Tiffani J Bright
- Health Information Management top 0.1%
- Molecular Biology
- General Health Professions top 5%
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 5%
- Co-authors
- Remy R CoeytauxDhurjati RaviAnthony WongErin BristowMichael MustyVic HasselbladLori A. BastianDavid F. Lobach
- Topics
- Biomedical Text Mining and Ontologies (7 papers)Electronic Health Records Systems (7 papers)Semantic Web and Ontologies (4 papers)
- Partner nations
- United StatesBrazil
In The Last Decade
Tiffani J Bright
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Health Information Management 608
- Molecular Biology 356
- General Health Professions 313
- Public Health, Environmental and Occupational Health 259
- Artificial Intelligence 209
Countries citing papers authored by Tiffani J Bright
This map shows the geographic impact of Tiffani J Bright'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 Tiffani J Bright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffani J Bright more than expected).
Fields of papers citing papers by Tiffani J Bright
This network shows the impact of papers produced by Tiffani J Bright. 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 Tiffani J Bright. The network helps show where Tiffani J Bright may publish in the future.
Co-authorship network of co-authors of Tiffani J Bright
This figure shows the co-authorship network connecting the top 25 collaborators of Tiffani J Bright. A scholar is included among the top collaborators of Tiffani J Bright 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 Tiffani J Bright. Tiffani J Bright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | Effect of Clinical Decision-Support Systems | 12 |
| 11 | 1 | |
| 12 | Building an Informed Consent Tool Starting with the Patient: The Patient-Centered Virtual Multimedia Interactive Informed Consent (VIC). | 25 |
| 13 | 9 | |
| 14 | Effect of Clinical Decision-Support Systemsbreakdown → | 818 |
| 15 | 42 | |
| 16 | Medication reconciliation using natural language processing and controlled terminologies. | 25 |
| 17 | 109 | |
| 18 | 1 | |
| 19 | Clinicians' perceptions of usability of eNote. | 9 |
| 20 | 172 |
About Tiffani J Bright
Tiffani J Bright is a scholar working on Medical Terminology, Health Information Management and Health Informatics, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Electronic Health Records Systems (7 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Health Information Management (608 citations), Health Informatics (80 citations) and Issues, ethics and legal aspects (40 citations). Tiffani J Bright has collaborated with scholars based in United States and Brazil. Frequent co-authors include Remy R Coeytaux, Dhurjati Ravi, Anthony Wong, Erin Bristow, Michael Musty, Vic Hasselblad, Lori A. Bastian, David F. Lobach, Liz Wing and Amy Kendrick. Their work appears in journals such as Journal of Clinical Oncology, Annals of Internal Medicine and BMC Bioinformatics.
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.