Mat Lowe

15 papers receiving 185 citations

Peers

Mat Lowe
Comparison fields: 5 of 54
  • Pediatrics, Perinatology and Child Health 73
  • Health 15
  • Modeling and Simulation 9
  • Emergency Medical Services 12
  • Obstetrics and Gynecology 13
Replace Nafissatou Dioubaté with:
Nafissatou Dioubaté Guinea
Quinhas Fernandes Mozambique
Diego Ríos-Zertuche United States
Emma Iriarte United States
Erin B. Palmisano United States
Chitalu Miriam Chama‐Chiliba Zambia
Vincent K. Cubaka Rwanda
Paola Zúñiga-Brenes United States
Leonardo Arregocés United Kingdom
Robert Kokou Dowou Ghana
Mat Lowe relative to Nafissatou Dioubaté Guinea Nafissatou Dioubaté's profile →
Citations per field
00.5×10×14×
Nafissatou Dioubaté · 1×
Citations per year

Countries citing papers authored by Mat Lowe

Since Specialization
Citations

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

Fields of papers citing papers by Mat Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201670
2 201728
3 202026
4 202215
5 201614
6 20229
7 20217
8 20215
9 20204
10 20214
11 20213
12 20203
13 20232
14 20211
15 20221
16 20250
17 20240
18 20250

About Mat Lowe

Mat Lowe is a scholar working on Infectious Diseases, General Health Professions, Public Health, Environmental and Occupational Health, Modeling and Simulation and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 192 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (3 papers), COVID-19 epidemiological studies (3 papers), Viral Infections and Outbreaks Research (3 papers), Legal, Health, Environmental and COVID-19 Challenges (3 papers), Adolescent Sexual and Reproductive Health (3 papers), Global Maternal and Child Health (2 papers), Demographic Trends and Gender Preferences (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (73 citations), Health (15 citations), Modeling and Simulation (9 citations), Emergency Medical Services (12 citations) and Obstetrics and Gynecology (13 citations). Mat Lowe has collaborated with scholars based in Nigeria, United Kingdom and Philippines. Frequent co-authors include Duan‐Rung Chen, Song‐Lih Huang, Don Eliseo Lucero‐Prisno, Yusuff Adebayo Adebisi, Aniekan Ekpenyong, Takaaki Ikeda, Lucas Amenga–Etego, Aniefiok John Udoakang, Shuaibu Saidu Musa and M. B. N. Kouwenhoven. Their work appears in journals such as African Journal of Reproductive Health, Reproductive Health, American Journal of Tropical Medicine and Hygiene, PLoS ONE and Journal of Global 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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