Christopher P. Saunders
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Computer Vision and Pattern Recognition top 10%
- Genetics
- Co-authors
- Joe ChappellRebecca A. D. CuellarKarl SwannF. Anthony LaiNina RogersJoAnn BuscagliaLinda DavisArnold J. Stromberg
- Topics
- Handwritten Text Recognition Techniques (9 papers)Forensic and Genetic Research (6 papers)Image Processing and 3D Reconstruction (6 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Christopher P. Saunders
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 381
- Public Health, Environmental and Occupational Health 167
- Reproductive Medicine 129
- Computer Vision and Pattern Recognition 124
- Genetics 121
Countries citing papers authored by Christopher P. Saunders
This map shows the geographic impact of Christopher P. Saunders'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 P. Saunders with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher P. Saunders more than expected).
Fields of papers citing papers by Christopher P. Saunders
This network shows the impact of papers produced by Christopher P. Saunders. 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 P. Saunders. The network helps show where Christopher P. Saunders may publish in the future.
Co-authorship network of co-authors of Christopher P. Saunders
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher P. Saunders. A scholar is included among the top collaborators of Christopher P. Saunders 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 P. Saunders. Christopher P. Saunders 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 | 3 | |
| 3 | 4 | |
| 4 | 19 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 84 | |
| 10 | 26 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 18 | |
| 15 | 181 | |
| 16 | 79 | |
| 17 | 57 | |
| 18 | 51 | |
| 19 | 3 | |
| 20 | 256 |
About Christopher P. Saunders
Christopher P. Saunders is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (9 papers), Forensic and Genetic Research (6 papers) and Image Processing and 3D Reconstruction (6 papers). The work is most often cited by research in Reproductive Medicine (129 citations), Sensory Systems (61 citations) and Biochemistry (54 citations). Christopher P. Saunders has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joe Chappell, Rebecca A. D. Cuellar, Karl Swann, F. Anthony Lai, Nina Rogers, JoAnn Buscaglia, Linda Davis, Arnold J. Stromberg, Amanda B. Hepler and Cédric Neumann. Their work appears in journals such as Analytical Chemistry, PLANT PHYSIOLOGY and Molecular Pharmacology.
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.