Jan Heering
Impact in
- Software top 0.2%
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Information Systems top 0.5%
- Software Engineering Research
- Service-Oriented Architecture and Web Services
Papers in
- Software 12
- Model-Driven Software Engineering Techniques 8
- Biochemistry 13
- Eicosanoids and Hypertension Pharmacology 12
- Co-authors
- Marjan Mernik (3 shared papers)Anthony M. Sloane (2 shared papers)Paul Klint (7 shared papers)Paul Klint (12 shared papers)Daniel J. Merk (34 shared papers)J. Rekers (6 shared papers)Arie van Deursen (4 shared papers)Jan Aldert Bergstra (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (23 papers)ACM Transactions on Programming Languages and Systems (5 papers)ChemMedChem (4 papers)ACM SIGPLAN Notices (4 papers)iScience (3 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Jan Heering
98 papers receiving 3.6k citations
Jan Heering's Hit Papers
Peers
Comparison fields: 5 of 159
- Software 1.4k
- Information Systems 1.2k
- Artificial Intelligence 1.7k
- Computational Theory and Mathematics 628
- Hardware and Architecture 254
Countries citing papers authored by Jan Heering
This map shows the geographic impact of Jan Heering'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 Heering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Heering more than expected).
Fields of papers citing papers by Jan Heering
This network shows the impact of papers produced by Jan Heering. 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 Heering. The network helps show where Jan Heering may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Heering, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | When and how to develop domain-specific languages Hit paper breakdown → | 2005 | 1235 |
| 2 | 2001 | 249 | |
| 3 | 1989 | 214 | |
| 4 | 2002 | 150 | |
| 5 | 1996 | 135 | |
| 6 | 1990 | 127 | |
| 7 | 2017 | 78 | |
| 8 | 2012 | 78 | |
| 9 | 2017 | 77 | |
| 10 | 2020 | 53 | |
| 11 | 2000 | 51 | |
| 12 | 2019 | 48 | |
| 13 | 2020 | 47 | |
| 14 | 2015 | 46 | |
| 15 | 2015 | 45 | |
| 16 | 2021 | 44 | |
| 17 | 2019 | 39 | |
| 18 | 1985 | 38 | |
| 19 | 2001 | 35 | |
| 20 | 1990 | 35 |
About Jan Heering
Jan Heering is a scholar working on Software, Biochemistry, Computational Theory and Mathematics, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 102 papers that have together received 3.8k indexed citations. Recurring topics across this work include Logic, programming, and type systems (19 papers), Peroxisome Proliferator-Activated Receptors (13 papers), Nuclear Receptors and Signaling (12 papers), Eicosanoids and Hypertension Pharmacology (12 papers), Software Engineering Research (11 papers), Formal Methods in Verification (9 papers), Retinoids in leukemia and cellular processes (8 papers) and Model-Driven Software Engineering Techniques (8 papers). The work is most often cited by research in Software (1.4k citations), Information Systems (1.2k citations), Artificial Intelligence (1.7k citations), Computational Theory and Mathematics (628 citations) and Hardware and Architecture (254 citations). Jan Heering has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Marjan Mernik, Anthony M. Sloane, Paul Klint, Paul Klint, Daniel J. Merk, J. Rekers, Arie van Deursen, Jan Aldert Bergstra, Mark van den Brand and Pieter A. S. Olivier. Their work appears in journals such as Journal of Medicinal Chemistry, ACM Transactions on Programming Languages and Systems, ChemMedChem, ACM SIGPLAN Notices and iScience.
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.