Berry de Bruijn
- Molecular Biology
- Artificial Intelligence top 2%
- Statistics, Probability and Uncertainty top 2%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Joel MartinSvetlana KiritchenkoColin CherryXiaodan ZhuIda SimSimona CariniCheryl WoltingIan Donaldson
- Topics
- Biomedical Text Mining and Ontologies (13 papers)Topic Modeling (7 papers)Meta-analysis and systematic reviews (5 papers)
- Journals
- Journal of Clinical EpidemiologyBMC BioinformaticsJournal of the American Medical Informatics Association
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Berry de Bruijn
23 papers receiving 924 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 627
- Artificial Intelligence 563
- Statistics, Probability and Uncertainty 103
- Information Systems 72
- Computer Networks and Communications 68
Countries citing papers authored by Berry de Bruijn
This map shows the geographic impact of Berry de Bruijn'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 Berry de Bruijn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berry de Bruijn more than expected).
Fields of papers citing papers by Berry de Bruijn
This network shows the impact of papers produced by Berry de Bruijn. 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 Berry de Bruijn. The network helps show where Berry de Bruijn may publish in the future.
Co-authorship network of co-authors of Berry de Bruijn
This figure shows the co-authorship network connecting the top 25 collaborators of Berry de Bruijn. A scholar is included among the top collaborators of Berry de Bruijn 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 Berry de Bruijn. Berry de Bruijn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 30 | |
| 3 | 61 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 25 | |
| 9 | 39 | |
| 10 | 173 | |
| 11 | 114 | |
| 12 | 16 | |
| 13 | 11 | |
| 14 | Finiding Gene Function using LitMiner. | 8 |
| 15 | 218 | |
| 16 | 0 | |
| 17 | Extracting Keyphrases from Spoken Audio Documents | 2 |
| 18 | 81 | |
| 19 | Literature Mining in Molecular Biology | 14 |
| 20 | An Automated Method for Studying Interactive Systems | 0 |
About Berry de Bruijn
Berry de Bruijn is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 26 papers that have together received 986 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (7 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (563 citations) and Statistics, Probability and Uncertainty (103 citations). Berry de Bruijn has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Joel Martin, Svetlana Kiritchenko, Colin Cherry, Xiaodan Zhu, Ida Sim, Simona Carini, Cheryl Wolting, Ian Donaldson, Shudong Zhang and Christopher W.V. Hogue. Their work appears in journals such as Journal of Clinical Epidemiology, BMC Bioinformatics and Journal of the American Medical Informatics Association.
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.