M.F. Kuiper
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Artificial Intelligence top 5%
- Logic, programming, and type systems
- Advanced Software Engineering Methodologies
Papers in
-
- Natural Language Processing Techniques 4
- Semantic Web and Ontologies 3
- Logic, programming, and type systems 3
- Logic, Reasoning, and Knowledge 2
- Topic Modeling 2
-
- Formal Methods in Verification 2
- Co-authors
- S. Doaitse Swierstra (7 shared papers)Harald Vogt (3 shared papers)João Saraiva (2 shared papers)Maarten Pennings (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Lecture notes in computer science (4 papers)Data Archiving and Networked Services (DANS) (7 papers)
- Partner nations
- NetherlandsFinlandPortugal
In The Last Decade
M.F. Kuiper
12 papers receiving 321 citations
Peers
Comparison fields: 5 of 22
- Software 187
- Artificial Intelligence 255
- Information Systems 152
- Computational Theory and Mathematics 103
- Hardware and Architecture 40
Countries citing papers authored by M.F. Kuiper
This map shows the geographic impact of M.F. Kuiper'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 M.F. Kuiper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.F. Kuiper more than expected).
Fields of papers citing papers by M.F. Kuiper
This network shows the impact of papers produced by M.F. Kuiper. 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 M.F. Kuiper. The network helps show where M.F. Kuiper may publish in the future.
Co-authors
The 4 scholars most cited alongside M.F. Kuiper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 179 | |
| 2 | 1989 | 48 | |
| 3 | 1998 | 38 | |
| 4 | Using Attribute Grammars to Derive Efficient Functional Programs | 1986 | 33 |
| 5 | 2000 | 22 | |
| 6 | 1991 | 12 | |
| 7 | 1990 | 5 | |
| 8 | Strictification of computations on trees | 1997 | 4 |
| 9 | Effective function cache management for incremental attribute evaluation | 1996 | 3 |
| 10 | Strictification of lazy functions | 1996 | 2 |
| 11 | Attribute grammars in Prolog | 1986 | 1 |
| 12 | Speeding up parallelism detection for attribute grammars | 1992 | 1 |
About M.F. Kuiper
M.F. Kuiper is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Software, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Natural Language Processing Techniques (4 papers), Semantic Web and Ontologies (3 papers), Logic, programming, and type systems (3 papers), Logic, Reasoning, and Knowledge (2 papers), Topic Modeling (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Software (187 citations), Artificial Intelligence (255 citations), Information Systems (152 citations), Computational Theory and Mathematics (103 citations) and Hardware and Architecture (40 citations). M.F. Kuiper has collaborated with scholars based in Netherlands, Finland and Portugal. Frequent co-authors include S. Doaitse Swierstra, Harald Vogt, João Saraiva and Maarten Pennings. Their work appears in journals such as ACM SIGPLAN Notices, Lecture notes in computer science and Data Archiving and Networked Services (DANS).
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.