Joachim Herbst

2.2k total citations · 1 hit paper
10 papers, 839 citations indexed

About

Joachim Herbst is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems. According to data from OpenAlex, Joachim Herbst has authored 10 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Information Systems, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Joachim Herbst's work include Business Process Modeling and Analysis (10 papers), Service-Oriented Architecture and Web Services (4 papers) and Semantic Web and Ontologies (4 papers). Joachim Herbst is often cited by papers focused on Business Process Modeling and Analysis (10 papers), Service-Oriented Architecture and Web Services (4 papers) and Semantic Web and Ontologies (4 papers). Joachim Herbst collaborates with scholars based in Germany, Netherlands and Austria. Joachim Herbst's co-authors include Boudewijn F. van Dongen, Laura Măruşter, A.J.M.M. Weijters, Wil M. P. van der Aalst, Dimitris Karagiannis, Dimitris Karagiannis, Dimitris Karagiannis, Manfred Reichert, Dieter Müller and Dominic Müller and has published in prestigious journals such as Computers in Industry, Data & Knowledge Engineering and University of Twente Research Information.

In The Last Decade

Joachim Herbst

10 papers receiving 750 citations

Hit Papers

Workflow mining: A survey of issues and approaches 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Workflow mining: A survey of issues and approaches
    2003 591 citations Wil M. P. van der Aalst, Boudewijn F. van Dongen et al. Data & Knowledge Engineering profile →

Peers

Joachim Herbst
Dirk Fahland Netherlands
David Edmond Australia
Claudio Di Ciccio Austria
Luciano García‐Bañuelos Estonia
Michael zur Muehlen United States
Agnes Koschmider Germany
Artem Polyvyanyy Australia
Gero Decker Germany
Johann Eder Austria
Stefanie Rinderle Germany
Dirk Fahland Netherlands
Joachim Herbst
Citations per year, relative to Joachim Herbst Joachim Herbst (= 1×) peers Dirk Fahland

Countries citing papers authored by Joachim Herbst

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Herbst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Herbst

This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Herbst. A scholar is included among the top collaborators of Joachim Herbst 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 Joachim Herbst. Joachim Herbst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Herbst, Joachim, et al.. (2013). Managing Complex Data for Electrical/Electronic Components: Challenges and Requirements. 141–150. 1 indexed citations
2.
Reichert, Manfred, et al.. (2013). On the Integration of Electrical/Electronic Product Data in the Automotive Domain. Datenbank-Spektrum. 13(3). 189–199. 5 indexed citations
3.
Müller, Dieter, et al.. (2007). Data-driven Design of Engineering Processes with COREPROModeler. University of Twente Research Information. 4 indexed citations
4.
Müller, Dominic, et al.. (2007). Data-Driven Design of Engineering Processes with COREPROModeler. University of Twente Research Information. 20. 376–378. 1 indexed citations
5.
Herbst, Joachim, et al.. (2005). Requirements for the Workflow-based Support of Release Management Processes in the Automotive Sector.. University of Twente Research Information. 130–134. 4 indexed citations
6.
Herbst, Joachim, et al.. (2005). Interactive workflow mining—requirements, concepts and implementation. Data & Knowledge Engineering. 56(1). 41–63. 24 indexed citations
7.
Herbst, Joachim & Dimitris Karagiannis. (2003). Workflow mining with InWoLvE. Computers in Industry. 53(3). 245–264. 76 indexed citations
8.
Aalst, Wil M. P. van der, et al.. (2003). Workflow mining: A survey of issues and approaches. Data & Knowledge Engineering. 47(2). 237–267. 591 indexed citations breakdown →
9.
Herbst, Joachim & Dimitris Karagiannis. (2002). Integrating machine learning and workflow management to support acquisition and adaptation of workflow models. 745–752. 65 indexed citations
10.
Herbst, Joachim & Dimitris Karagiannis. (2000). Integrating machine learning and workflow management to support acquisition and adaptation of workflow models. Intelligent Systems in Accounting Finance & Management. 9(2). 67–92. 68 indexed citations

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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