Matthew Osborne

2.2k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 8

Matthew Osborne

19 papers receiving 1.4k citations

Hit Papers

Diagnosing COVID-19: The Disease and Tools for Detection1.3k20202026202220244008001.2k

Peers

Matthew Osborne
Comparison fields: 5 of 136
  • Infectious Diseases 1.0k
  • Biomedical Engineering 680
  • General Dentistry 28
  • Radiology, Nuclear Medicine and Imaging 251
  • Health Informatics 14
Replace Buddhisha Udugama with:
Buddhisha Udugama Canada
Pranav Kadhiresan Canada
Ayden Malekjahani Canada
Rose Lee United States
St Patrick Reid United States
H Kozłowski Canada
Zijiao Zou China
Anthony Chin‐Ki Ng Hong Kong
Yong Guo China
Anurup Ganguli United States
Matthew Osborne relative to Buddhisha Udugama Canada Buddhisha Udugama's profile →
Citations per field
00.5×3.3×
Buddhisha Udugama · 1×
Citations per year

Countries citing papers authored by Matthew Osborne

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Osborne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20251
2 20243
3 20241
4 20243
5 20233
6 20233
7 20222
8 20222
9 20216
10 202141
11 202019
12
Diagnosing COVID-19: The Disease and Tools for Detectionbreakdown →
20201262
13 201946
14 20183
15 201711
16 201411
17 201327
18 20107
19 200724

About Matthew Osborne

Matthew Osborne is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Misinformation and Its Impacts (3 papers), Mosquito-borne diseases and control (3 papers), Viral Infections and Vectors (3 papers), Biosensors and Analytical Detection (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers) and Consumer Market Behavior and Pricing (2 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Biomedical Engineering (680 citations) and General Dentistry (28 citations). Matthew Osborne has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Pranav Kadhiresan, Buddhisha Udugama, Ayden Malekjahani, Warren C. W. Chan, Hongmin Chen, Samira Mubareka, Jonathan B. Gubbay, H Kozłowski, Aditya Aryasomayajula and Amid Shakeri.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026