Mat Lowe

14 papers receiving 176 citations

Peers

Mat Lowe
Comparison fields: 5 of 56
  • Pediatrics, Perinatology and Child Health 94
  • Modeling and Simulation 16
  • Safety Research 26
  • Obstetrics and Gynecology 22
  • General Health Professions 65
Replace Chitalu Miriam Chama‐Chiliba with:
Chitalu Miriam Chama‐Chiliba Zambia
Diego Ríos-Zertuche United States
Farrukh Ishaque Saah Ghana
Sergio Meneses-Navarro Mexico
Paola Zúñiga-Brenes United States
Erin B. Palmisano United States
Olufunke Fayehun Nigeria
Amanuel Yoseph Ethiopia
Ourohiré Millogo Burkina Faso
Girma Gilano Ethiopia
Mat Lowe relative to Chitalu Miriam Chama‐Chiliba Zambia Chitalu Miriam Chama‐Chiliba's profile →
Citations per field
00.5×1.5×
Chitalu Miriam Chama‐Chiliba · 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

17 of 17 papers shown
#Work
1 201668
2 201728
3 202026
4 202213
5 201612
6 20229
7 20217
8 20215
9 20204
10 20203
11 20213
12 20212
13 20232
14 20211
15 20250
16 20220
17 20240

About Mat Lowe

Mat Lowe is a scholar working on Infectious Diseases, General Health Professions, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Safety Research, having authored 17 papers that have together received 183 indexed citations. Recurring topics across this work include Global Maternal and Child Health (5 papers), COVID-19 epidemiological studies (4 papers), Viral Infections and Outbreaks Research (4 papers), Poverty, Education, and Child Welfare (4 papers), Adolescent Sexual and Reproductive Health (4 papers), Zoonotic diseases and public health (3 papers), Legal, Health, Environmental and COVID-19 Challenges (3 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (94 citations), Modeling and Simulation (16 citations), Safety Research (26 citations), Obstetrics and Gynecology (22 citations) and General Health Professions (65 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, Shuaibu Saidu Musa, Lucas Amenga–Etego, Olaf Chresten Jensen, Attaullah Ahmadi and Lily Paemka. Their work appears in journals such as African Journal of Reproductive Health, Reproductive Health, Journal of Global Health, BMC Public Health and PLoS ONE.

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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