Guy Martin
- Health Informatics top 0.5%
- Water Science and Technology top 0.5%
- Adsorption and biosorption for pollutant removal 6
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- Water Quality Monitoring and Analysis 11
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal 15
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- Cardiac, Anesthesia and Surgical Outcomes 11
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- Aortic aneurysm repair treatments 8
- Aortic Disease and Treatment Approaches 6
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- Surgical Simulation and Training 8
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- COVID-19 and healthcare impacts 6
Guy Martin
120 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Health Informatics 204
- Water Science and Technology 1.2k
- Industrial and Manufacturing Engineering 458
- Pollution 330
- Process Chemistry and Technology 67
Countries citing papers authored by Guy Martin
This map shows the geographic impact of Guy Martin'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 Guy Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Martin more than expected).
Fields of papers citing papers by Guy Martin
This network shows the impact of papers produced by Guy Martin. 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 Guy Martin. The network helps show where Guy Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guy Martin, 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 | 2 | |
| 2 | 2022 | 19 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 13 | |
| 5 | Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysisbreakdown → | 2021 | 503 |
| 6 | 2021 | 4 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 65 | |
| 12 | 2020 | 49 | |
| 13 | 2020 | 51 | |
| 14 | 2019 | 16 | |
| 15 | 2019 | 10 | |
| 16 | Anti-satellite weapons driving the militarisation of space | 2019 | 2 |
| 17 | 2011 | 4 | |
| 18 | 1998 | 14 | |
| 19 | Préparation et conditionnement des échantillons pour le diagnostic foliaire du palmier à huile et du cocotier | 1975 | 1 |
| 20 | Les mesures de croissance sur jeune palmier à huile | 1967 | 0 |
About Guy Martin
Guy Martin is a scholar working on Health Informatics, Industrial and Manufacturing Engineering, Pollution, Medical Laboratory Technology and Water Science and Technology, having authored 125 papers that have together received 3.6k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (15 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Water Quality Monitoring and Analysis (11 papers), Aortic aneurysm repair treatments (8 papers), Surgical Simulation and Training (8 papers), COVID-19 and healthcare impacts (6 papers), Aortic Disease and Treatment Approaches (6 papers) and Adsorption and biosorption for pollutant removal (6 papers). The work is most often cited by research in Health Informatics (204 citations), Water Science and Technology (1.2k citations), Industrial and Manufacturing Engineering (458 citations), Pollution (330 citations) and Process Chemistry and Technology (67 citations). Guy Martin has collaborated with scholars based in France, United Kingdom and Singapore. Frequent co-authors include G. Blanchard, M. Maunaye, Ara Darzi, Hutan Ashrafian, Dominic King, Ravi Aggarwal, Viknesh Sounderajah, Alan Karthikesalingam, Daniel Shu Wei Ting and James Kinross. Their work appears in journals such as Water Research, Ozone Science and Engineering, Environmental Technology, Water Science & Technology and Journal of Vascular Surgery.
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.