J. van de Graaf
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics
- Ecology
- Co-authors
- Christopher A. FuchsTânia V. FernandesMarcel JanssenF.R.B. CruzBrian A. O’ConnorAgustín Sánchez‐ArcillaFernando RiveroJulien De Rouck
- Topics
- Benford’s Law and Fraud Detection (2 papers)Quantum Information and Cryptography (1 paper)Cryptography and Data Security (1 paper)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Journals
- Water ResearchIEEE Transactions on Information TheoryIEEE Transactions on Information Forensics and Security
- Partner nations
- BrazilNetherlandsCanada
In The Last Decade
J. van de Graaf
6 papers receiving 476 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 391
- Atomic and Molecular Physics, and Optics 325
- Statistical and Nonlinear Physics 67
- Computational Theory and Mathematics 32
- Ecology 29
Countries citing papers authored by J. van de Graaf
This map shows the geographic impact of J. van de Graaf'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 J. van de Graaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. van de Graaf more than expected).
Fields of papers citing papers by J. van de Graaf
This network shows the impact of papers produced by J. van de Graaf. 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 J. van de Graaf. The network helps show where J. van de Graaf may publish in the future.
Co-authorship network of co-authors of J. van de Graaf
This figure shows the co-authorship network connecting the top 25 collaborators of J. van de Graaf. A scholar is included among the top collaborators of J. van de Graaf 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 J. van de Graaf. J. van de Graaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 34 | |
| 5 | 434 | |
| 6 | The 'Dynamics of Beaches' Project | 2 |
About J. van de Graaf
J. van de Graaf is a scholar working on Statistics and Probability, Earth-Surface Processes and Condensed Matter Physics, having authored 6 papers that have together received 493 indexed citations. Recurring topics across this work include Benford’s Law and Fraud Detection (2 papers), Quantum Information and Cryptography (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Artificial Intelligence (391 citations), Atomic and Molecular Physics, and Optics (325 citations) and Statistical and Nonlinear Physics (67 citations). J. van de Graaf has collaborated with scholars based in Brazil, Netherlands and Canada. Frequent co-authors include Christopher A. Fuchs, Tânia V. Fernandes, Marcel Janssen, F.R.B. Cruz, Brian A. O’Connor, Agustín Sánchez‐Arcilla, Fernando Rivero, Julien De Rouck, N. Christiansen and P. Prinos. Their work appears in journals such as Water Research, IEEE Transactions on Information Theory and IEEE Transactions on Information Forensics and Security.
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.