Jan Heering

5.0k citations
99 papers · 2.8k indexed · 1 hit paper · h-index 24

Jan Heering

90 papers receiving 2.6k citations

Hit Papers

When and how to develop domain-specific languages9512005202620122019250500750

Peers

Jan Heering
Comparison fields: 5 of 149
  • Software 973
  • Information Systems 851
  • Artificial Intelligence 1.2k
  • Hardware and Architecture 201
  • Computational Theory and Mathematics 468
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Shaukat Ali Norway
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Citations per field
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Citations per year

Countries citing papers authored by Jan Heering

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jan Heering Line = papers co-authored together Jan Heering links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202414
3 20240
4 202111
5 202030
6 201814
7 20131
8
Domain-specific languages in perspective
20073
9
Rewriting-based languages and systems
20032
10
When and how to develop domain-specific languages
20037
11
The Asf+ Sdf Meta-Environment: A Component-Based Language Development
200115
12
Implementing higher-order algebraic specifications
19913
13
The syntax definition formalism SDF : reference manual
19894
14
Principles of lazy and incremental program generation
19873
15
ASF: an algebraic specification formalism
19873
16
A syntax definition formalism
19863
17 198619
18
Partial evaluation and w-completeness of algebraic specifications
19851
19
The efficiency of the equation interpreter compared with the UNH-PROLOG interpreter
19851
20
Algebraic definition of a simple programming language
19850

About Jan Heering

Jan Heering is a scholar working on Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 99 papers that have together received 2.8k indexed citations. Recurring topics across this work include Logic, programming, and type systems (21 papers), Model-Driven Software Engineering Techniques (11 papers), Nuclear Receptors and Signaling (11 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Formal Methods in Verification (11 papers), Advanced Software Engineering Methodologies (9 papers), Parallel Computing and Optimization Techniques (9 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Software (973 citations), Information Systems (851 citations) and Artificial Intelligence (1.2k 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 Merk, J. Rekers, J.A. Bergstra, Ewgenij Proschak, Mark van den Brand and P.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.

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