Thijs Laarhoven
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Information Systems
- Co-authors
- Alexandr AndoniIlya RazenshteynPiotr IndykLudwig SchmidtMichele MoscaJoop van de PolBenne de WegerChristian Bischof
- Topics
- Cryptography and Data Security (6 papers)Complexity and Algorithms in Graphs (4 papers)semigroups and automata theory (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Access
- Partner nations
- NetherlandsSwitzerlandUnited States
In The Last Decade
Thijs Laarhoven
12 papers receiving 220 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 144
- Computer Vision and Pattern Recognition 119
- Computer Networks and Communications 32
- Computational Theory and Mathematics 31
- Information Systems 26
Countries citing papers authored by Thijs Laarhoven
This map shows the geographic impact of Thijs Laarhoven'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 Thijs Laarhoven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thijs Laarhoven more than expected).
Fields of papers citing papers by Thijs Laarhoven
This network shows the impact of papers produced by Thijs Laarhoven. 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 Thijs Laarhoven. The network helps show where Thijs Laarhoven may publish in the future.
Co-authorship network of co-authors of Thijs Laarhoven
This figure shows the co-authorship network connecting the top 25 collaborators of Thijs Laarhoven. A scholar is included among the top collaborators of Thijs Laarhoven 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 Thijs Laarhoven. Thijs Laarhoven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 113 | |
| 8 | 41 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 15 | |
| 13 | The 3n + 1 conjecture | 1 |
About Thijs Laarhoven
Thijs Laarhoven is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 236 indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers), Complexity and Algorithms in Graphs (4 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Artificial Intelligence (144 citations) and Signal Processing (22 citations). Thijs Laarhoven has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Alexandr Andoni, Ilya Razenshteyn, Piotr Indyk, Ludwig Schmidt, Michele Mosca, Joop van de Pol, Benne de Weger, Christian Bischof, Boris Škorić and Shi Bai. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Access.
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.