Chris Jewell

3.3k citations
68 papers · 1.2k indexed · 1 hit paper · h-index 20
Topics
COVID-19 epidemiological studies (18 papers)Animal Disease Management and Epidemiology (17 papers)Influenza Virus Research Studies (8 papers)

In The Last Decade

Chris Jewell

63 papers receiving 1.2k citations

Hit Papers

Novel coronavirus 2019-nCoV (COVID-19): early estimation ...2021202620222024202150100150

Peers

Chris Jewell
Comparison fields: 5 of 130
  • Modeling and Simulation 345
  • Infectious Diseases 283
  • Epidemiology 246
  • Agronomy and Crop Science 222
  • Public Health, Environmental and Occupational Health 193
Replace Marc Choisy with:
Marc Choisy France
Agricola Odoi United States
Nina Marano United States
Angela R. McLean United Kingdom
Calvin Sindato Tanzania
K. Marie McIntyre United Kingdom
Jonathan C. Marshall New Zealand
Manoj Murhekar India
Guillaume Fournié United Kingdom
Daniel R. Feikin United States
Chris Jewell relative to Marc Choisy France Marc Choisy's profile →
Citations per field
00.5×1.5×1.8×
Marc Choisy · 1×
Citations per year

Countries citing papers authored by Chris Jewell

Since Specialization
Citations

This map shows the geographic impact of Chris Jewell'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 Chris Jewell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Jewell more than expected).

Fields of papers citing papers by Chris Jewell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Jewell. 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 Chris Jewell. The network helps show where Chris Jewell may publish in the future.

Co-authorship network of co-authors of Chris Jewell

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Jewell. A scholar is included among the top collaborators of Chris Jewell 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 Chris Jewell. Chris Jewell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 1
5 0
6 3
7 21
8 8
9 11
10
Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimatesbreakdown →
188
11 12
12 12
13 13
14 16
15 7
16 51
17 30
18 9
19 7
20 30

About Chris Jewell

Chris Jewell is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Agronomy and Crop Science, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Animal Disease Management and Epidemiology (17 papers) and Influenza Virus Research Studies (8 papers). The work is most often cited by research in Modeling and Simulation (345 citations), Applied Microbiology and Biotechnology (54 citations) and Agronomy and Crop Science (222 citations). Chris Jewell has collaborated with scholars based in United Kingdom, United States and Malawi. Frequent co-authors include Gareth O. Roberts, Jonathan M. Read, Jessica R. E. Bridgen, Derek A. T. Cummings, Antonia Ho, Theodore Kypraios, Robert Christley, Matt J. Keeling, Peter Neal and Kevin Mortimer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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.

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