Iris Junglas

74 papers receiving 3.1k citations

Peers

Iris Junglas
Comparison fields: 5 of 126
  • Information Systems and Management 1.2k
  • Communication 370
  • Management Information Systems 477
  • Marketing 425
  • Human-Computer Interaction 255
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Kai R. Larsen United States
Felix B. Tan New Zealand
Ohbyung Kwon South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Iris Junglas

Since Specialization
Citations

This map shows the geographic impact of Iris Junglas'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 Iris Junglas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Junglas more than expected).

Fields of papers citing papers by Iris Junglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris Junglas. 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 Iris Junglas. The network helps show where Iris Junglas may publish in the future.

Co-authors

The 25 scholars most cited alongside Iris Junglas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iris Junglas Line = papers co-authored together Iris Junglas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008295
2 2008225
3 2016223
4 2008198
5 2011148
6 2016147
7 2009146
8
IT Consumerization: When Gadgets Turn Into Enterprise IT Tools
2012133
9 2006119
10 2020116
11 2010113
12 200898
13 201387
14 201263
15 201158
16 200557
17
APC Forum: Business Implications of Virtual Worlds and Serious Gaming
200851
18 202250
19
U-commerce : an experimental investigation of ubiquity and uniqueness
200349
20 201048

About Iris Junglas

Iris Junglas is a scholar working on Sociology and Political Science, Information Systems and Management, Management Information Systems, Human-Computer Interaction and Communication, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (25 papers), Digital Marketing and Social Media (13 papers), Knowledge Management and Sharing (11 papers), Big Data and Business Intelligence (9 papers), Virtual Reality Applications and Impacts (9 papers), Information Systems Theories and Implementation (8 papers), Team Dynamics and Performance (7 papers) and Digital Transformation in Industry (5 papers). The work is most often cited by research in Information Systems and Management (1.2k citations), Communication (370 citations), Management Information Systems (477 citations), Marketing (425 citations) and Human-Computer Interaction (255 citations). Iris Junglas has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Richard T. Watson, Blake Ives, Chon Abraham, Norman Johnson, Lakshmi Goel, Christiane Spitzmüller, Jan vom Brocke, Stefan Debortoli, Christian Meske and Jeanne G. Harris. Their work appears in journals such as Journal of the Association for Information Systems, European Journal of Information Systems, Communications of the ACM, ACM SIGMIS Database the DATABASE for Advances in Information Systems and Decision Support Systems.

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.

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