Jim Basilakis

52 papers receiving 943 citations

Peers

Jim Basilakis
Comparison fields: 5 of 98
  • Health Information Management 121
  • Issues, ethics and legal aspects 29
  • Cardiology and Cardiovascular Medicine 218
  • Physical Therapy, Sports Therapy and Rehabilitation 34
  • Health Informatics 10
Replace Ole Hejlesen with:
Ole Hejlesen Denmark
Birthe Dinesen Denmark
Sooyoung Yoo South Korea
Farhaan Mirza New Zealand
Vassilis Kilintzis Greece
Ove Wigertz Sweden
Ilkka Winblad Finland
Peter Kästner Austria
Mauricio Villarroel United Kingdom
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Jim Basilakis relative to Ole Hejlesen Denmark Ole Hejlesen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jim Basilakis

Since Specialization
Citations

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

Fields of papers citing papers by Jim Basilakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003173
2 201499
3 200599
4 201475
5 201270
6 201049
7 200848
8 201740
9 201633
10 201326
11 201426
12 201420
13 200719
14 201517
15
Home telecare study for patients with chronic lung disease in the Sydney West Area Health Service.
201014
16 201013
17 200213
18 201011
19 201011
20 201310

About Jim Basilakis

Jim Basilakis is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine, General Health Professions and Health Information Management, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Non-Invasive Vital Sign Monitoring (7 papers), Electronic Health Records Systems (6 papers), Telemedicine and Telehealth Implementation (6 papers), Mobile Health and mHealth Applications (5 papers), Hospital Admissions and Outcomes (5 papers), ECG Monitoring and Analysis (5 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Health Information Management (121 citations), Issues, ethics and legal aspects (29 citations), Cardiology and Cardiovascular Medicine (218 citations), Physical Therapy, Sports Therapy and Rehabilitation (34 citations) and Health Informatics (10 citations). Jim Basilakis has collaborated with scholars based in Australia, Malaysia and Estonia. Frequent co-authors include Branko G. Celler, Nigel H. Lovell, Stephen J. Redmond, M. Mathie, Linda Dawson, Maree Johnson, Hanna Suominen, Paula Sanchez, Mas Sahidayana Mohktar and Yang Xie. Their work appears in journals such as Physiological Measurement, Journal of the American Medical Informatics Association, Artificial Intelligence in Medicine, International Nursing Review and IEEE Transactions on Emerging Topics in Computing.

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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