Niklas Kühl

2.4k total citations · 1 hit paper
71 papers, 1.0k citations indexed

About

Niklas Kühl is a scholar working on Artificial Intelligence, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Niklas Kühl has authored 71 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 15 papers in Management Information Systems and 13 papers in Management Science and Operations Research. Recurrent topics in Niklas Kühl's work include Explainable Artificial Intelligence (XAI) (12 papers), Big Data and Business Intelligence (11 papers) and Ethics and Social Impacts of AI (10 papers). Niklas Kühl is often cited by papers focused on Explainable Artificial Intelligence (XAI) (12 papers), Big Data and Business Intelligence (11 papers) and Ethics and Social Impacts of AI (10 papers). Niklas Kühl collaborates with scholars based in Germany, United States and Switzerland. Niklas Kühl's co-authors include Gerhard Satzger, Marc Goutier, Michael Vössing, Max Schemmer, Maria De‐Arteaga, Axel Ensslen, Patrick Jochem, Johannes Jakubik, Michael Saidani and Björn Schmitz and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Journal of the Association for Information Systems.

In The Last Decade

Niklas Kühl

63 papers receiving 989 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

2023 261 citations Niklas Kühl et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niklas Kühl Germany	16	341	150	120	110	101	71	1.0k
Fernando Martínez‐Plumed Spain	13	331 1.0×	85 0.6×	104 0.9×	35 0.3×	89 0.9×	35	807
Nitin Rane India	20	183 0.5×	65 0.4×	125 1.0×	79 0.7×	30 0.3×	59	913
Julián Padget United Kingdom	19	521 1.5×	123 0.8×	244 2.0×	99 0.9×	46 0.5×	143	1.6k
Levent Yılmaz United States	18	197 0.6×	137 0.9×	114 0.9×	70 0.6×	26 0.3×	121	944
Vinay Singh India	11	337 1.0×	70 0.5×	133 1.1×	45 0.4×	17 0.2×	26	789
Varsha Arya Taiwan	18	321 0.9×	65 0.4×	200 1.7×	46 0.4×	15 0.1×	151	1.0k
Moamin A. Mahmoud Malaysia	20	260 0.8×	56 0.4×	155 1.3×	73 0.7×	12 0.1×	95	1.2k
Sebastian Stein United Kingdom	19	242 0.7×	146 1.0×	323 2.7×	45 0.4×	47 0.5×	108	1.4k
Martin Mullins Ireland	22	181 0.5×	32 0.2×	199 1.7×	23 0.2×	119 1.2×	72	1.5k
Jorge Marx Gómez Germany	15	225 0.7×	275 1.8×	266 2.2×	93 0.8×	9 0.1×	189	1.3k

Countries citing papers authored by Niklas Kühl

Since Specialization

Citations

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

Fields of papers citing papers by Niklas Kühl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niklas Kühl

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

Vössing, Michael, et al.. (2025). Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–28. 2 indexed citations

Müller, Leopold, et al.. (2025). Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements. IEEE Access. 13. 135301–135315.

Holstein, Kenneth, et al.. (2025). Don’t Be Fooled: The Misinformation Effect of Explanations in Human–AI Collaboration. International Journal of Human-Computer Interaction. 1–29.

Schemmer, Max, et al.. (2025). Complementarity in human-AI collaboration: concept, sources, and evidence. European Journal of Information Systems. 34(6). 979–1002. 6 indexed citations

De‐Arteaga, Maria, et al.. (2024). Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–18. 20 indexed citations

De‐Arteaga, Maria, et al.. (2024). A Critical Survey on Fairness Benefits of Explainable AI. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1579–1595. 9 indexed citations

Goutier, Marc, et al.. (2024). (X)AI as a Teacher: Learning with Explainable Artificial Intelligence. 571–576. 1 indexed citations

Kühl, Niklas, et al.. (2024). Looking Through the Deep Glasses: How Large Language Models Enhance Explainability of Deep Learning Models. 566–570.

Kühl, Niklas, et al.. (2024). Toward Avoiding the Data Mess: Industry Insights From Data Mesh Implementations. IEEE Access. 12. 95402–95416. 4 indexed citations

10.

Kühl, Niklas, et al.. (2024). Designing a computer-vision-based artifact for automated quality control: a case study in the food industry. Flexible Services and Manufacturing Journal. 36(4). 1422–1449. 5 indexed citations

11.

Mukkavilli, S. Karthik, et al.. (2024). AB2CD: AI for Building Climate Damage Classification and Detection. Proceedings of the AAAI Symposium Series. 2(1). 115–123.

12.

Kühl, Niklas, et al.. (2023). ML-Based Teaching Systems: A Conceptual Framework. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–25. 2 indexed citations

13.

Hemmer, Patrick, et al.. (2023). Learning to Defer with Limited Expert Predictions. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6002–6011. 2 indexed citations

14.

Kühl, Niklas, et al.. (2023). Enabling inter-organizational analytics in business networks through meta machine learning. Information Technology and Management. 26(1). 57–81. 3 indexed citations

15.

Vössing, Michael, et al.. (2021). Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. Journal of the Association for Information Systems. 78. 25 indexed citations

16.

Kühl, Niklas, et al.. (2020). Utilizing Adaptive AI-based Information Systems to Analyze the Effectiveness of Policy Measures in the Fight of COVID-19. Journal of the Association for Information Systems. 1 indexed citations

17.

Vössing, Michael, et al.. (2019). DESIGNING USEFUL TRANSPARENCY TO IMPROVE PROCESS PERFORMANCE—EVIDENCE FROM AN AUTOMATED PRODUCTION LINE. Journal of the Association for Information Systems. 5 indexed citations

18.

Kühl, Niklas, et al.. (2018). Cognition in the Era of Smart Service Systems: Inter-organizational Analytics through Meta and Transfer Learning. Journal of the Association for Information Systems. 5 indexed citations

19.

Kühl, Niklas, et al.. (2018). Towards Service-oriented Cognitive Analytics for Smart Service Systems. Hawaii International Conference on System Sciences. 1 indexed citations

20.

Kühl, Niklas, et al.. (2018). SYSTEM-ORIENTED SERVICE DELIVERY: THE APPLICATION OF SERVICE SYSTEM ENGINEERING TO SERVICE DELIVERY. Journal of the Association for Information Systems. 143975.

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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