Samuel Iddi
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Bayesian Inference 14
- Statistical Distribution Estimation and Applications 5
- Statistical Methods and Inference 4
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- Child Nutrition and Water Access 8
- Co-authors
- Geert Molenberghs (11 shared papers)Michael Donohue (5 shared papers)Damazo T. Kadengye (13 shared papers)Wesley K. Thompson (4 shared papers)Marylene Wamukoya (3 shared papers)Geert Verbeke (4 shared papers)Michael S. Rafii (3 shared papers)Paul Aisen (3 shared papers)
In The Last Decade
Samuel Iddi
58 papers receiving 617 citations
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 54
- Statistics and Probability 83
- Psychiatry and Mental health 79
- Health 35
- Clinical Psychology 77
Countries citing papers authored by Samuel Iddi
This map shows the geographic impact of Samuel Iddi'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 Samuel Iddi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Iddi more than expected).
Fields of papers citing papers by Samuel Iddi
This network shows the impact of papers produced by Samuel Iddi. 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 Samuel Iddi. The network helps show where Samuel Iddi may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Iddi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 69 | |
| 2 | 2017 | 52 | |
| 3 | 2020 | 50 | |
| 4 | 2019 | 41 | |
| 5 | 2016 | 38 | |
| 6 | 2022 | 32 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2011 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2011 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2012 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2021 | 9 |
About Samuel Iddi
Samuel Iddi is a scholar working on Statistics and Probability, Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Economics and Econometrics and Urban Studies, having authored 63 papers that have together received 636 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (14 papers), Child Nutrition and Water Access (8 papers), Global Maternal and Child Health (8 papers), Urban and Rural Development Challenges (6 papers), Statistical Distribution Estimation and Applications (5 papers), COVID-19 epidemiological studies (4 papers), Statistical Methods and Inference (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Modeling and Simulation (54 citations), Statistics and Probability (83 citations), Psychiatry and Mental health (79 citations), Health (35 citations) and Clinical Psychology (77 citations). Samuel Iddi has collaborated with scholars based in Ghana, Kenya and Belgium. Frequent co-authors include Geert Molenberghs, Michael Donohue, Damazo T. Kadengye, Wesley K. Thompson, Marylene Wamukoya, Geert Verbeke, Michael S. Rafii, Paul Aisen, Dan Li and Ulrich Hegerl. Their work appears in journals such as PLoS ONE, BMC Public Health, Journal of Urban Health, Global Health Action and Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring.
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.