Matilda Aberese-Ako

680 citations
25 papers · 394 indexed · h-index 12
Topics
Global Maternal and Child Health (14 papers)COVID-19 epidemiological studies (6 papers)Malaria Research and Control (6 papers)
Partner nations
GhanaDenmarkNetherlands

In The Last Decade

Matilda Aberese-Ako

24 papers receiving 386 citations

Peers

Matilda Aberese-Ako
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 147
  • Pediatrics, Perinatology and Child Health 111
  • General Health Professions 76
  • Health 61
  • Industrial and Manufacturing Engineering 59
Replace Tonny Ssekamatte with:
Tonny Ssekamatte Uganda
Kenechi Uwakwe Nigeria
Niraj Pandit India
Charles Ssemugabo Uganda
James B. Tidwell United States
Sania Ashraf United States
Holly N. Dentz United States
Mengesha Admassu Ethiopia
Kristof Bostoen United Kingdom
Jenala Chipungu Zambia
Matilda Aberese-Ako relative to Tonny Ssekamatte Uganda Tonny Ssekamatte's profile →
Citations per field
00.5×3.1×
Tonny Ssekamatte · 1×
Citations per year

Countries citing papers authored by Matilda Aberese-Ako

Since Specialization
Citations

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

Fields of papers citing papers by Matilda Aberese-Ako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilda Aberese-Ako. 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 Matilda Aberese-Ako. The network helps show where Matilda Aberese-Ako may publish in the future.

Co-authorship network of co-authors of Matilda Aberese-Ako

This figure shows the co-authorship network connecting the top 25 collaborators of Matilda Aberese-Ako. A scholar is included among the top collaborators of Matilda Aberese-Ako 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 Matilda Aberese-Ako. Matilda Aberese-Ako 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 0
2 2
3 3
4 8
5 10
6 1
7 2
8 13
9 20
10 13
11 12
12 39
13 72
14 16
15 15
16 5
17 36
18 23
19 35
20 32

About Matilda Aberese-Ako

Matilda Aberese-Ako is a scholar working on Modeling and Simulation, Pediatrics, Perinatology and Child Health and Health, having authored 25 papers that have together received 394 indexed citations. Recurring topics across this work include Global Maternal and Child Health (14 papers), COVID-19 epidemiological studies (6 papers) and Malaria Research and Control (6 papers). The work is most often cited by research in Modeling and Simulation (40 citations), Health (61 citations) and Industrial and Manufacturing Engineering (59 citations). Matilda Aberese-Ako has collaborated with scholars based in Ghana, Denmark and Netherlands. Frequent co-authors include Irène Akua Agyepong, Han van Dijk, Martin Amogre Ayanore, John K. Krugu, Margaret Gyapong, Robert A. C. Ruiter, Trudie Gerrits, Harry Tagbor, Pascal Magnussen and Evelyn Ansah. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and 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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