Peter Weller

846 citations
29 papers · 550 indexed · h-index 11

Impact in

Papers in

    • Hemodynamic Monitoring and Therapy 3
    • Orthopedic Surgery and Rehabilitation 3
    • Machine Learning in Healthcare 4
    • Neural Networks and Applications 2

Peter Weller

26 papers receiving 513 citations

Peers

Peter Weller
Comparison fields: 5 of 124
  • Health Information Management 72
  • Health Informatics 18
  • Artificial Intelligence 163
  • Radiology, Nuclear Medicine and Imaging 86
  • Information Systems 72
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Álvaro Alesanco Spain
Daniel Fabbri United States
Taehoon Ko South Korea
Bruno Stiglic Slovenia
Giuseppe Fico Spain
Ashwin Belle United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Weller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Weller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996171
2 201497
3 201437
4 201535
5 200933
6 201824
7 201423
8
Visualization of binary string convergence by Sammon mapping
199620
9 199713
10 201113
11 200712
12 201410
13 20009
14 20159
15
An Ontology-Driven Information Model for Interoperability of Personal and Electronic Health Records
20148
16 20007
17 20096
18 20095
19 19954
20 20103

About Peter Weller

Peter Weller is a scholar working on Surgery, Artificial Intelligence, Pulmonary and Respiratory Medicine, Molecular Biology and Health Information Management, having authored 29 papers that have together received 550 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Healthcare (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Respiratory Support and Mechanisms (3 papers), Orthopedic Surgery and Rehabilitation (3 papers), Peripheral Nerve Disorders (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Health Information Management (72 citations), Health Informatics (18 citations), Artificial Intelligence (163 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Information Systems (72 citations). Peter Weller has collaborated with scholars based in United Kingdom, Greece and Finland. Frequent co-authors include Richard Dybowski, Vanya Gant, Gawesh Jawaheer, Patty Kostkova, Dympna O’Sullivan, Paolo Fraccaro, Jeremy D.P. Bland, E.R. Carson, Trevor Collins and Angela Bowman. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Muscle & Nerve, BMJ Open, Personal and Ubiquitous Computing and Journal of Innovation in Health Informatics.

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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