Marcel van der Vlugt
- Artificial Intelligence top 5%
- Geometry and Topology top 5%
- Electrical and Electronic Engineering
- Discrete Mathematics and Combinatorics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Gerard van der GeerRené SchoofJaap TopChris PetersPaulien C. MeijerF.E. de LeeuwS.J.H. Bredie
- Topics
- Coding theory and cryptography (29 papers)graph theory and CDMA systems (11 papers)Cellular Automata and Applications (8 papers)
- Journals
- IEEE Transactions on Information TheoryMathematics of ComputationBulletin of the London Mathematical Society
- Partner nations
- Netherlands
In The Last Decade
Marcel van der Vlugt
32 papers receiving 464 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 412
- Geometry and Topology 180
- Electrical and Electronic Engineering 180
- Discrete Mathematics and Combinatorics 134
- Computational Theory and Mathematics 114
Countries citing papers authored by Marcel van der Vlugt
This map shows the geographic impact of Marcel van der Vlugt'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 Marcel van der Vlugt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel van der Vlugt more than expected).
Fields of papers citing papers by Marcel van der Vlugt
This network shows the impact of papers produced by Marcel van der Vlugt. 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 Marcel van der Vlugt. The network helps show where Marcel van der Vlugt may publish in the future.
Co-authorship network of co-authors of Marcel van der Vlugt
This figure shows the co-authorship network connecting the top 25 collaborators of Marcel van der Vlugt. A scholar is included among the top collaborators of Marcel van der Vlugt 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 Marcel van der Vlugt. Marcel van der Vlugt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 13 | |
| 3 | 9 | |
| 4 | 53 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 41 | |
| 9 | 32 | |
| 10 | 12 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | Generalized {H}amming weights of codes and curves over finite fields with many points | 4 |
| 14 | Reed-Muller codes and supersingular curves. I | 40 |
| 15 | 13 | |
| 16 | 8 | |
| 17 | 24 | |
| 18 | 41 | |
| 19 | 4 | |
| 20 | 15 |
About Marcel van der Vlugt
Marcel van der Vlugt is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Artificial Intelligence, having authored 32 papers that have together received 508 indexed citations. Recurring topics across this work include Coding theory and cryptography (29 papers), graph theory and CDMA systems (11 papers) and Cellular Automata and Applications (8 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (134 citations), Geometry and Topology (180 citations) and Algebra and Number Theory (76 citations). Marcel van der Vlugt has collaborated with scholars based in Netherlands. Frequent co-authors include Gerard van der Geer, René Schoof, Jaap Top, Chris Peters, Paulien C. Meijer, F.E. de Leeuw and S.J.H. Bredie. Their work appears in journals such as IEEE Transactions on Information Theory, Mathematics of Computation and Bulletin of the London Mathematical Society.
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.