Peter Summons

501 citations
35 papers · 354 indexed · h-index 11
Topics
Lung Cancer Diagnosis and Treatment (6 papers)COVID-19 diagnosis using AI (6 papers)Health, Medicine and Society (4 papers)

In The Last Decade

Peter Summons

30 papers receiving 328 citations

Peers

Peter Summons
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 114
  • Artificial Intelligence 89
  • Pulmonary and Respiratory Medicine 65
  • Health Informatics 46
  • Computer Vision and Pattern Recognition 44
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Citations per field
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Citations per year

Countries citing papers authored by Peter Summons

Since Specialization
Citations

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

Fields of papers citing papers by Peter Summons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Summons

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Summons. A scholar is included among the top collaborators of Peter Summons based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Summons. Peter Summons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 38
2 38
3 1
4 5
5 1
6 64
7 47
8 4
9
An Analogical Model to Design Time in Clinical Objects
1
10
Development of a computer-generated digital patient for teaching and assessment in pharmacy: final report
1
11 5
12 6
13 11
14
A review of current online payment systems related to security and trust solutions
2
15
Experimental study with metrics indicating the interpretation of clinical guidelines
0
16
Modelling temporal aspects of clinical objects
0
17
An object oriented time model of a decision support system for intoxication diagnoses
3
18
Decision support for fetal gestation age estimation
1
19
Causal reasoning in a medical knowledge based system
2
20 2

About Peter Summons

Peter Summons is a scholar working on Anesthesiology and Pain Medicine, Software and Critical Care and Intensive Care Medicine, having authored 35 papers that have together received 354 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), COVID-19 diagnosis using AI (6 papers) and Health, Medicine and Society (4 papers). The work is most often cited by research in Health Informatics (46 citations), Health Information Management (27 citations) and Radiology, Nuclear Medicine and Imaging (114 citations). Peter Summons has collaborated with scholars based in Australia, Norway and South Korea. Frequent co-authors include Suhuai Luo, Dadong Wang, Kerry Inder, Victoria Pitt, Ibrahim A. Hameed, Kamran Shaukat, Isabel Higgins, Mi‐Ra Park, Fatma S. Alrayes and Helen Bellchambers. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Environmental Research and Public Health.

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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