Andrew Ramsay
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 46
- Epidemiology top 1%
- Mycobacterium research and diagnosis 27
- Pneumonia and Respiratory Infections 17
- Pneumocystis jirovecii pneumonia detection and treatment 9
- Human-Computer Interaction top 2%
- Surgery top 5%
- Diagnosis and treatment of tuberculosis 12
- Clinical Biochemistry top 5%
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- Speech and dialogue systems 6
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- EEG and Brain-Computer Interfaces 6
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- Malaria Research and Control 6
- Co-authors
- Madhukar PaiKaren R SteingartPhilip C. HopewellJane CunninghamRosanna Ŵ. PeelingXiang‐Sheng ChenDebrah I. BoerasKevin Land
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Andrew Ramsay
94 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Infectious Diseases 2.7k
- Epidemiology 2.2k
- Human-Computer Interaction 137
- Surgery 1.1k
- Clinical Biochemistry 112
Countries citing papers authored by Andrew Ramsay
This map shows the geographic impact of Andrew Ramsay'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 Andrew Ramsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Ramsay more than expected).
Fields of papers citing papers by Andrew Ramsay
This network shows the impact of papers produced by Andrew Ramsay. 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 Andrew Ramsay. The network helps show where Andrew Ramsay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Ramsay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 4 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 26 | |
| 6 | 2014 | 15 | |
| 7 | 2014 | 29 | |
| 8 | 2014 | 5 | |
| 9 | 2014 | 3 | |
| 10 | Serological tests for the diagnosis of active tuberculosis: relevance for India. | 2012 | 38 |
| 11 | 2011 | 22 | |
| 12 | 2011 | 10 | |
| 13 | 2010 | 80 | |
| 14 | 2009 | 64 | |
| 15 | 2008 | 40 | |
| 16 | 2008 | 67 | |
| 17 | A Model-based Approach to Describing and Reasoning About the Physicality of Interaction | 2007 | 2 |
| 18 | 2005 | 18 | |
| 19 | 2001 | 44 | |
| 20 | 1996 | 1 |
About Andrew Ramsay
Andrew Ramsay is a scholar working on Infectious Diseases, Human-Computer Interaction, Epidemiology, Parasitology and Developmental Biology, having authored 95 papers that have together received 4.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (46 papers), Mycobacterium research and diagnosis (27 papers), Pneumonia and Respiratory Infections (17 papers), Diagnosis and treatment of tuberculosis (12 papers), Pneumocystis jirovecii pneumonia detection and treatment (9 papers), Speech and dialogue systems (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Malaria Research and Control (6 papers). The work is most often cited by research in Infectious Diseases (2.7k citations), Epidemiology (2.2k citations), Human-Computer Interaction (137 citations), Surgery (1.1k citations) and Clinical Biochemistry (112 citations). Andrew Ramsay has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Madhukar Pai, Karen R Steingart, Philip C. Hopewell, Jane Cunningham, Rosanna Ŵ. Peeling, Xiang‐Sheng Chen, Debrah I. Boeras, Kevin Land, Mark D. Perkins and R Urbanczik. Their work appears in journals such as PLoS ONE, Public Health Action, PLoS Medicine, The International Journal of Tuberculosis and Lung Disease and The Lancet Infectious Diseases.
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.