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Markus Β. Siewert

ResearcherPublications, citations & collaboration network

Markus Β. Siewert is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 85 works, 893 citations, an h-index of 15 and an i10-index of 21.

85
Works
893
Citations
15
h-index
21
i10-index

How has Markus Β. Siewert's publication output changed over time?

ScholarIQpublication output · 2015–2024

Output declined50% over the shown period — from 2 works in 2015 to 1 in 2024.

2
1
2
3
1
1
201520192020202220232024

What are the most-cited papers on Markus Β. Siewert?

ScholarIQmost cited works
QCA and business research: Work in progress or a consolidated agenda?
Claudius Wagemann, Jonas Buche, Markus Β. Siewert
S93284759. 2015210 Citations
Role of the state and responsibility in governing artificial intelligence: a comparative analysis of AI strategies
Christian Djeffal, Markus Β. Siewert, Stefan Wurster
S22371039. 202292 CitationsOPEN ACCESS
Conceptualizing and Measuring Citizens’ Preferences for Democracy: Taking Stock of Three Decades of Research in a Fragmented Field
Pascal D. König, Markus Β. Siewert, Kathrin Ackermann
S105556297. 202289 CitationsOPEN ACCESS
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis
Pascal D. König, Stefan Wurster, Markus Β. Siewert
S2736409588. 202255 CitationsOPEN ACCESS
Observing Germany’s nationwide public transport fare policy experiment “9-Euro-Ticket” – Empirical findings from a panel study
Allister Loder, Fabienne Cantner, Lennart Adenaw, Nico Nachtigall, David Ziegler, Felix Gotzler, Markus Β. Siewert, Stefan Wurster, Sebastian J. Goerg, Markus Lienkamp, Klaus Bogenberger
Case Studies on Transport Policy. 202438 CitationsOPEN ACCESS

Related on ScholarIQ

QCA and business research: Work in progress or a consolidated agenda?
Paper
Role of the state and responsibility in governing artificial intelligence: a comparative analysis of AI strategies
Paper
Conceptualizing and Measuring Citizens’ Preferences for Democracy: Taking Stock of Three Decades of Research in a Fragmented Field
Paper
Consumers are willing to pay a price for explainable, but not for green AI. Evidence from a choice-based conjoint analysis
Paper
Observing Germany’s nationwide public transport fare policy experiment “9-Euro-Ticket” – Empirical findings from a panel study
Paper
Sustainability challenges of artificial intelligence and Citizens' regulatory preferences
Paper
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