Jan Claes

1.5k total citations
9 papers, 98 citations indexed

About

Jan Claes is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jan Claes has authored 9 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Jan Claes's work include Business Process Modeling and Analysis (7 papers), Service-Oriented Architecture and Web Services (3 papers) and Semantic Web and Ontologies (3 papers). Jan Claes is often cited by papers focused on Business Process Modeling and Analysis (7 papers), Service-Oriented Architecture and Web Services (3 papers) and Semantic Web and Ontologies (3 papers). Jan Claes collaborates with scholars based in Belgium, Netherlands and Denmark. Jan Claes's co-authors include Geert Poels, Irene Vanderfeesten, Paul Grefen, Frederik Gailly, Siti Rochimah, Riyanarto Sarno, Jochen De Weerdt, Andrea Burattin, Boudewijn F. van Dongen and Wil M. P. van der Aalst and has published in prestigious journals such as Expert Systems with Applications, Decision Support Systems and Information Systems Frontiers.

In The Last Decade

Jan Claes

8 papers receiving 92 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Claes Belgium 5 75 53 37 12 12 9 98
Kimon Batoulis Germany 5 76 1.0× 48 0.9× 28 0.8× 22 1.8× 20 1.7× 9 94
David Knuplesch Germany 7 105 1.4× 85 1.6× 39 1.1× 19 1.6× 7 0.6× 19 127
Jon Espen Ingvaldsen Norway 5 35 0.5× 72 1.4× 53 1.4× 10 0.8× 20 1.7× 15 117
Henrik Leopold Germany 9 129 1.7× 93 1.8× 54 1.5× 23 1.9× 26 2.2× 18 157
Ruopeng Lu Australia 4 139 1.9× 118 2.2× 62 1.7× 19 1.6× 11 0.9× 4 160
Mallikarjuna Paramesha India 6 24 0.3× 30 0.6× 36 1.0× 14 1.2× 21 1.8× 12 109
Stefan Obermeier Germany 3 83 1.1× 48 0.9× 27 0.7× 16 1.3× 5 0.4× 5 130
Alfredo Bolt Netherlands 3 69 0.9× 51 1.0× 40 1.1× 27 2.3× 20 1.7× 4 101
Samedi Heng Belgium 7 34 0.5× 71 1.3× 42 1.1× 6 0.5× 11 0.9× 23 135
Ho-Pun Lam Australia 5 90 1.2× 85 1.6× 67 1.8× 18 1.5× 8 0.7× 13 139

Countries citing papers authored by Jan Claes

Since Specialization
Citations

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

Fields of papers citing papers by Jan Claes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Claes

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

All Works

9 of 9 papers shown
1.
Burattin, Andrea, Jochen De Weerdt, Boudewijn F. van Dongen, Jan Claes, & Wil M. P. van der Aalst. (2020). Special issue on business process intelligence. Computing. 103(1). 1–2. 4 indexed citations
2.
Claes, Jan, et al.. (2018). Process Mining in Supply Chains: A Systematic Literature Review. International Journal of Electrical and Computer Engineering (IJECE). 8(6). 4626–4626. 12 indexed citations
3.
Claes, Jan, Irene Vanderfeesten, Frederik Gailly, Paul Grefen, & Geert Poels. (2017). The Structured Process Modeling Method (SPMM) what is the best way for me to construct a process model?. Decision Support Systems. 100. 57–76. 10 indexed citations
4.
Claes, Jan, Irene Vanderfeesten, Frederik Gailly, Paul Grefen, & Geert Poels. (2015). The Structured Process Modeling Theory (SPMT) a cognitive view on why and how modelers benefit from structuring the process of process modeling. Information Systems Frontiers. 17(6). 1401–1425. 18 indexed citations
5.
Claes, Jan & Geert Poels. (2014). Merging event logs for process mining: A rule based merging method and rule suggestion algorithm. Expert Systems with Applications. 41(16). 7291–7306. 28 indexed citations
6.
Claes, Jan, et al.. (2014). Improving the quality of the Heuristics Miner in ProM 6.2. Expert Systems with Applications. 41(17). 7678–7690. 22 indexed citations
7.
Claes, Jan. (2013). An exploration of the relationship between modeling behavior and process model quality. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
8.
Claes, Jan & Geert Poels. (2013). Process mining and the ProM framework: an exploratory survey. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
9.
Claes, Jan & Geert Poels. (2012). Process Mining and the ProM Framework: An Exploratory Survey - Extended report. 1 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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