukas Lerche Germany	10	452	219	189	130	90	17	538
Malte Ludewig Germany	10	663 1.5×	440 2.0×	250 1.3×	158 1.2×	69 0.8×	13	746
Saúl Vargas Spain	10	717 1.6×	313 1.4×	290 1.5×	182 1.4×	121 1.3×	19	866
Seung-Taek Park United States	9	584 1.3×	298 1.4×	233 1.2×	157 1.2×	54 0.6×	10	707
Himan Abdollahpouri United States	11	528 1.2×	279 1.3×	295 1.6×	94 0.7×	97 1.1×	22	675
Jesús Bernal Spain	4	594 1.3×	215 1.0×	136 0.7×	224 1.7×	57 0.6×	6	675
Ewa Dominowska United Kingdom	2	396 0.9×	215 1.0×	132 0.7×	152 1.2×	179 2.0×	2	659
Benedikt Loepp Germany	8	332 0.7×	230 1.1×	83 0.4×	126 1.0×	32 0.4×	22	432
Il Young Choi South Korea	7	391 0.9×	182 0.8×	55 0.3×	135 1.0×	105 1.2×	27	602
Justin Basilico United States	9	279 0.6×	181 0.8×	94 0.5×	111 0.9×	33 0.4×	14	432

Countries citing papers authored by Lukas Lerche

Since Specialization

Citations

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

Fields of papers citing papers by Lukas Lerche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Lerche. 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 Lukas Lerche. The network helps show where Lukas Lerche may publish in the future.

Co-authorship network of co-authors of Lukas Lerche

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Lerche. A scholar is included among the top collaborators of Lukas Lerche 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 Lukas Lerche. Lukas Lerche 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

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

Jannach, Dietmar, Iman Kamehkhosh, & Lukas Lerche. (2017). Leveraging multi-dimensional user models for personalized next-track music recommendation. 1635–1642. 20 indexed citations

Jannach, Dietmar, Malte Ludewig, & Lukas Lerche. (2017). Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts. User Modeling and User-Adapted Interaction. 27(3-5). 351–392. 88 indexed citations

Jannach, Dietmar & Lukas Lerche. (2017). Offline performance vs. subjective quality experience. 1649–1654.

Lerche, Lukas. (2016). Using implicit feedback for recommender systems: characteristics, applications, and challenges. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 6 indexed citations

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

Lerche, Lukas, Dietmar Jannach, & Malte Ludewig. (2016). On the Value of Reminders within E-Commerce Recommendations. 27–35. 38 indexed citations

Kamehkhosh, Iman, Dietmar Jannach, & Lukas Lerche. (2016). Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals.. 5 indexed citations

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

10.

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

11.

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

12.

Jannach, Dietmar, Lukas Lerche, & Iman Kamehkhosh. (2015). Beyond "Hitting the Hits". 187–194. 34 indexed citations

13.

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

14.

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

15.

Lerche, Lukas & Dietmar Jannach. (2014). Using graded implicit feedback for bayesian personalized ranking. 353–356. 52 indexed citations

16.

Jannach, Dietmar, et al.. (2013). Re-Ranking Recommendations Based on Predicted Short-Term Interests - A Protocol and First Experiment. National Conference on Artificial Intelligence. 4 indexed citations

17.

Jannach, Dietmar & Lukas Lerche. (2013). Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen. HMD Praxis der Wirtschaftsinformatik. 50(5). 34–44.

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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