Christopher Cox
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Biophysics top 5%
Papers in
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- Natural Language Processing Techniques 10
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- Advanced Statistical Methods and Models 9
- Statistical Methods and Bayesian Inference 8
- Statistical Methods in Clinical Trials 6
- Co-authors
- Joseph Borrelli (3 shared papers)William M. Ricci (3 shared papers)Eric D. Caine (3 shared papers)Deborah A. King (1 shared paper)Jeffrey M. Lyness (1 shared paper)Ziggy Yoediono (1 shared paper)Tobias Greitemeyer (1 shared paper)Paul R. Duberstein (4 shared papers)
- Journals
- Cytometry (8 papers)Biometrics (7 papers)Journal of Dairy Research (4 papers)Journal of Pharmaceutical Sciences (3 papers)Journal of the American Statistical Association (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Christopher Cox
100 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 182
- Statistics and Probability 172
- Biophysics 62
- Linguistics and Language 48
- Neuropsychology and Physiological Psychology 12
- Agronomy and Crop Science 83
Countries citing papers authored by Christopher Cox
This map shows the geographic impact of Christopher Cox'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 Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Cox more than expected).
Fields of papers citing papers by Christopher Cox
This network shows the impact of papers produced by Christopher Cox. 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 Cox. The network helps show where Christopher Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 199 | |
| 2 | 1999 | 168 | |
| 3 | 2000 | 90 | |
| 4 | 2001 | 80 | |
| 5 | 1990 | 72 | |
| 6 | Indigenous language technologies in Canada: Assessment, challenges, and successes | 2018 | 62 |
| 7 | 2013 | 62 | |
| 8 | 1952 | 52 | |
| 9 | 1988 | 49 | |
| 10 | 1983 | 47 | |
| 11 | 1988 | 43 | |
| 12 | 1998 | 42 | |
| 13 | 2006 | 39 | |
| 14 | 1998 | 38 | |
| 15 | 1984 | 35 | |
| 16 | 1995 | 34 | |
| 17 | Robust Textual Inference using Diverse Knowledge Sources | 2005 | 33 |
| 18 | 1994 | 31 | |
| 19 | 1996 | 31 | |
| 20 | 1991 | 29 |
About Christopher Cox
Christopher Cox is a scholar working on Artificial Intelligence, Statistics and Probability, Agronomy and Crop Science, Management Science and Operations Research and Surgery, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Optimal Experimental Design Methods (9 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Bayesian Inference (8 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Statistical Methods in Clinical Trials (6 papers), Spectroscopy and Chemometric Analyses (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Statistics and Probability (172 citations), Biophysics (62 citations), Linguistics and Language (48 citations), Neuropsychology and Physiological Psychology (12 citations) and Agronomy and Crop Science (83 citations). Christopher Cox has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joseph Borrelli, William M. Ricci, Eric D. Caine, Deborah A. King, Jeffrey M. Lyness, Ziggy Yoediono, Tobias Greitemeyer, Paul R. Duberstein, Yeates Conwell and Leon L. Wheeless. Their work appears in journals such as Cytometry, Biometrics, Journal of Dairy Research, Journal of Pharmaceutical Sciences and Journal of the American Statistical Association.
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.