Bernard Baffour

744 citations
48 papers · 469 · h-index 13

Impact in

  • Health top 10%
    • Health disparities and outcomes
    • Indigenous Health, Education, and Rights
  • Demography top 10%
    • Migration, Aging, and Tourism Studies

Papers in

Bernard Baffour

48 papers receiving 451 citations

Peers

Bernard Baffour
Comparison fields: 5 of 105
  • Health 75
  • Demography 65
  • Transportation 27
  • General Health Professions 99
  • Statistics and Probability 30
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Chris Charlton United Kingdom
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Jürgen H. P. Hoffmeyer-Zlotnik Germany
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Citations per field
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Citations per year

Countries citing papers authored by Bernard Baffour

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Baffour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bernard Baffour, 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 Bernard Baffour Line = papers co-authored together Bernard Baffour links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201348
2 201640
3 201836
4 202128
5 201827
6 201925
7 202223
8 201718
9 202217
10 201316
11 202216
12 201715
13 201514
14 201912
15 201610
16 20189
17 20139
18 20187
19 20167
20 20207

About Bernard Baffour

Bernard Baffour is a scholar working on General Health Professions, Sociology and Political Science, Health, Management Science and Operations Research and Demography, having authored 48 papers that have together received 469 indexed citations. Recurring topics across this work include Health disparities and outcomes (11 papers), Food Security and Health in Diverse Populations (10 papers), Urban, Neighborhood, and Segregation Studies (8 papers), Census and Population Estimation (7 papers), demographic modeling and climate adaptation (6 papers), Child Nutrition and Water Access (6 papers), Survey Methodology and Nonresponse (6 papers) and Data-Driven Disease Surveillance (5 papers). The work is most often cited by research in Health (75 citations), Demography (65 citations), Transportation (27 citations), General Health Professions (99 citations) and Statistics and Probability (30 citations). Bernard Baffour has collaborated with scholars based in Australia, United Kingdom and India. Frequent co-authors include James Raymer, P. Valente, Thomas King, Francisco Perales, Alice Richardson, Robyn M. Gillies, Sumonkanti Das, Annemaree Carroll, Stephen Houghton and Lisa Wood. Their work appears in journals such as International Statistical Review, Demographic Research, Australian and New Zealand Journal of Public Health, Human Reproduction and Scientific Reports.

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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