Tim Donkers

747 total citations
19 papers, 469 citations indexed

About

Tim Donkers is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Tim Donkers has authored 19 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 13 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Tim Donkers's work include Recommender Systems and Techniques (13 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). Tim Donkers is often cited by papers focused on Recommender Systems and Techniques (13 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). Tim Donkers collaborates with scholars based in Germany. Tim Donkers's co-authors include Jürgen Ziegler, Benedikt Loepp and Johannes Kunkel and has published in prestigious journals such as International Journal of Human-Computer Studies, i-com and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Tim Donkers

17 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Donkers Germany	8	301	292	93	70	48	19	469
Fatih Gedikli Germany	7	285 0.9×	214 0.7×	99 1.1×	56 0.8×	71 1.5×	13	405
Mirko Marras Italy	12	243 0.8×	259 0.9×	93 1.0×	59 0.8×	37 0.8×	54	509
Dominik Kowald Austria	13	214 0.7×	189 0.6×	72 0.8×	44 0.6×	54 1.1×	49	386
Hande Dong China	3	271 0.9×	251 0.9×	74 0.8×	102 1.5×	22 0.5×	4	404
Benedikt Loepp Germany	8	332 1.1×	230 0.8×	126 1.4×	83 1.2×	39 0.8×	22	432
Luiz Pizzato Australia	11	302 1.0×	210 0.7×	62 0.7×	121 1.7×	76 1.6×	23	498
Jinghua Piao China	9	217 0.7×	277 0.9×	75 0.8×	30 0.4×	55 1.1×	13	470
Denis Kotkov Finland	10	330 1.1×	168 0.6×	100 1.1×	100 1.4×	79 1.6×	20	455
Praveen Chandar United States	10	257 0.9×	239 0.8×	54 0.6×	79 1.1×	37 0.8×	33	435

Countries citing papers authored by Tim Donkers

Since Specialization

Citations

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

Fields of papers citing papers by Tim Donkers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Donkers

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

All Works

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19 of 19 papers shown

Donkers, Tim & Jürgen Ziegler. (2025). Understanding Online Polarization Through Human-Agent Interaction in a Synthetic LLM-Based Social Network. Proceedings of the International AAAI Conference on Web and Social Media. 19. 457–478.

Ziegler, Jürgen & Tim Donkers. (2024). From explanations to human-AI co-evolution: charting trajectories towards future user-centric AI. i-com. 23(2). 263–272. 4 indexed citations

Donkers, Tim & Jürgen Ziegler. (2023). De-sounding echo chambers: Simulation-based analysis of polarization dynamics in social networks. 37-38. 100275–100275.

Donkers, Tim, et al.. (2023). An Instrument for measuring users’ meta-intents. 290–302. 4 indexed citations

Donkers, Tim & Jürgen Ziegler. (2021). The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending. 12–22. 29 indexed citations

Donkers, Tim & Jürgen Ziegler. (2020). Leveraging Arguments in User Reviews for Generating and Explaining Recommendations. Datenbank-Spektrum. 20(2). 181–187. 2 indexed citations

Donkers, Tim, et al.. (2020). Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations. 219–225. 11 indexed citations

Donkers, Tim, et al.. (2020). Explaining recommendations by means of aspect-based transparent memories. 166–176. 17 indexed citations

Kunkel, Johannes, et al.. (2019). Let Me Explain. 1–12. 89 indexed citations

10.

Loepp, Benedikt, et al.. (2019). Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. 6201–6205. 2 indexed citations

11.

Donkers, Tim, Benedikt Loepp, & Jürgen Ziegler. (2018). Explaining Recommendations by Means of User Reviews.. 7 indexed citations

12.

Kunkel, Johannes, et al.. (2018). Trust-related Effects of Expertise and Similarity Cues in Human-Generated Recommendations.. 5 indexed citations

13.

Loepp, Benedikt, et al.. (2018). Impact of item consumption on assessment of recommendations in user studies. 49–53. 16 indexed citations

14.

Donkers, Tim, et al.. (2018). Argumentation-Based Explanations in Recommender Systems. 293–298. 18 indexed citations

15.

Loepp, Benedikt, et al.. (2018). Interactive recommending with Tag-Enhanced Matrix Factorization (TagMF). International Journal of Human-Computer Studies. 121. 21–41. 28 indexed citations

16.

Donkers, Tim, Benedikt Loepp, & Jürgen Ziegler. (2017). Sequential User-based Recurrent Neural Network Recommendations. 152–160. 223 indexed citations

17.

Donkers, Tim, Benedikt Loepp, & Jürgen Ziegler. (2016). Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags.. Conference on Recommender Systems. 3 indexed citations

18.

Donkers, Tim, Benedikt Loepp, & Jürgen Ziegler. (2016). Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control. 169–173. 7 indexed citations

19.

Donkers, Tim, Benedikt Loepp, & Jürgen Ziegler. (2015). Merging Latent Factors and Tags to Increase Interactive Control of Recommendations. Conference on Recommender Systems. 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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