This map shows the geographic impact of Philipp Ebel'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 Philipp Ebel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Ebel more than expected).
This network shows the impact of papers produced by Philipp Ebel. 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 Philipp Ebel. The network helps show where Philipp Ebel may publish in the future.
Co-authorship network of co-authors of Philipp Ebel
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Ebel.
A scholar is included among the top collaborators of Philipp Ebel 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 Philipp Ebel. Philipp Ebel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ebel, Philipp, Matthias Söllner, Jan Marco Leimeister, Kevin Crowston, & Gert‐Jan de Vreede. (2021). Hybrid intelligence in business networks. Electronic Markets. 31(2). 313–318.8 indexed citations
6.
Ebel, Philipp, et al.. (2021). Moving Beyond Rule-Based Automation: A Method for Assessing Cognitive Automation Use Cases. Journal of the Association for Information Systems.1 indexed citations
7.
Ebel, Philipp, et al.. (2020). Let's Team Up: Designing Conversational Agents as Teammates. Journal of the Association for Information Systems.11 indexed citations
8.
Lipusch, Nikolaus, Dominik Dellermann, Ulrich Bretschneider, Philipp Ebel, & Jan Marco Leimeister. (2020). Designing for Crowdfunding Co-creation: How to Leverage the Potential of Backers for Product Development. Journal of the Association for Information Systems.4 indexed citations
9.
Ebel, Philipp, et al.. (2019). The Imprint of Design Science in Information Systems Research: An Empirical Analysis of the AIS Senior Scholars’ Basket. Journal of the Association for Information Systems.3 indexed citations
10.
Schüritz, Ronny, et al.. (2019). Understanding the Anatomy of Analytics-Based Services – A Taxonomy to Conceptualize the Use of Data and Analytics in Services. Journal of the Association for Information Systems. 25.11 indexed citations
11.
Ebel, Philipp, et al.. (2019). Data-Driven Service Innovation: A Systematic Literature Review and Development of a Research Agenda. Journal of the Association for Information Systems.14 indexed citations
Dellermann, Dominik, Philipp Ebel, Matthias Söllner, & Jan Marco Leimeister. (2019). Hybrid Intelligence. Business & Information Systems Engineering. 61(5). 637–643.260 indexed citations
14.
Dellermann, Dominik, Nikolaus Lipusch, & Philipp Ebel. (2018). Heading for new shores: Crowdsourcing for entrepreneurial opportunity creation. Journal of the Association for Information Systems. 154.1 indexed citations
15.
Ebel, Philipp, et al.. (2017). Systematic and Continuous Business Model Development: Design of a Repeatable Process Using the Collaboration Engineering Approach. Journal of the Association for Information Systems.1 indexed citations
Dellermann, Dominik, Nikolaus Lipusch, Philipp Ebel, & Jan Marco Leimeister. (2017). Building Your IoT Ecosystem: Proposing the Hybrid Intelligence Accelerator. Alexandria (UniSG) (University of St.Gallen).1 indexed citations
19.
Ebel, Philipp, Ulrich Bretschneider, & Jan Marco Leimeister. (2014). Pyramiding 2.0: Exaptation of the Pyramiding Approach to Recruit New Idea Contributors for a Virtual Ideas Competition. Journal of the Association for Information Systems.3 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.