Bernadette Sharp

39 papers receiving 323 citations

Peers

Bernadette Sharp
Comparison fields: 5 of 83
  • Health Information Management 25
  • Health Informatics 5
  • Information Systems and Management 25
  • Management Information Systems 31
  • Artificial Intelligence 104
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Countries citing papers authored by Bernadette Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Bernadette Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016123
2 201031
3 201620
4
Knowledge-based image understanding: A rule-based production system for X-ray segmentation
200213
5 201612
6 201812
7 199911
8
Proceedings of the 6th International Workshop on Natural Language Processing and Cognitive Science
200910
9
Enterprise information systems III
20029
10 20128
11
Tracker: a framework to support reducing rework through decision management
20037
12 20126
13 20176
14
A Holistic Framework for Assisting Decision Makers of Healthcare Facilities to Assess Telemedicine Applications in Saudi Arabia
20156
15 20106
16 20016
17
Knowledge Management Framework for E-Healthcare in Saudi Arabia
20156
18
Neural Networks for X-Ray Image Segmentation.
19995
19 20115
20
Integrated Framework of Knowledge Management and Knowledge Discovery to Support E-health for Saudi Diabetic Patients
20155

About Bernadette Sharp

Bernadette Sharp is a scholar working on Artificial Intelligence, Management Information Systems, Information Systems, Computer Vision and Pattern Recognition and Health Information Management, having authored 47 papers that have together received 355 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Software Engineering Techniques and Practices (5 papers), Business Process Modeling and Analysis (4 papers), Software Engineering Research (4 papers), Natural Language Processing Techniques (3 papers), Artificial Intelligence in Healthcare (3 papers), Multi-Agent Systems and Negotiation (3 papers) and Outsourcing and Supply Chain Management (3 papers). The work is most often cited by research in Health Information Management (25 citations), Health Informatics (5 citations), Information Systems and Management (25 citations), Management Information Systems (31 citations) and Artificial Intelligence (104 citations). Bernadette Sharp has collaborated with scholars based in United Kingdom, Thailand and Saudi Arabia. Frequent co-authors include Anthony Atkins, Abdulellah A. Alaboudi, Joaquim Filipe, Saleh Naif Almuayqil, Clare Stanier, Nopasit Chakpitak, Claude C. Chibelushi, Michael Zock, Alan Dix and Huma Shah. Their work appears in journals such as Expert Systems with Applications, Phlebology The Journal of Venous Disease, International Journal of Speech Technology, Journal of Infection and Public Health and International Journal of Innovation and Learning.

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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