William M. Fonta

48 papers receiving 818 citations

Peers

William M. Fonta
Comparison fields: 5 of 97
  • Economics and Econometrics 277
  • Sociology and Political Science 174
  • Ecology, Evolution, Behavior and Systematics 168
  • Soil Science 144
  • Global and Planetary Change 132
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Countries citing papers authored by William M. Fonta

Since Specialization
Citations

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

Fields of papers citing papers by William M. Fonta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Fonta. 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 William M. Fonta. The network helps show where William M. Fonta may publish in the future.

Co-authorship network of co-authors of William M. Fonta

This figure shows the co-authorship network connecting the top 25 collaborators of William M. Fonta. A scholar is included among the top collaborators of William M. Fonta 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 William M. Fonta. William M. Fonta 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 16
2 41
3 45
4 8
5 35
6 8
7 21
8 1
9 29
10
Microeconomic determinants of migrant remittances to Nigerian households
6
11
Evaluating the Technical Efficiency of Hospitals in Southeastern Nigeria
11
12
International Remittance Inflows and Household Welfare: Empirical Evidence from Nigeria
7
13
A distributional analysis of out-of-pocket healthcare financing in Nigeria using a new decomposable Gini index
2
14
Estimating the Willingness to Pay for Community-Based Health Insurance Schemes in Nigeria: A Random Valuation Framework
3
15 40
16
A Re-Examination of Redistributive Effects of Direct Healthcare Financing Under Alternative Decompositional Frameworks
2
17 2
18 8
19
Simple Sequential Procedure for Modeling of Item Non-Response in Econometric Analysis: Application to CV Survey Data.
2
20 11

About William M. Fonta

William M. Fonta is a scholar working on Safety Research, Finance and Economics and Econometrics, having authored 49 papers that have together received 864 indexed citations. Recurring topics across this work include Global Health Care Issues (13 papers), Economic and Environmental Valuation (9 papers) and Healthcare Systems and Reforms (8 papers). The work is most often cited by research in Soil Science (144 citations), General Agricultural and Biological Sciences (102 citations) and Economics and Econometrics (277 citations). William M. Fonta has collaborated with scholars based in Nigeria, Burkina Faso and South Africa. Frequent co-authors include Hyacinth E. Ichoku, Elias T. Ayuk, John E. Ataguba, Safiétou Sanfo, Abbi M. Kedir, Issa Ouédraogo, Jane Kabubo‐Mariara, Djiby Thiam, Tobias Wünscher and Jérémy Bouyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Public Health and Sustainability.

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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