James Brown

74 papers receiving 898 citations

Peers

James Brown
Comparison fields: 5 of 138
  • Statistics and Probability 126
  • Developmental Neuroscience 49
  • Epidemiology 209
  • Pediatrics, Perinatology and Child Health 94
  • Gender Studies 52
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Citations per field
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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-authors

The 25 scholars most cited alongside James Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Brown Line = papers co-authored together James Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200691
2 200264
3 199251
4 200845
5 199943
6 200838
7 201236
8 200934
9 200533
10
District-level Estimates of Institutional Births in Ghana: Application of Small Area Estimation Technique Using Census and DHS Data
201028
11 200827
12 201825
13 200624
14 200724
15 199722
16 201121
17
Nurses' perceptions of their relationships with parents.
198921
18 201120
19 201818
20 200917

About James Brown

James Brown is a scholar working on Statistics and Probability, Epidemiology, Sociology and Political Science, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 81 papers that have together received 974 indexed citations. Recurring topics across this work include Census and Population Estimation (18 papers), Global Maternal and Child Health (10 papers), Data-Driven Disease Surveillance (10 papers), demographic modeling and climate adaptation (8 papers), Demographic Trends and Gender Preferences (7 papers), Insurance, Mortality, Demography, Risk Management (5 papers), HIV, Drug Use, Sexual Risk (3 papers) and Sex work and related issues (3 papers). The work is most often cited by research in Statistics and Probability (126 citations), Developmental Neuroscience (49 citations), Epidemiology (209 citations), Pediatrics, Perinatology and Child Health (94 citations) and Gender Studies (52 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, Ian Diamond, Meijing Wang, Daniel R. Meldrum, Fiifi Amoako Johnson, David J. Hunter, David J. Carter and Peter Smith. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of Biosocial Science, British Journal of Ophthalmology, European Journal of Cardio-Thoracic Surgery and Philosophy and Rhetoric.

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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