James Brown

1.4k citations
77 papers · 895 indexed · h-index 18
Topics
Census and Population Estimation (18 papers)Data-Driven Disease Surveillance (10 papers)Global Maternal and Child Health (10 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchMedicine & Science in Sports & Exercise

In The Last Decade

James Brown

72 papers receiving 832 citations

Peers

James Brown
Comparison fields: 5 of 135
  • Epidemiology 205
  • Sociology and Political Science 143
  • Statistics and Probability 122
  • Pediatrics, Perinatology and Child Health 121
  • General Health Professions 116
Replace Andrew Smith with:
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Citations per field
00.5×3.4×
Andrew Smith · 1×
Citations per year

Countries citing papers authored by James Brown

Since Specialization
Citations

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

Fields of papers citing papers by James Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Brown

This figure shows the co-authorship network connecting the top 25 collaborators of James Brown. A scholar is included among the top collaborators of James Brown 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 James Brown. James Brown 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
The Legal Needs of People Living with a Sexually Transmissible Infection or Blood-Borne Virus: Perspectives From a Sample of the Australian Sexual Health and Blood Borne Virus Workforce.
1
2 2
3 1
4 5
5 12
6 5
7
The Patient's Voice: Australian Health Care Quality and Safety Regulation from the Perspective of the Public.
1
8 7
9 1
10 1
11 4
12
Estimating and correcting for over-count in the 2011 census
3
13 15
14
District-level Estimates of Institutional Births in Ghana: Application of Small Area Estimation Technique Using Census and DHS Data
27
15 15
16 38
17 45
18 24
19 89
20 28

About James Brown

James Brown is a scholar working on Statistics and Probability, Gender Studies and Pediatrics, Perinatology and Child Health, having authored 77 papers that have together received 895 indexed citations. Recurring topics across this work include Census and Population Estimation (18 papers), Data-Driven Disease Surveillance (10 papers) and Global Maternal and Child Health (10 papers). The work is most often cited by research in Statistics and Probability (122 citations), Developmental Neuroscience (50 citations) and Ophthalmology (65 citations). James Brown has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Sabu S. Padmadas, Albert R. Wildt, Ben M. Tsai, Meijing Wang, Daniel R. Meldrum, Ian Diamond, Fiifi Amoako Johnson, David J. Hunter, Annegret Dahlmann‐Noor and Jane Falkingham. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Medicine & Science in Sports & Exercise.

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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