Michele Maasberg
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Artificial Intelligence
- Signal Processing
- Co-authors
- Kim‐Kwang Raymond ChooNicole BeebeSudhanshu TyagiNeeraj KumarSudeep TanwarAparna KumariDarrell CarpenterJ.E. Warren
- Topics
- Information and Cyber Security (10 papers)Cybercrime and Law Enforcement Studies (5 papers)Knowledge Management and Sharing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsCommunications of the ACM
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Michele Maasberg
23 papers receiving 332 citations
Peers
Comparison fields: 5 of 77
- Information Systems 157
- Computer Networks and Communications 92
- Sociology and Political Science 87
- Artificial Intelligence 72
- Signal Processing 42
Countries citing papers authored by Michele Maasberg
This map shows the geographic impact of Michele Maasberg'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 Michele Maasberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Maasberg more than expected).
Fields of papers citing papers by Michele Maasberg
This network shows the impact of papers produced by Michele Maasberg. 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 Michele Maasberg. The network helps show where Michele Maasberg may publish in the future.
Co-authorship network of co-authors of Michele Maasberg
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Maasberg. A scholar is included among the top collaborators of Michele Maasberg 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 Michele Maasberg. Michele Maasberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | IT Career Counseling: Are Occupational Congruence and the Job Characteristics Model Effective at Predicting IT Job Satisfaction? | 5 |
| 11 | 11 | |
| 12 | 36 | |
| 13 | Predicting IT Job Satisfaction: Occupational Congruence and the Job Characteristics Model | 3 |
| 14 | 33 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | Network Effects and Data Breaches: Investigating the Impact of Information Sharing and the Cyber Black Market | 2 |
| 18 | 37 | |
| 19 | 7 | |
| 20 | 5 |
About Michele Maasberg
Michele Maasberg is a scholar working on Communication, Information Systems and Computer Science Applications, having authored 24 papers that have together received 346 indexed citations. Recurring topics across this work include Information and Cyber Security (10 papers), Cybercrime and Law Enforcement Studies (5 papers) and Knowledge Management and Sharing (3 papers). The work is most often cited by research in Information Systems (157 citations), Computer Networks and Communications (92 citations) and Signal Processing (42 citations). Michele Maasberg has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kim‐Kwang Raymond Choo, Nicole Beebe, Sudhanshu Tyagi, Neeraj Kumar, Sudeep Tanwar, Aparna Kumari, Darrell Carpenter, J.E. Warren, Alexander McLeod and Emmanuel Ayaburi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Communications of the ACM.
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.