Sam Heard

24 papers receiving 580 citations

Peers

Sam Heard
Comparison fields: 5 of 81
  • Health Information Management 145
  • Family Practice 37
  • Medical Terminology 5
  • Issues, ethics and legal aspects 18
  • General Health Professions 131
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Countries citing papers authored by Sam Heard

Since Specialization
Citations

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

Fields of papers citing papers by Sam Heard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000217
2 200669
3
The Relationship between CEN 13606, HL7, and OpenEHR
200653
4 200549
5 200944
6
An ontology-based model of clinical information.
200739
7 200629
8
Towards automatically generating graphical user interfaces from openEHR archetypes.
200623
9
EHR query language (EQL)--a query language for archetype-based health records.
200723
10 200215
11
Linking guidelines to Electronic Health Record design for improved chronic disease management.
200315
12 198713
13
HL7 EHR System Functional Model Draft Standard for Trial Use
200410
14
Archetypes in Electronic Health Records: Making the Case and Showing the Path for Domain Knowledge Governance
20057
15
General practice education in Australia. Current issues.
20046
16 20095
17 20105
18
Towards a Repository for Managing Archetypes for Electronic Health Records
20064
19
Importing Clinical Data into Electronic Health Records - Lessons Learnt from the First Australian GEHR Trials
20023
20
The openEHR international Foundation and open-source clinical record software repository
20012

About Sam Heard

Sam Heard is a scholar working on Health Information Management, Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health and Management Science and Operations Research, having authored 26 papers that have together received 637 indexed citations. Recurring topics across this work include Electronic Health Records Systems (12 papers), Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (6 papers), Data Quality and Management (3 papers), Ethics in Clinical Research (2 papers), Innovations in Medical Education (2 papers), Primary Care and Health Outcomes (1 paper) and Empathy and Medical Education (1 paper). The work is most often cited by research in Health Information Management (145 citations), Family Practice (37 citations), Medical Terminology (5 citations), Issues, ethics and legal aspects (18 citations) and General Health Professions (131 citations). Sam Heard has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Thomas Beale, Sebastian Garde, Lesley Southgate, Kuldip Singh, David Blackmore, John Spencer, Peter McCrorie, Tarun Sen Gupta, Albert J.J.A. Scherpbier and Evelyn Hovenga. Their work appears in journals such as International Journal of Medical Informatics, BMC Medical Informatics and Decision Making, Medical Education, The Lancet and ANZ Journal of 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.

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