Daniel G. Datiko

2.4k citations
60 papers · 1.7k · h-index 23

Impact in

Papers in

Daniel G. Datiko

58 papers receiving 1.7k citations

Peers

Daniel G. Datiko
Comparison fields: 5 of 74
  • Infectious Diseases 1.1k
  • Emergency Medical Services 135
  • Pediatrics, Perinatology and Child Health 196
  • General Health Professions 185
  • Finance 89
Replace Sam Wilson Beckham with:
Sam Wilson Beckham United States
Olivia Tulloch United Kingdom
Rose Zulliger United States
Ireen Namakhoma United Kingdom
Christiane M. Horwood South Africa
Mit P Philips Belgium
Federica Secci United States
Lilian Dudley South Africa
John C Chalker United States
René English South Africa
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Citations per field
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Citations per year

Countries citing papers authored by Daniel G. Datiko

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Datiko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Datiko. 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 Daniel G. Datiko. The network helps show where Daniel G. Datiko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013148
2 2009137
3 2015110
4 201889
5 201885
6 202075
7 201063
8 201163
9 201560
10 200859
11 201454
12 201552
13 201752
14 201951
15 201546
16 201546
17
Ten-year experiences of the tuberculosis control programme in the southern region of Ethiopia.
200637
18 201536
19 202036
20 201531

About Daniel G. Datiko

Daniel G. Datiko is a scholar working on Infectious Diseases, Pediatrics, Perinatology and Child Health, Emergency Medical Services, Finance and General Health Professions, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (47 papers), Global Maternal and Child Health (6 papers), ICT in Developing Communities (3 papers), Healthcare Systems and Reforms (3 papers), Global Health Workforce Issues (3 papers), Mobile Health and mHealth Applications (3 papers), HIV/AIDS Research and Interventions (2 papers) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Emergency Medical Services (135 citations), Pediatrics, Perinatology and Child Health (196 citations), General Health Professions (185 citations) and Finance (89 citations). Daniel G. Datiko has collaborated with scholars based in United Kingdom, Ethiopia and United States. Frequent co-authors include Bernt Lindtjørn, Mesay Hailu Dangisso, Sally Theobald, Mohammed Ahmed Yassin, Degu Jerene, Pedro Guillermo Suarez, Olivia Tulloch, Aschenaki Zerihun Kea, Maryse Catelijne Kok and Luís E. Cuevas. Their work appears in journals such as PLoS ONE, BMC Public Health, The International Journal of Tuberculosis and Lung Disease, Public Health Action and Journal of Public Health.

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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