Christopher Cox
Impact in
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- Wireless Communication Networks Research
- Cooperative Communication and Network Coding
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- Noise Effects and Management
Papers in
- Genetics 2
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Philomena M. Bluyssen (1 shared paper)Mary T. Caserta (1 shared paper)Shirley Eberly (1 shared paper)Jan A. Moynihan (1 shared paper)Wendi Cross (1 shared paper)Xia Jin (1 shared paper)Peter A. Wyman (1 shared paper)C. C. Balch (1 shared paper)
- Journals
- Journal of Dairy Research (3 papers)Journal of Neuropsychiatry (1 paper)Journal of Dairy Science (1 paper)Energy and Buildings (1 paper)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Christopher Cox
10 papers receiving 257 citations
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 95
- Speech and Hearing 17
- Biological Psychiatry 6
- Electrical and Electronic Engineering 129
- Building and Construction 29
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 14 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
| # | Work | ||
|---|---|---|---|
| 1 | An Introduction to LTE: LTE, LTE-Advanced, SAE and 4G Mobile Communications | 2012 | 138 |
| 2 | 2007 | 44 | |
| 3 | 2002 | 41 | |
| 4 | 1961 | 18 | |
| 5 | 1952 | 15 | |
| 6 | 1954 | 15 | |
| 7 | 1991 | 8 | |
| 8 | An Introduction to 5G: The New Radio, 5G Network and Beyond | 2020 | 6 |
| 9 | 1953 | 3 | |
| 10 | 1958 | 3 |
About Christopher Cox
Christopher Cox is a scholar working on Media Technology, Genetics, Numerical Analysis, Social Psychology and Control and Systems Engineering, having authored 10 papers that have together received 291 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (2 papers), Sustainable Building Design and Assessment (1 paper), Magnesium in Health and Disease (1 paper), Mental Health Research Topics (1 paper), Facilities and Workplace Management (1 paper), Control Systems and Identification (1 paper), Cognitive Abilities and Testing (1 paper) and Ruminant Nutrition and Digestive Physiology (1 paper). The work is most often cited by research in Computer Networks and Communications (95 citations), Speech and Hearing (17 citations), Biological Psychiatry (6 citations), Electrical and Electronic Engineering (129 citations) and Building and Construction (29 citations). Christopher Cox has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Philomena M. Bluyssen, Mary T. Caserta, Shirley Eberly, Jan A. Moynihan, Wendi Cross, Xia Jin, Peter A. Wyman, C. C. Balch, D. A. Balch and Susan J. Bartlett. Their work appears in journals such as Journal of Dairy Research, Journal of Neuropsychiatry, Journal of Dairy Science, Energy and Buildings and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.