Senga Sembuche

484 citations
9 papers · 247 indexed · 1 hit paper · h-index 3
Topics
Vaccine Coverage and Hesitancy (3 papers)Global Maternal and Child Health (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)

In The Last Decade

Senga Sembuche

7 papers receiving 240 citations

Hit Papers

The first and second waves of the COVID-19 pandemic in Af...2021202620222024202150100150200

Peers

Senga Sembuche
Comparison fields: 5 of 67
  • Infectious Diseases 136
  • Modeling and Simulation 104
  • Economics and Econometrics 47
  • Health 39
  • Clinical Psychology 36
Replace Mohamed Moussif with:
Mohamed Moussif United States
Justin Maeda Ethiopia
Oscar Kallay Belgium
Sojung Yoon South Korea
Jennifer F. Myers United States
ShankarReddy Dudala India
Camila Vantini Capasso Palamim Brazil
Emily McGibbon United States
Matheus Negri Boschiero Brazil
Hiu Tai Chan United States
Senga Sembuche relative to Mohamed Moussif United States Mohamed Moussif's profile →
Citations per field
00.5×1.5×
Mohamed Moussif · 1×
Citations per year

Countries citing papers authored by Senga Sembuche

Since Specialization
Citations

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

Fields of papers citing papers by Senga Sembuche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senga Sembuche

This figure shows the co-authorship network connecting the top 25 collaborators of Senga Sembuche. A scholar is included among the top collaborators of Senga Sembuche 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 Senga Sembuche. Senga Sembuche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5
The first and second waves of the COVID-19 pandemic in Africa: a cross-sectional studybreakdown →
221
6 9
7 11
8 1
9 2

About Senga Sembuche

Senga Sembuche is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 9 papers that have together received 247 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (3 papers), Global Maternal and Child Health (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (104 citations), Infectious Diseases (136 citations) and Health (39 citations). Senga Sembuche has collaborated with scholars based in Ethiopia, Tanzania and United States. Frequent co-authors include Justin Maeda, John N. Nkengasong, Mohamed Moussif, Akhona Tshangela, Natalie Mayet, Ebba Abate, Yenew Kebede, Stephanie J. Salyer, Chikwe Ihekweazu and Julius J. Massaga. Their work appears in journals such as The Lancet, Scientific Reports and BMC 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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