Berry de Bruijn

1.5k total citations
26 papers, 986 citations indexed

About

Berry de Bruijn is a scholar working on Molecular Biology, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Berry de Bruijn has authored 26 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Artificial Intelligence and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Berry de Bruijn's work include Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (7 papers) and Meta-analysis and systematic reviews (5 papers). Berry de Bruijn is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Topic Modeling (7 papers) and Meta-analysis and systematic reviews (5 papers). Berry de Bruijn collaborates with scholars based in Canada, United States and United Kingdom. Berry de Bruijn's 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 and has published in prestigious journals such as Journal of Clinical Epidemiology, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Berry de Bruijn

23 papers receiving 924 citations

Peers

Berry de Bruijn

SPU

CNC

Patrick Ruch Switzerland

Bevan Koopman Australia

Aurélie Névéol France

Ioannis Korkontzelos United Kingdom

裕二池谷 United States

D. A. B. Lindberg United States

P. Nadkarni United States

Qiao Jin United States

Piotr Przybyła Poland

Csongor Nyulas United States

Patrick Ruch Switzerland

Berry de Bruijn

1.3k ×2.1

1.2k ×2.1

14 ×0.1

SPU

154 ×2.1

24 ×0.4

CNC

Citations per year, relative to Berry de Bruijn Berry de Bruijn (= 1×) peers Patrick Ruch

Countries citing papers authored by Berry de Bruijn

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Nejadgholi, Isar, Kathleen Fraser, & Berry de Bruijn. (2020). Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. NPARC. 177–186. 10 indexed citations

Li, Tianjing, Ian J. Saldanha, Joseph K. Canner, et al.. (2019). A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews. Journal of Clinical Epidemiology. 115. 77–89. 30 indexed citations

Sarker, Abeed, Maksim Belousov, Kai Hakala, et al.. (2018). Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. Journal of the American Medical Informatics Association. 25(10). 1274–1283. 61 indexed citations

Carter, Dave, et al.. (2018). Revitalizing the Global Public Health Intelligence Network (GPHIN). Online Journal of Public Health Informatics. 10(1). 8 indexed citations

Sampson, Margaret, Berry de Bruijn, Christine Urquhart, & Kaveh G Shojania. (2016). Complementary approaches to searching MEDLINE may be sufficient for updating systematic reviews. Journal of Clinical Epidemiology. 78. 108–115. 17 indexed citations

Saldanha, Ian J., Christopher H. Schmid, Joseph Lau, et al.. (2016). Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial. Systematic Reviews. 5(1). 196–196. 9 indexed citations

Zhu, Xiaodan, Colin Cherry, Svetlana Kiritchenko, Joel Martin, & Berry de Bruijn. (2013). Detecting concept relations in clinical text: Insights from a state-of-the-art model. Journal of Biomedical Informatics. 46(2). 275–285. 22 indexed citations

Cherry, Colin, Xiaodan Zhu, Joel Martin, & Berry de Bruijn. (2013). À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. Journal of the American Medical Informatics Association. 20(5). 843–848. 25 indexed citations

Cherry, Colin, Saif M. Mohammad, & Berry de Bruijn. (2012). Binary Classifiers and Latent Sequence Models for Emotion Detection in Suicide Notes. PubMed. 5s1(Suppl. 1). BII.S8933–BII.S8933. 39 indexed citations

10.

Bruijn, Berry de, Colin Cherry, Svetlana Kiritchenko, Joel Martin, & Xiaodan Zhu. (2011). Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. Journal of the American Medical Informatics Association. 18(5). 557–562. 173 indexed citations

11.

Kiritchenko, Svetlana, Berry de Bruijn, Simona Carini, Joel Martin, & Ida Sim. (2010). ExaCT: automatic extraction of clinical trial characteristics from journal publications. BMC Medical Informatics and Decision Making. 10(1). 56–56. 114 indexed citations

12.

Bruijn, Berry de, et al.. (2006). Identifying Wrist Fracture Patients with High Accuracy by Automatic Categorization of X-ray Reports. Journal of the American Medical Informatics Association. 13(6). 696–698. 16 indexed citations

13.

Martin, Joel, et al.. (2006). LitMiner: integration of library services within a bio-informatics application. PubMed. 3(1). 11–11. 11 indexed citations

14.

Bruijn, Berry de & Joel Martin. (2003). Finiding Gene Function using LitMiner.. Text REtrieval Conference. 451–459. 8 indexed citations

15.

Donaldson, Ian, Joel Martin, Berry de Bruijn, et al.. (2003). PreBIND and Textomy – mining the biomedical literature for protein-protein interactions using a support vector machine. BMC Bioinformatics. 4(1). 11–11. 218 indexed citations

16.

Martin, Joel, et al.. (2003). Haystacks and hypotheses. Proceedings of the American Society for Information Science and Technology. 40(1). 59–64.

17.

Désilets, Alain, et al.. (2002). Extracting Keyphrases from Spoken Audio Documents. NPARC. 2 indexed citations

18.

Bruijn, Berry de & Joel Martin. (2002). Getting to the (c)ore of knowledge: mining biomedical literature. International Journal of Medical Informatics. 67(1-3). 7–18. 81 indexed citations

19.

Bruijn, Berry de, et al.. (2002). Literature Mining in Molecular Biology. 14 indexed citations

20.

Bruijn, Berry de, Robert C. Holte, & Joel Martin. (1999). An Automated Method for Studying Interactive Systems. 36.

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.

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