This map shows the geographic impact of Erik Perjons'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 Erik Perjons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Perjons more than expected).
This network shows the impact of papers produced by Erik Perjons. 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 Erik Perjons. The network helps show where Erik Perjons may publish in the future.
Co-authorship network of co-authors of Erik Perjons
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Perjons.
A scholar is included among the top collaborators of Erik Perjons 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 Erik Perjons. Erik Perjons is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rusu, Lazar, et al.. (2021). IT Governance Mechanisms Influence on Digital Transformation: A Systematic Literature Review. Journal of the Association for Information Systems.14 indexed citations
4.
Bider, Ilia, Erik Perjons, & Dominik Bork. (2021). Towards On-The-Fly Creation of Modeling Language Jargons.. ICTERI. 142–157.
5.
Bider, Ilia, Gil Regev, & Erik Perjons. (2019). Linking Autopoiesis to Homeostasis in Socio-Technical Systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 160–170.1 indexed citations
Henkel, Martin, et al.. (2017). Reusing Cases for Teaching Enterprise Modelling – Feasibility Study and Reality Check. 4–14.1 indexed citations
10.
Bider, Ilia & Erik Perjons. (2017). Challenges in Assessing Parameters of a Socio-Technical System. KTH Publication Database DiVA (KTH Royal Institute of Technology). 98–105.1 indexed citations
11.
Bider, Ilia, Martin Henkel, Stewart Kowalski, & Erik Perjons. (2015). Technology Enhanced Learning of Modeling Skills in the Field of Information Systems. International Conference on Information Systems. 121–128.1 indexed citations
Rusu, Lazar, et al.. (2014). THE IMPACT OF BUSINESS-IT ALIGNMENT ON ORGANIZATIONAL CULTURE. Pacific Asia Conference on Information Systems. 310.3 indexed citations
14.
El-Mekawy, Mohamed, Erik Perjons, & Lazar Rusu. (2013). A Framework to Support Practitioners in Evaluating Business-IT Alignment Models.. Journal of the Association for Information Systems. 1–12.1 indexed citations
15.
Bider, Ilia & Erik Perjons. (2012). Reviving Language/Action Perspective in the Era of Social Software : Research in Progress. KTH Publication Database DiVA (KTH Royal Institute of Technology).1 indexed citations
16.
Bider, Ilia, Paul Johannesson, Erik Perjons, & Lena Johansson Westholm. (2012). Design Science in Action: Developing a Framework for Introducing IT Systems into Operational Practice. International Conference on Information Systems.8 indexed citations
17.
Söderström, Eva, Martin Henkel, & Erik Perjons. (2011). Reference models for service oriented architectures. International Conference on Information Systems.1 indexed citations
18.
Henkel, Martin, Erik Perjons, & Jelena Zdravković. (2007). Towards Guidelines for the Evolution of E-Service Environments. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3(3). 183–200.2 indexed citations
Wohed, Petia, Erik Perjons, Marlon Dumas, & Arthur H. M. ter Hofstede. (2003). Pattern-based analysis of EAI languages : the case of the business modelling language. QUT ePrints (Queensland University of Technology). 174–184.9 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.