Dominik Kowald

1.1k total citations
49 papers, 386 citations indexed

About

Dominik Kowald is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Dominik Kowald has authored 49 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 25 papers in Artificial Intelligence and 7 papers in Computer Science Applications. Recurrent topics in Dominik Kowald's work include Recommender Systems and Techniques (25 papers), Topic Modeling (12 papers) and Advanced Graph Neural Networks (8 papers). Dominik Kowald is often cited by papers focused on Recommender Systems and Techniques (25 papers), Topic Modeling (12 papers) and Advanced Graph Neural Networks (8 papers). Dominik Kowald collaborates with scholars based in Austria, Estonia and Germany. Dominik Kowald's co-authors include Elisabeth Lex, Christoph Trattner, Paul Seitlinger, Markus Schedl, Tobias Ley, Alexander Felfernig, Thi Ngoc Trang Tran, Denis Parra, Junghoo Cho and Stefan Thalmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Human-Computer Studies.

In The Last Decade

Dominik Kowald

45 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dominik Kowald Austria	13	214	189	72	54	46	49	386
Tim Donkers Germany	8	301 1.4×	292 1.5×	93 1.3×	48 0.9×	31 0.7×	19	469
Luiz Pizzato Australia	11	302 1.4×	210 1.1×	62 0.9×	76 1.4×	29 0.6×	23	498
Mirko Marras Italy	12	243 1.1×	259 1.4×	93 1.3×	37 0.7×	31 0.7×	54	509
Yunqi Li United States	9	313 1.5×	230 1.2×	39 0.5×	39 0.7×	60 1.3×	18	474
James Schaffer United States	10	136 0.6×	231 1.2×	62 0.9×	33 0.6×	15 0.3×	16	406
Yiu‐Kai Ng United States	15	460 2.1×	400 2.1×	101 1.4×	38 0.7×	141 3.1×	86	713
Sergej Zerr Germany	10	130 0.6×	240 1.3×	98 1.4×	60 1.1×	15 0.3×	27	396
Denis Kotkov Finland	10	330 1.5×	168 0.9×	100 1.4×	79 1.5×	31 0.7×	20	455
Eva Zangerle Austria	13	340 1.6×	272 1.4×	166 2.3×	61 1.1×	104 2.3×	65	639
Frederico Araújo Dur�ão Brazil	10	255 1.2×	120 0.6×	46 0.6×	31 0.6×	112 2.4×	53	365

Countries citing papers authored by Dominik Kowald

Since Specialization

Citations

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

Fields of papers citing papers by Dominik Kowald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Kowald

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

All Works

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20 of 20 papers shown

Ross‐Hellauer, Tony, et al.. (2025). Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers. AI Magazine. 46(2). 9 indexed citations

Burke, Robin, Gediminas Adomavičius, Toine Bogers, et al.. (2025). De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems. International Journal of Human-Computer Studies. 203. 103560–103560. 1 indexed citations

Müllner, Peter, et al.. (2025). Multistakeholder fairness in tourism: what can algorithms learn from tourism management?. Frontiers in Big Data. 8. 1632766–1632766.

Kowald, Dominik, Sebastian Scher, Viktoria Pammer‐Schindler, et al.. (2024). Establishing and evaluating trustworthy AI: overview and research challenges. Frontiers in Big Data. 7. 1467222–1467222. 11 indexed citations

Kowald, Dominik, et al.. (2024). Take the aTrain. Introducing an interface for the Accessible Transcription of Interviews. Journal of Behavioral and Experimental Finance. 41. 100891–100891. 7 indexed citations

Kowald, Dominik, et al.. (2024). Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

Kowald, Dominik, et al.. (2023). Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks. Frontiers in Big Data. 6. 1251072–1251072. 6 indexed citations

Kowald, Dominik, et al.. (2023). Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews.. SSRN Electronic Journal.

Lex, Elisabeth, et al.. (2023). Differential privacy in collaborative filtering recommender systems: a review. Frontiers in Big Data. 6. 1249997–1249997. 7 indexed citations

10.

Holley, Debbie, Dominik Kowald, Elisabeth Lex, et al.. (2020). Going beyond your Personal Learning Network, Using Recommendations and Trust through a Multimedia Question-Answering Service for Decision-support: a Case Study in the Healthcare. JUCS - Journal of Universal Computer Science. 22(3). 340–359. 3 indexed citations

11.

Kowald, Dominik, et al.. (2018). Simulation-based co-creation of algorithms. 2190. 1 indexed citations

12.

Kowald, Dominik, et al.. (2018). Consensus dynamics in online collaboration systems. SHILAP Revista de lepidopterología. 5(1). 2–2. 6 indexed citations

13.

Seitlinger, Paul, et al.. (2017). Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach. International Journal of Human-Computer Interaction. 34(6). 557–575. 3 indexed citations

14.

Kowald, Dominik, et al.. (2017). The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. 23–28. 8 indexed citations

15.

Kowald, Dominik, et al.. (2015). ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture. Conference on Recommender Systems. 5 indexed citations

16.

Kowald, Dominik, et al.. (2015). Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. Conference on Recommender Systems. 12 indexed citations

17.

Trattner, Christoph, et al.. (2015). TagRec. ACM SIGWEB Newsletter. 2015(Winter). 1–10. 10 indexed citations

18.

Kowald, Dominik. (2015). Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations. 505–509. 2 indexed citations

19.

Kowald, Dominik, Paul Seitlinger, Christoph Trattner, & Tobias Ley. (2014). Long time no see. 463–468. 13 indexed citations

20.

Kowald, Dominik, et al.. (2013). The Social Semantic Server A Framework to Provide Services on Social Semantic Network Data. 50–54. 6 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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