Gihan Samarasinghe

595 citations
15 papers · 381 · h-index 8

Impact in

Papers in

Gihan Samarasinghe

15 papers receiving 377 citations

Peers

Gihan Samarasinghe
Comparison fields: 5 of 136
  • Ophthalmology 53
  • Radiology, Nuclear Medicine and Imaging 123
  • Health Informatics 6
  • Ecological Modeling 16
  • Neurology 29
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M. Victoria Ibáñez Spain
Concepción Alonso-Rodríguez Spain
Pedro Guimarães Portugal
Manish Goyal India
Jakob Unger Germany
Yunpeng Liu China
Ryohei Nakayama Japan
Sarah L. Hale United States
Karolina Nurzyǹska Poland
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Citations per field
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Citations per year

Countries citing papers authored by Gihan Samarasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Gihan Samarasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018176
2 202157
3 202036
4 202126
5 202120
6 202219
7 202015
8 201912
9 20215
10 20195
11 20203
12 20143
13 20192
14 20161
15 20201

About Gihan Samarasinghe

Gihan Samarasinghe is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 381 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (3 papers), Cardiac Imaging and Diagnostics (3 papers), Coronary Interventions and Diagnostics (3 papers), Glaucoma and retinal disorders (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Neural Network Applications (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Ophthalmology (53 citations), Radiology, Nuclear Medicine and Imaging (123 citations), Health Informatics (6 citations), Ecological Modeling (16 citations) and Neurology (29 citations). Gihan Samarasinghe has collaborated with scholars based in Australia, Sweden and South Africa. Frequent co-authors include Malgorzata Lagisz, Shinichi Nakagawa, Arcot Sowmya, Martin J. Westgate, Rose E. O’Dea, Neal Haddaway, Daniel W. A. Noble, Lois Holloway, Michael Jameson and Robyn H. Guymer. Their work appears in journals such as Translational Vision Science & Technology, Magnetic Resonance Imaging, Solar Energy, Trends in Ecology & Evolution and Heart Lung and Circulation.

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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