Christopher R. Bilder
- Infectious Diseases top 2%
- Biomedical Engineering top 10%
- Epidemiology
- Molecular Biology
- Statistics and Probability top 2%
- Co-authors
- Joshua M. TebbsChristopher S. McMahanThomas M. LoughinBaha AbdalhamidPeter C. IwenScott A. KoepsellEmily McCutchenSteven H. Hinrichs
- Topics
- SARS-CoV-2 detection and testing (32 papers)Biosensors and Analytical Detection (18 papers)Respiratory viral infections research (12 papers)
- Partner nations
- United StatesCanadaEthiopia
In The Last Decade
Christopher R. Bilder
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 166
- Infectious Diseases 691
- Biomedical Engineering 299
- Epidemiology 249
- Molecular Biology 237
- Statistics and Probability 183
Countries citing papers authored by Christopher R. Bilder
This map shows the geographic impact of Christopher R. Bilder'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 Christopher R. Bilder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. Bilder more than expected).
Fields of papers citing papers by Christopher R. Bilder
This network shows the impact of papers produced by Christopher R. Bilder. 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 Christopher R. Bilder. The network helps show where Christopher R. Bilder may publish in the future.
Co-authorship network of co-authors of Christopher R. Bilder
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Bilder. A scholar is included among the top collaborators of Christopher R. Bilder 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 Christopher R. Bilder. Christopher R. Bilder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 193 | |
| 5 | 11 | |
| 6 | Evaluation and Experimental Design for Binomial Group Testing [R package binGroup version 2.2-1] | 2 |
| 7 | 21 | |
| 8 | 37 | |
| 9 | 28 | |
| 10 | 59 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 54 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 33 | |
| 18 | 9 | |
| 19 | 32 | |
| 20 | 4 |
About Christopher R. Bilder
Christopher R. Bilder is a scholar working on Infectious Diseases, Statistics and Probability and Epidemiology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (32 papers), Biosensors and Analytical Detection (18 papers) and Respiratory viral infections research (12 papers). The work is most often cited by research in Infectious Diseases (691 citations), Statistics and Probability (183 citations) and Modeling and Simulation (68 citations). Christopher R. Bilder has collaborated with scholars based in United States, Canada and Ethiopia. Frequent co-authors include Joshua M. Tebbs, Christopher S. McMahan, Thomas M. Loughin, Baha Abdalhamid, Peter C. Iwen, Scott A. Koepsell, Emily McCutchen, Steven H. Hinrichs, Peng Chen and Peng Chen. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Statistics in Medicine.
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.