Linda Davis
- Infectious Diseases top 10%
- Statistics and Probability top 5%
- Computer Vision and Pattern Recognition top 10%
- General Health Professions
- Artificial Intelligence
- Co-authors
- Christopher P. SaundersJoAnn BuscagliaAmanda B. HeplerAnita RamplingZane L. BergeElaine BrodyDavid L. WoodAndrea Currie
- Topics
- Handwritten Text Recognition Techniques (5 papers)Statistical Methods and Bayesian Inference (3 papers)Statistical Methods and Inference (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Linda Davis
32 papers receiving 581 citations
Peers
Comparison fields: 5 of 130
- Infectious Diseases 189
- Statistics and Probability 83
- Computer Vision and Pattern Recognition 70
- General Health Professions 66
- Artificial Intelligence 57
Countries citing papers authored by Linda Davis
This map shows the geographic impact of Linda Davis'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 Linda Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Davis more than expected).
Fields of papers citing papers by Linda Davis
This network shows the impact of papers produced by Linda Davis. 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 Linda Davis. The network helps show where Linda Davis may publish in the future.
Co-authorship network of co-authors of Linda Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Davis. A scholar is included among the top collaborators of Linda Davis 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 Linda Davis. Linda Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | CONSTRUCTION AND EVALUATION OF CLASSIFIERS FOR FORENSIC DOCUMENT ANALYSIS1 | 11 |
| 2 | 84 | |
| 3 | 26 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | Are employees informed about their health care coverage? Evidence from the buyers health care action group. | 1 |
| 8 | 199 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | Impact of recent court decisions concerning water and interstate commerce on water resources of the State of New Mexico | 2 |
About Linda Davis
Linda Davis is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Occupational Therapy, having authored 32 papers that have together received 627 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Infectious Diseases (189 citations), Statistics and Probability (83 citations) and Applied Microbiology and Biotechnology (20 citations). Linda Davis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christopher P. Saunders, JoAnn Buscaglia, Amanda B. Hepler, Anita Rampling, Zane L. Berge, Elaine Brody, David L. Wood, Andrea Currie, Diane White and Kevin Katz. Their work appears in journals such as Biometrics, Social Science & Medicine and Journal of Clinical Microbiology.
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.