Laura Moss
Impact in
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances
- Neurosurgical Procedures and Complications
Papers in
-
- Machine Learning in Healthcare 7
- Semantic Web and Ontologies 7
-
- Traumatic Brain Injury and Neurovascular Disturbances 8
- Co-authors
- Ian Piper (18 shared papers)Giuseppe Citerio (5 shared papers)Iain Chambers (5 shared papers)Per Enblad (6 shared papers)Bart Feyen (4 shared papers)Geert Meyfroidt (4 shared papers)Rob Donald (5 shared papers)Greet Van den Berghe (4 shared papers)
- Journals
- Artificial Intelligence in Medicine (2 papers)Critical Care Medicine (2 papers)Medical Physics (1 paper)Injury (1 paper)Journal of Neurotrauma (1 paper)
- Partner nations
- United KingdomSwedenGermany
In The Last Decade
Laura Moss
36 papers receiving 383 citations
Peers
Comparison fields: 5 of 60
- Neurology 238
- Health Informatics 9
- Emergency Medicine 51
- Epidemiology 65
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Laura Moss
This map shows the geographic impact of Laura Moss'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 Laura Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Moss more than expected).
Fields of papers citing papers by Laura Moss
This network shows the impact of papers produced by Laura Moss. 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 Laura Moss. The network helps show where Laura Moss may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Moss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 186 | |
| 2 | 2017 | 52 | |
| 3 | 2018 | 20 | |
| 4 | 2013 | 15 | |
| 5 | 2022 | 15 | |
| 6 | 2018 | 13 | |
| 7 | 2009 | 11 | |
| 8 | 2012 | 10 | |
| 9 | 2015 | 9 | |
| 10 | 2010 | 7 | |
| 11 | 2012 | 7 | |
| 12 | 2012 | 4 | |
| 13 | 2008 | 4 | |
| 14 | 2017 | 4 | |
| 15 | Enrichment of {OWL} Ontologies: A Method for Defining Axioms from Labels | 2012 | 4 |
| 16 | 2018 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2016 | 2 |
About Laura Moss
Laura Moss is a scholar working on Artificial Intelligence, Neurology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 393 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Machine Learning in Healthcare (7 papers), Semantic Web and Ontologies (7 papers), Biomedical Text Mining and Ontologies (6 papers), Healthcare Technology and Patient Monitoring (4 papers), Time Series Analysis and Forecasting (4 papers), Hemodynamic Monitoring and Therapy (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Neurology (238 citations), Health Informatics (9 citations), Emergency Medicine (51 citations), Epidemiology (65 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Laura Moss has collaborated with scholars based in United Kingdom, Sweden and Germany. Frequent co-authors include Ian Piper, Giuseppe Citerio, Iain Chambers, Per Enblad, Bart Feyen, Geert Meyfroidt, Rob Donald, Greet Van den Berghe, Philippe G. Jorens and Bart Depreitere. Their work appears in journals such as Artificial Intelligence in Medicine, Critical Care Medicine, Medical Physics, Injury and Journal of Neurotrauma.
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.