Lukas-Valentin Herm

568 total citations
12 papers, 238 citations indexed

About

Lukas-Valentin Herm is a scholar working on Management Information Systems, Artificial Intelligence and Safety Research. According to data from OpenAlex, Lukas-Valentin Herm has authored 12 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Information Systems, 4 papers in Artificial Intelligence and 4 papers in Safety Research. Recurrent topics in Lukas-Valentin Herm's work include Big Data and Business Intelligence (4 papers), Ethics and Social Impacts of AI (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Lukas-Valentin Herm is often cited by papers focused on Big Data and Business Intelligence (4 papers), Ethics and Social Impacts of AI (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Lukas-Valentin Herm collaborates with scholars based in Germany. Lukas-Valentin Herm's co-authors include Christian Janiesch, Jonas Wanner, Kai Heinrich, Florian Imgrund, Axel Winkelmann, Patrick Zschech and Kevin Fuchs and has published in prestigious journals such as International Journal of Information Management, Journal of the Association for Information Systems and Electronic Markets.

In The Last Decade

Lukas-Valentin Herm

12 papers receiving 226 citations

Peers

Lukas-Valentin Herm
Comparison fields: 5 of 74
  • Artificial Intelligence 95
  • Information Systems 51
  • Management Information Systems 44
  • Safety Research 43
  • Industrial and Manufacturing Engineering 42
Jonas Wanner Germany
Michael Vössing Germany
Nikolaus Lipusch Germany
Mike Horia Teodorescu United States
Boris Düdder Denmark
Peyman Najafirad United States
Visara Urovi Netherlands
Dinesh Kalla United States
Andreas Sesing-Wagenpfeil Germany
Brendan Tierney Ireland
Jonas Wanner Germany View profile →
Citations per field, relative to Lukas-Valentin Herm
Lukas-Valentin Herm · 1×
Citations per year, relative to Lukas-Valentin Herm
Lukas-Valentin Herm · 1×

Countries citing papers authored by Lukas-Valentin Herm

Since Specialization
Citations

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

Fields of papers citing papers by Lukas-Valentin Herm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas-Valentin Herm

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

All Works

12 of 12 papers shown
# Title Journal Authors Indexed citations
1 A nascent design theory for explainable intelligent systems Electronic Markets Lukas-Valentin Herm, Jonas Wanner et al. 15
2 The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study Electronic Markets Jonas Wanner, Lukas-Valentin Herm et al. 70
3 Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability International Journal of Information Management Lukas-Valentin Herm, Kai Heinrich et al. 72
4 A framework for implementing robotic process automation projects Information Systems and e-Business Management Lukas-Valentin Herm, Christian Janiesch et al. 31
5 Industry 4.0 Maintenance: An Examination of the Readiness of Germany's Industrial Sector Jonas Wanner, Lukas-Valentin Herm et al. 1
6 ADOPTION BARRIERS OF AI: A CONTEXT-SPECIFIC ACCEPTANCE MODEL FOR INDUSTRIAL MAINTENANCE Journal of the Association for Information Systems Jonas Wanner, Kai Heinrich et al. 5
7 I DON’T GET IT, BUT IT SEEMS VALID! THE CONNECTION BETWEEN EXPLAINABILITY AND COMPREHENSIBILITY IN (X)AI RESEARCH Journal of the Association for Information Systems Lukas-Valentin Herm, Jonas Wanner et al. 5
8 A social evaluation of the perceived goodness of explainability in machine learning RePEc: Research Papers in Economics Jonas Wanner, Lukas-Valentin Herm et al. 12
9 Towards an Implementation of Blockchain-based Collaboration Platforms in Supply Chain Networks: A Requirements Analysis Proceedings of the ... Annual Hawaii International Conference on System Sciences Lukas-Valentin Herm, Christian Janiesch 6
10 White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems Journal of the Association for Information Systems Jonas Wanner, Lukas-Valentin Herm et al. 10
11 HOW MUCH IS THE BLACK BOX? THE VALUE OF EXPLAINABILITY IN MACHINE LEARNING MODELS Journal of the Association for Information Systems Jonas Wanner, Lukas-Valentin Herm et al. 9
12 Verwendung binärer Datenwerte für eine KI-gestützte Instandhaltung 4.0 HMD Praxis der Wirtschaftsinformatik Jonas Wanner, Lukas-Valentin Herm et al. 2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026