Malte Ludewig

1.4k total citations · 1 hit paper
13 papers, 746 citations indexed

About

Malte Ludewig is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Malte Ludewig has authored 13 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Malte Ludewig's work include Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (6 papers) and Topic Modeling (5 papers). Malte Ludewig is often cited by papers focused on Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (6 papers) and Topic Modeling (5 papers). Malte Ludewig collaborates with scholars based in Germany, Austria and Italy. Malte Ludewig's co-authors include Dietmar Jannach, Lukas Lerche, Noemi Mauro, Iman Kamehkhosh and Michael Jugovac and has published in prestigious journals such as User Modeling and User-Adapted Interaction, Institutional Research Information System University of Turin (University of Turin) and The Florida AI Research Society.

In The Last Decade

Malte Ludewig

13 papers receiving 710 citations

Hit Papers

When Recurrent Neural Networks meet the Neighborhood for ... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malte Ludewig Germany 10 663 440 250 158 69 13 746
Lukas Lerche Germany 10 452 0.7× 219 0.5× 189 0.8× 130 0.8× 90 1.3× 17 538
Seung-Taek Park United States 9 584 0.9× 298 0.7× 233 0.9× 157 1.0× 54 0.8× 10 707
How Jing United States 6 470 0.7× 378 0.9× 124 0.5× 140 0.9× 19 0.3× 11 606
Na Mou China 3 528 0.8× 325 0.7× 106 0.4× 229 1.4× 45 0.7× 7 628
Jianxun Lian China 16 897 1.4× 814 1.9× 161 0.6× 247 1.6× 32 0.5× 42 1.2k
Balázs Hidasi Hungary 7 419 0.6× 288 0.7× 113 0.5× 148 0.9× 21 0.3× 14 488
Jesús Bernal Spain 4 594 0.9× 215 0.5× 136 0.5× 224 1.4× 57 0.8× 6 675
Negar Hariri United States 12 550 0.8× 281 0.6× 86 0.3× 120 0.8× 25 0.4× 15 643
Zhuoye Ding China 13 429 0.6× 434 1.0× 136 0.5× 132 0.8× 32 0.5× 35 670

Countries citing papers authored by Malte Ludewig

Since Specialization
Citations

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

Fields of papers citing papers by Malte Ludewig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malte Ludewig

This figure shows the co-authorship network connecting the top 25 collaborators of Malte Ludewig. A scholar is included among the top collaborators of Malte Ludewig 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 Malte Ludewig. Malte Ludewig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Ludewig, Malte, et al.. (2020). Empirical analysis of session-based recommendation algorithms. User Modeling and User-Adapted Interaction. 31(1). 149–181. 70 indexed citations
2.
Ludewig, Malte & Dietmar Jannach. (2019). User-centric evaluation of session-based recommendations for an automated radio station. 516–520. 5 indexed citations
3.
Ludewig, Malte, et al.. (2019). Performance comparison of neural and non-neural approaches to session-based recommendation. Institutional Research Information System University of Turin (University of Turin). 462–466. 52 indexed citations
4.
Ludewig, Malte & Dietmar Jannach. (2019). Learning to rank hotels for search and recommendation from session-based interaction logs and meta data. 1–5. 7 indexed citations
5.
Ludewig, Malte, et al.. (2018). Effective Nearest-Neighbor Music Recommendations. 1–6. 18 indexed citations
6.
Ludewig, Malte & Dietmar Jannach. (2018). Evaluation of session-based recommendation algorithms. User Modeling and User-Adapted Interaction. 28(4-5). 331–390. 185 indexed citations
7.
Kamehkhosh, Iman, Dietmar Jannach, & Malte Ludewig. (2017). A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation.. Conference on Recommender Systems. 50–56. 13 indexed citations
8.
Jannach, Dietmar & Malte Ludewig. (2017). Investigating Personalized Search in E-Commerce.. The Florida AI Research Society. 645–650. 11 indexed citations
9.
Jannach, Dietmar & Malte Ludewig. (2017). When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation. 306–310. 247 indexed citations breakdown →
10.
Jannach, Dietmar & Malte Ludewig. (2017). Determining characteristics of successful recommendations from log data. 1643–1648. 10 indexed citations
11.
Ludewig, Malte, Michael Jugovac, & Dietmar Jannach. (2017). A Light-Weight Approach to Recipient Determination When Recommending New Items. 1–6. 2 indexed citations
12.
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
13.
Lerche, Lukas, Dietmar Jannach, & Malte Ludewig. (2016). On the Value of Reminders within E-Commerce Recommendations. 27–35. 38 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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