Peter Chan

19 papers receiving 513 citations

Peers

Peter Chan
Comparison fields: 5 of 79
  • Anesthesiology and Pain Medicine 63
  • Human-Computer Interaction 48
  • Cancer Research 49
  • Pulmonary and Respiratory Medicine 108
  • Health Informatics 6
Replace Tock Han Lim with:
Tock Han Lim Singapore
Charmaine M. Woods Australia
Leonie Schulte‐Uentrop Germany
Samia Abed‐Maillard Switzerland
Katelyn O. Stepan United States
Chung Kwong Yeung Hong Kong
Kavel Visrodia United States
Daniëlle Robbers‐Visser Netherlands
Klaus Stelter Germany
Tae‐Bin Won South Korea
Peter Chan relative to Tock Han Lim Singapore Tock Han Lim's profile →
Citations per field
00.5×2×4×6×8.2×
Tock Han Lim · 1×
Citations per year

Countries citing papers authored by Peter Chan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020105
2 200695
3 201755
4 201144
5 202143
6 202033
7 202228
8 201123
9 201922
10 201420
11 201614
12 200811
13 20118
14 20207
15 20227
16 20216
17 20213
18 20223
19 19961
20 20240

About Peter Chan

Peter Chan is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Anesthesiology and Pain Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 528 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (5 papers), Infrared Thermography in Medicine (4 papers), Anesthesia and Pain Management (2 papers), Context-Aware Activity Recognition Systems (2 papers), Anesthesia and Sedative Agents (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Video Surveillance and Tracking Methods (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (63 citations), Human-Computer Interaction (48 citations), Cancer Research (49 citations), Pulmonary and Respiratory Medicine (108 citations) and Health Informatics (6 citations). Peter Chan has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Simon Scharf, Christopher Langdale Jackson, Kenneth John Rodgers, John J. McNeil, Ingrid Hopper, William H. Brissette, Clive J. Long, David C. Chen, Nicholas P. Ryan and Stephen B. Fox. Their work appears in journals such as Journal of Clinical Monitoring and Computing, Anaesthesia, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Forensic Sciences and Current Infectious Disease Reports.

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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