Getachew Dagne
- Statistics and Probability top 1%
- Public Health, Environmental and Occupational Health top 10%
- Artificial Intelligence top 10%
- Clinical Psychology top 10%
- General Health Professions top 10%
- Co-authors
- Yangxin HuangC. Hendricks BrownGeorge W. HoweBengt MuthénWakgari DeressaJustice Moses K. AhetoRobert D. GibbonsBooil Jo
- Topics
- Statistical Methods and Bayesian Inference (37 papers)Bayesian Methods and Mixture Models (28 papers)Statistical Distribution Estimation and Applications (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareBiometrics
- Partner nations
- United StatesCanadaEthiopia
In The Last Decade
Getachew Dagne
79 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 298
- Public Health, Environmental and Occupational Health 192
- Artificial Intelligence 183
- Clinical Psychology 150
- General Health Professions 128
Countries citing papers authored by Getachew Dagne
This map shows the geographic impact of Getachew Dagne'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 Getachew Dagne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Getachew Dagne more than expected).
Fields of papers citing papers by Getachew Dagne
This network shows the impact of papers produced by Getachew Dagne. 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 Getachew Dagne. The network helps show where Getachew Dagne may publish in the future.
Co-authorship network of co-authors of Getachew Dagne
This figure shows the co-authorship network connecting the top 25 collaborators of Getachew Dagne. A scholar is included among the top collaborators of Getachew Dagne 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 Getachew Dagne. Getachew Dagne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Prostate Cancer: Social, Economic and Demographic Correlates of Non Use of Supplemental Diets among Black Men in Florida | 0 |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 25 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 16 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 2 |
About Getachew Dagne
Getachew Dagne is a scholar working on Statistics and Probability, Artificial Intelligence and Obstetrics and Gynecology, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (37 papers), Bayesian Methods and Mixture Models (28 papers) and Statistical Distribution Estimation and Applications (17 papers). The work is most often cited by research in Statistics and Probability (298 citations), Health Informatics (13 citations) and Clinical Psychology (150 citations). Getachew Dagne has collaborated with scholars based in United States, Canada and Ethiopia. Frequent co-authors include Yangxin Huang, C. Hendricks Brown, George W. Howe, Bengt Muthén, Wakgari Deressa, Justice Moses K. Aheto, Robert D. Gibbons, Booil Jo, Peter A. Wyman and James Snyder. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Biometrics.
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.