Lucy Hederman
Impact in
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- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 11
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- Electronic Health Records Systems 8
- Co-authors
- Carmel M. Martin (2 shared papers)Gráinne Cousins (4 shared papers)Borislav D. Dimitrov (5 shared papers)Tom Fahey (5 shared papers)Johann Issartel (2 shared papers)Liang Xiao (3 shared papers)Owen Conlan (2 shared papers)Kevin Smith (1 shared paper)
- Journals
- Digital Health (2 papers)Journal of Evaluation in Clinical Practice (2 papers)British Journal of Educational Technology (1 paper)Journal of Digital Imaging (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- IrelandUnited KingdomChina
In The Last Decade
Lucy Hederman
31 papers receiving 225 citations
Peers
Comparison fields: 5 of 74
- Health Information Management 48
- Health Informatics 9
- Modeling and Simulation 13
- Medical Laboratory Technology 4
- Artificial Intelligence 61
Countries citing papers authored by Lucy Hederman
This map shows the geographic impact of Lucy Hederman'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 Lucy Hederman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Hederman more than expected).
Fields of papers citing papers by Lucy Hederman
This network shows the impact of papers produced by Lucy Hederman. 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 Lucy Hederman. The network helps show where Lucy Hederman may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucy Hederman, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 35 | |
| 2 | 2011 | 23 | |
| 3 | 2019 | 19 | |
| 4 | 2019 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2016 | 12 | |
| 7 | 2012 | 12 | |
| 8 | 2012 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2003 | 11 | |
| 11 | 2008 | 9 | |
| 12 | 2010 | 8 | |
| 13 | Representing clinical guidelines in UMl: a comparative study. | 2002 | 7 |
| 14 | 2014 | 7 | |
| 15 | 2010 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2008 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2003 | 4 |
About Lucy Hederman
Lucy Hederman is a scholar working on Molecular Biology, Health Information Management, Artificial Intelligence, General Health Professions and Epidemiology, having authored 33 papers that have together received 241 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Electronic Health Records Systems (8 papers), Semantic Web and Ontologies (6 papers), Mobile Health and mHealth Applications (5 papers), Data Quality and Management (4 papers), Data-Driven Disease Surveillance (3 papers), Digital Mental Health Interventions (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Health Information Management (48 citations), Health Informatics (9 citations), Modeling and Simulation (13 citations), Medical Laboratory Technology (4 citations) and Artificial Intelligence (61 citations). Lucy Hederman has collaborated with scholars based in Ireland, United Kingdom and China. Frequent co-authors include Carmel M. Martin, Gráinne Cousins, Borislav D. Dimitrov, Tom Fahey, Johann Issartel, Liang Xiao, Owen Conlan, Kevin Smith, Kris McGlinn and Luca Longo. Their work appears in journals such as Digital Health, Journal of Evaluation in Clinical Practice, British Journal of Educational Technology, Journal of Digital Imaging and Computer Methods and Programs in Biomedicine.
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.