Mieke Jans
- Management Information Systems top 1%
- Information Systems top 2%
- Artificial Intelligence top 10%
- Accounting top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Miklos A. VasarhelyiMichael AllesKoen VanhoofNadine LybaertJan Martijn E. M. van der WerfBenoît DepaireJan MendlingHajo A. Reijers
- Topics
- Business Process Modeling and Analysis (27 papers)Software Engineering Research (14 papers)Big Data and Business Intelligence (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsACM Computing Surveys
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Mieke Jans
43 papers receiving 773 citations
Peers
Comparison fields: 5 of 73
- Management Information Systems 555
- Information Systems 322
- Artificial Intelligence 170
- Accounting 166
- Management Science and Operations Research 142
Countries citing papers authored by Mieke Jans
This map shows the geographic impact of Mieke Jans'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 Mieke Jans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mieke Jans more than expected).
Fields of papers citing papers by Mieke Jans
This network shows the impact of papers produced by Mieke Jans. 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 Mieke Jans. The network helps show where Mieke Jans may publish in the future.
Co-authorship network of co-authors of Mieke Jans
This figure shows the co-authorship network connecting the top 25 collaborators of Mieke Jans. A scholar is included among the top collaborators of Mieke Jans 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 Mieke Jans. Mieke Jans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | Social Mining as a Knowledge Management Solution | 1 |
| 12 | Categorizing Identified Deviations for financial Statements Auditing | 1 |
| 13 | Capturing Process Behavior with Log-Based Process Metrics. | 3 |
| 14 | A Framework for Internal Fraud Risk Reduction at IT Integrating Business Processes, The IFR² Framework | 20 |
| 15 | 68 | |
| 16 | 19 | |
| 17 | A framework for Internal Fraud Risk Reduction at IT Integrating Business Processes | 11 |
| 18 | Internal fraud risk reduction by data mining and process mining: framework and case study | 10 |
| 19 | Business Process Mining for Internal Fraud Risk Reduction: Results of a Case Study | 14 |
| 20 | Data Mining for Fraud Detection: Toward an Improvement on Internal Control Systems? | 11 |
About Mieke Jans
Mieke Jans is a scholar working on Management Information Systems, Information Systems and Accounting, having authored 46 papers that have together received 856 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (27 papers), Software Engineering Research (14 papers) and Big Data and Business Intelligence (9 papers). The work is most often cited by research in Management Information Systems (555 citations), Accounting (166 citations) and Information Systems (322 citations). Mieke Jans has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Miklos A. Vasarhelyi, Michael Alles, Koen Vanhoof, Nadine Lybaert, Jan Martijn E. M. van der Werf, Benoît Depaire, Jan Mendling, Hajo A. Reijers, Jan vom Brocke and Rajendra P. Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and ACM Computing Surveys.
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.