Oliver Bear Don’t Walk
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Epidemiology
- General Health Professions
- Co-authors
- Michel DumontierRemzi ÇelebiDaniel J. FellerMichael T. YinJason ZuckerNoémie ElhadadPeter C. Gordon
- Topics
- Food Security and Health in Diverse Populations (2 papers)Nutritional Studies and Diet (1 paper)Microbial Natural Products and Biosynthesis (1 paper)
- Journals
- Scientific ReportsPubMed
- Partner nations
- United StatesNetherlandsTürkiye
In The Last Decade
Oliver Bear Don’t Walk
3 papers receiving 107 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 60
- Computational Theory and Mathematics 57
- Artificial Intelligence 18
- Epidemiology 14
- General Health Professions 13
Countries citing papers authored by Oliver Bear Don’t Walk
This map shows the geographic impact of Oliver Bear Don’t Walk'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 Oliver Bear Don’t Walk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Bear Don’t Walk more than expected).
Fields of papers citing papers by Oliver Bear Don’t Walk
This network shows the impact of papers produced by Oliver Bear Don’t Walk. 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 Oliver Bear Don’t Walk. The network helps show where Oliver Bear Don’t Walk may publish in the future.
Co-authorship network of co-authors of Oliver Bear Don’t Walk
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Bear Don’t Walk. A scholar is included among the top collaborators of Oliver Bear Don’t Walk 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 Oliver Bear Don’t Walk. Oliver Bear Don’t Walk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices. | 8 |
| 3 | Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning. | 25 |
About Oliver Bear Don’t Walk
Oliver Bear Don’t Walk is a scholar working on Pharmacy, Health and General Health Professions, having authored 3 papers that have together received 108 indexed citations. Recurring topics across this work include Food Security and Health in Diverse Populations (2 papers), Nutritional Studies and Diet (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (57 citations), Health Informatics (2 citations) and Biophysics (5 citations). Oliver Bear Don’t Walk has collaborated with scholars based in United States, Netherlands and Türkiye. Frequent co-authors include Michel Dumontier, Remzi Çelebi, Daniel J. Feller, Michael T. Yin, Jason Zucker, Noémie Elhadad and Peter C. Gordon. Their work appears in journals such as Scientific Reports and PubMed.
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.