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.
A Blockchain Research Framework
2017534 citationsKai Spohrer et al.Business & Information Systems Engineeringprofile →
Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence
2021209 citationsEkaterina Jussupow, Kai Spohrer et al.Information Systems Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Kai Spohrer'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 Kai Spohrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Spohrer more than expected).
This network shows the impact of papers produced by Kai Spohrer. 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 Kai Spohrer. The network helps show where Kai Spohrer may publish in the future.
Co-authorship network of co-authors of Kai Spohrer
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Spohrer.
A scholar is included among the top collaborators of Kai Spohrer 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 Kai Spohrer. Kai Spohrer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jussupow, Ekaterina, Kai Spohrer, & Armin Heinzl. (2022). Radiologists’ Usage of Diagnostic AI Systems. Business & Information Systems Engineering. 64(3). 293–309.19 indexed citations
5.
Jussupow, Ekaterina, Kai Spohrer, Armin Heinzl, & Joshua Gawlitza. (2021). Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence. Information Systems Research. 32(3). 713–735.209 indexed citations breakdown →
Spohrer, Kai, et al.. (2020). Socio-behavioral elements in data-driven requirements engineering: The case of enterprise cloud software. Journal of the Association for Information Systems.1 indexed citations
8.
Spohrer, Kai, et al.. (2019). Bridging the Vendor-User Gap in Enterprise Cloud Software Development through Data-Driven Requirements Engineering. Journal of the Association for Information Systems.1 indexed citations
Spohrer, Kai, et al.. (2019). Deep structure use of mHealth: A social cognitive theory perspective. Journal of the Association for Information Systems.1 indexed citations
11.
Jussupow, Ekaterina, et al.. (2018). Designing a mobile application for ad-hoc tumor board scheduling. MADOC (University of Mannheim). 70.1 indexed citations
12.
Jussupow, Ekaterina, et al.. (2018). I am; We are - Conceptualizing Professional Identity Threats from Information Technology. Journal of the Association for Information Systems.5 indexed citations
Spohrer, Kai, et al.. (2016). Electronic Patient Briefing and Informed Consent: Creating Patient Trust and Information Satisfaction through Social Presence and Personalization. MADOC (University of Mannheim).1 indexed citations
15.
Spohrer, Kai, Thomas Kude, Christoph Schmidt, & Armin Heinzl. (2016). The Transactive Processes of Social Coding: How Code Review Substitutes for Transactive Memory in Software Development Teams. MADOC (University of Mannheim).1 indexed citations
Schmidt, Christoph, Kai Spohrer, Thomas Kude, & Armin Heinzl. (2012). The Impact of Peer-Based Software Reviews on Team Performance: The Role of Feedback and Transactive Memory Systems. MADOC (University of Mannheim).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.