Clive Brown

55 papers receiving 1.6k citations

Peers

Clive Brown
Comparison fields: 5 of 160
  • Modeling and Simulation 147
  • Music 58
  • Health 134
  • Speech and Hearing 100
  • Health, Toxicology and Mutagenesis 202
Replace Joanna Stewart with:
Joanna Stewart New Zealand
Paulo Ricardo Martins‐Filho Brazil
Dorit Nitzan Israel
Siew Pang Chan Singapore
Gregory F. Hayden United States
Muhammad Aziz Rahman Australia
Longde Wang China
Bruce Kirenga Uganda
André Karch Germany
Akihito Hagihara Japan
Clive Brown relative to Joanna Stewart New Zealand Joanna Stewart's profile →
Citations per field
00.5×7.7×
Joanna Stewart · 1×
Citations per year

Countries citing papers authored by Clive Brown

Since Specialization
Citations

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

Fields of papers citing papers by Clive Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997160
2 2019136
3 2007129
4 2009124
5 2008103
6 201086
7 200679
8
CDC yellow book 2018 : health information for international travel
201774
9 200362
10 200059
11
Disease surveillance among newly arriving refugees and immigrants--Electronic Disease Notification System, United States, 2009.
201350
12 199949
13 201648
14
Does a multifaceted environmental intervention alter the impact of asthma on inner-city children?
200637
15 202034
16 199933
17 200032
18 202132
19 201030
20 201329

About Clive Brown

Clive Brown is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Modeling and Simulation and Music, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Travel-related health issues (11 papers), COVID-19 epidemiological studies (10 papers), Musicology and Musical Analysis (9 papers), Rabies epidemiology and control (7 papers), Viral Infections and Outbreaks Research (7 papers), Viral Infections and Vectors (6 papers), Asthma and respiratory diseases (5 papers) and Diverse Musicological Studies (5 papers). The work is most often cited by research in Modeling and Simulation (147 citations), Music (58 citations), Health (134 citations), Speech and Hearing (100 citations) and Health, Toxicology and Mutagenesis (202 citations). Clive Brown has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include David M. Mannino, R. Hainsworth, Gary A. Giovino, Abdul G. Dulloo, J-P Montani, Nicole J. Cohen, Lisa D. Rotz, Heesoo Joo, Brian Maskery and Carol Y. Rao. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Journal of Travel Medicine, Emerging infectious diseases, Health Security and Early Music.

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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