Bram van Dijk
Impact in
- Economics and Econometrics top 10%
- Economic and Environmental Valuation
- Housing Market and Economics
Papers in
-
- Natural Language Processing Techniques 4
- Topic Modeling 4
-
- CRISPR and Genetic Engineering 3
- Co-authors
- Richard Paap (4 shared papers)Dennis Fok (1 shared paper)Paulien Hogeweg (5 shared papers)Nobuto Takeuchi (2 shared papers)Marco Spruit (10 shared papers)Josine Junger-Tas (1 shared paper)Harrie Jonkman (1 shared paper)Philip Hans Franses (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (2 papers)Communications Biology (1 paper)FEMS Microbiology Reviews (1 paper)Children & Society (1 paper)
- Partner nations
- NetherlandsGermanyCzechia
In The Last Decade
Bram van Dijk
33 papers receiving 284 citations
Peers
Comparison fields: 5 of 97
- General Decision Sciences 6
- Economics and Econometrics 74
- Transportation 17
- Aging 4
- Molecular Medicine 9
Countries citing papers authored by Bram van Dijk
This map shows the geographic impact of Bram van Dijk'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 Bram van Dijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram van Dijk more than expected).
Fields of papers citing papers by Bram van Dijk
This network shows the impact of papers produced by Bram van Dijk. 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 Bram van Dijk. The network helps show where Bram van Dijk may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram van Dijk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 75 | |
| 2 | 2019 | 27 | |
| 3 | 2020 | 26 | |
| 4 | 2009 | 22 | |
| 5 | 2005 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2015 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2008 | 4 | |
| 18 | Essays on Finite Mixture Models | 2004 | 4 |
| 19 | 2022 | 3 | |
| 20 | 2006 | 3 |
About Bram van Dijk
Bram van Dijk is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Economics and Econometrics and Ecology, having authored 37 papers that have together received 298 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Economic and Environmental Valuation (4 papers), Microbial Community Ecology and Physiology (3 papers), CRISPR and Genetic Engineering (3 papers), Consumer Market Behavior and Pricing (3 papers) and Data Quality and Management (2 papers). The work is most often cited by research in General Decision Sciences (6 citations), Economics and Econometrics (74 citations), Transportation (17 citations), Aging (4 citations) and Molecular Medicine (9 citations). Bram van Dijk has collaborated with scholars based in Netherlands, Germany and Czechia. Frequent co-authors include Richard Paap, Dennis Fok, Paulien Hogeweg, Nobuto Takeuchi, Marco Spruit, Josine Junger-Tas, Harrie Jonkman, Philip Hans Franses, Dick van Dijk and Paul B. Rainey. Their work appears in journals such as Annals of the Rheumatic Diseases, Philosophical Transactions of the Royal Society B Biological Sciences, Communications Biology, FEMS Microbiology Reviews and Children & 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.