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.
Conducting systematic literature reviews and bibliometric analyses
2019986 citationsMartina K. Linnenluecke, Mauricio Marrone et al.profile →
A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice
Countries citing papers authored by Mauricio Marrone
Since
Specialization
Citations
This map shows the geographic impact of Mauricio Marrone'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 Mauricio Marrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauricio Marrone more than expected).
Fields of papers citing papers by Mauricio Marrone
This network shows the impact of papers produced by Mauricio Marrone. 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 Mauricio Marrone. The network helps show where Mauricio Marrone may publish in the future.
Co-authorship network of co-authors of Mauricio Marrone
This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Marrone.
A scholar is included among the top collaborators of Mauricio Marrone 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 Mauricio Marrone. Mauricio Marrone is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Brendel, Alfred, et al.. (2020). What to do for a Literature Review? - A Synthesis of Literature Review Practices.. Journal of the Association for Information Systems. 1–10.7 indexed citations
Nastjuk, Ilja, Mauricio Marrone, & Lutz M. Kolbe. (2016). Less is sometimes more - the impact of in-vehicle information systems on perceived range stress. International Conference on Information Systems. 1–22.3 indexed citations
12.
Marrone, Mauricio, et al.. (2016). An integrated literature review: establishing relevance for practitioners. International Conference on Information Systems. 1–21.8 indexed citations
13.
Zander, Sebastian, et al.. (2016). Value Co-Creation in Supply Chains through IT Integration: The Role of Collaborative Network Structure. Americas Conference on Information Systems. 1–10.2 indexed citations
14.
Zander, Sebastian, et al.. (2015). Integrating Industry Characteristics in Inter-Organizational IS Adoption Models: A Mixed Method Approach. Journal of the Association for Information Systems. 206.3 indexed citations
Marrone, Mauricio & Lutz M. Kolbe. (2010). ITIL and the creation of benefits: An empirical study on benefits, challenges and processes. Journal of the Association for Information Systems. 66.10 indexed citations
19.
Marrone, Mauricio, Lukas Hoffmann, & Lutz M. Kolbe. (2010). IT Executives’ Perception of CobiT: Satisfaction, Business-IT Alignment and Benefits. Americas Conference on Information Systems. 216.9 indexed citations
20.
Marrone, Mauricio & Lutz M. Kolbe. (2010). Mapping Improvements Achievable through the Adoption of IT Governance. Journal of the Association for Information Systems. 73.1 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.