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Kanika Goel · Study

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Kanika Goel

8 works· latest 2024· 1 institutionscluster: provisionalORCID 0000-0002-6250-2589

h-index8

i108

Citations263

Works here8

20

21

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24

Most cited in this library

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study2021 · 112 citations
Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections2020 · 36 citations
Towards interactive event log forensics: Detecting and quantifying timestamp imperfections2022 · 24 citations
Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity2020 · 21 citations
A Typology of Business Process Standardization Strategies2021 · 20 citations

Works

8 shown

Demystifying data governance for process mining: Insights from a Delphi study

Information & Management·2024·3 authors·Open access

16citations

Towards interactive event log forensics: Detecting and quantifying timestamp imperfections

Information Systems·2022·5 authors

24citations

Process data analytics for hospital case-mix planning

Journal of Biomedical Informatics·2022·6 authors·Open access

17citations

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

Business & Information Systems Engineering·2021·9 authors·Open access

112citations

A Typology of Business Process Standardization Strategies

Business & Information Systems Engineering·2021·3 authors·Open access

20citations

Using Multi-Level Information in Hierarchical Process Mining: Balancing Behavioural Quality and Model Complexity

International Conference on Process Mining (ICPM)·2020·3 authors·other·Open access

21citations

Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections

Lecture notes in computer science·2020·6 authors·other·Open access

36citations

Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining

Lecture notes in computer science·2020·6 authors·other·Open access

17citations