Jin Gerlach

21 papers receiving 353 citations

Peers

Jin Gerlach
Comparison fields: 5 of 63
  • Information Systems and Management 92
  • Communication 80
  • Management Information Systems 52
  • Sociology and Political Science 179
  • Information Systems 84
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Indira R. Guzman United States
Jocelyn Cranefield New Zealand
Chih-Hung Peng Taiwan
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Emmanuel Ayaburi United States
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Citations per year

Countries citing papers authored by Jin Gerlach

Since Specialization
Citations

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

Fields of papers citing papers by Jin Gerlach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jin Gerlach, 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 Jin Gerlach Line = papers co-authored together Jin Gerlach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201972
3 201462
4 202036
5 201821
6 201419
7 202319
8 201913
9 202112
10 20219
11 20127
12 20155
13 20134
14 20194
15
On the Benefits of Senior Executives’ Information Security Awareness
20193
16 20193
17 20223
18
ANALYSING EMPLOYEES’ WILLINGNESS TO DISCLOSE INFORMATION IN ENTERPRISE SOCIAL NETWORKS: THE ROLE OF ORGANISATIONAL CULTURE
20172
19
Perceived Information-Based Vulnerability of Enterprise Information Systems: Concept, Antecedents, and Outcomes
20151
20
The Influence of SME Constraints on Organizational IT Security
20181

About Jin Gerlach

Jin Gerlach is a scholar working on Sociology and Political Science, Information Systems, Information Systems and Management, Management Information Systems and Communication, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Information and Cyber Security (5 papers), Privacy, Security, and Data Protection (5 papers), Big Data and Business Intelligence (3 papers), Knowledge Management and Sharing (2 papers), Digital Platforms and Economics (2 papers), Forecasting Techniques and Applications (2 papers) and Information Technology Governance and Strategy (2 papers). The work is most often cited by research in Information Systems and Management (92 citations), Communication (80 citations), Management Information Systems (52 citations), Sociology and Political Science (179 citations) and Information Systems (84 citations). Jin Gerlach has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Peter Buxmann, Ronald T. Cenfetelli, Thomas Widjaja, Alexander Benlian, Ruth Stock, Martin Kowalczyk, Nicole Eling, Luisa Pumplun, Helena Wenninger and Ning Nan. Their work appears in journals such as Journal of the Association for Information Systems, The Journal of Strategic Information Systems, MIS Quarterly, Information Systems Journal and Information Systems Research.

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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