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.
This map shows the geographic impact of Daniel Veit'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 Daniel Veit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Veit more than expected).
This network shows the impact of papers produced by Daniel Veit. 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 Daniel Veit. The network helps show where Daniel Veit may publish in the future.
Co-authorship network of co-authors of Daniel Veit
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Veit.
A scholar is included among the top collaborators of Daniel Veit 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 Daniel Veit. Daniel Veit is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Veit, Daniel, et al.. (2021). Digitization or digitalization? - Toward an understanding of definitions, use and application in IS research.. Journal of the Association for Information Systems.14 indexed citations
5.
Veit, Daniel, et al.. (2020). Understanding Individuals’ Perceptions Regarding Cognitive Computing Systems. Journal of the Association for Information Systems.1 indexed citations
6.
Veit, Daniel, et al.. (2020). Initial Coin Offerings, How Do Investors Decide? – A Systematic Literature Review. Journal of the Association for Information Systems.1 indexed citations
7.
Veit, Daniel, et al.. (2020). Trust Building and Risk Mitigation via Smart Contracts on Amazon Mechanical Turk. Journal of the Association for Information Systems.1 indexed citations
8.
Trenz, Manuel, Daniel Veit, & Chee‐Wee Tan. (2019). Disentangling the Impact of Omnichannel Integration Services on Consumer Behavior in Integrated Sales Channels. SSRN Electronic Journal.1 indexed citations
Trenz, Manuel, Alexander Frey, & Daniel Veit. (2018). Disentangling the facets of sharing. Internet Research. 28(4). 888–925.62 indexed citations
11.
Steininger, Dennis M., et al.. (2018). Comparing traditional and electronic business models of the music industry: a content analytical approach. OPUS (Augsburg University).2 indexed citations
12.
Trenz, Manuel, et al.. (2018). IT-Consumerization: Domain Control, (Reversed) Presenteeism, and Stress.. International Conference on Information Systems.1 indexed citations
13.
Frey, Alexander, Manuel Trenz, & Daniel Veit. (2017). THE ROLE OF TECHNOLOGY FOR SERVICE INNOVATION IN SHARING ECONOMY ORGANIZATIONS – A SERVICE-DOMINANT LOGIC PERSPECTIVE. Journal of the Association for Information Systems. 1885.3 indexed citations
14.
Arntz, Melanie, Terry Gregory, Ulrich Zierahn, et al.. (2017). Arbeitswelt 4.0: Wohlstandszuwachs oder Ungleichheit und Arbeitsplatzverlust – was bringt die Digitalisierung?. Econstor (Econstor). 70(7). 3–18.3 indexed citations
15.
Trenz, Manuel & Daniel Veit. (2015). Multichannel integration services : consumer decision making in integrated sales channels. MADOC (University of Mannheim).1 indexed citations
Veit, Daniel, et al.. (2010). Common Data Exchange Standards: Determinants for Adoption at the Municipal Level. Journal of the Association for Information Systems. 75.4 indexed citations
20.
Weidlich, Anke & Daniel Veit. (2008). PowerACE: Ein agentenbasiertes Tool zur Simulation von Strom- und Emissionsmärkten. OPUS (Augsburg University).2 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.