A. Asuntha

413 citations
10 papers · 270 indexed · h-index 4
Topics
Lung Cancer Diagnosis and Treatment (3 papers)Brain Tumor Detection and Classification (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
IndiaSaudi Arabia

In The Last Decade

A. Asuntha

5 papers receiving 248 citations

Peers

A. Asuntha
Comparison fields: 5 of 42
  • Radiology, Nuclear Medicine and Imaging 198
  • Pulmonary and Respiratory Medicine 130
  • Artificial Intelligence 121
  • Neurology 37
  • Health Information Management 22
Replace Dahua Yu with:
Dahua Yu China
Ahmed Shaffie United States
Tehreem Masood Pakistan
Eali Stephen Neal Joshua India
Aaron Wu United States
Grzegorz Chlebus Germany
Ahmed Sharafeldeen United States
Hanan M. Amer Egypt
Paul F. Jäger Germany
Vivek Vaidya India
A. Asuntha relative to Dahua Yu China Dahua Yu's profile →
Citations per field
00.5×3.1×
Dahua Yu · 1×
Citations per year

Countries citing papers authored by A. Asuntha

Since Specialization
Citations

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

Fields of papers citing papers by A. Asuntha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Asuntha

This figure shows the co-authorship network connecting the top 25 collaborators of A. Asuntha. A scholar is included among the top collaborators of A. Asuntha 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 A. Asuntha. A. Asuntha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 19
6 236
7 0
8 1
9 1
10
PSO, Genetic Optimization and SVM Algorithm used for Lung Cancer Detection
10

About A. Asuntha

A. Asuntha is a scholar working on Neurology, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 270 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Brain Tumor Detection and Classification (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (198 citations), Health Information Management (22 citations) and Neurology (37 citations). A. Asuntha has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include S. Valanarasu, H. Algarni, S. AlFaify, Mohd. Shkir, I. Loyola Poul Raj, R. S. Rimal Isaac and Rahul Sinha. Their work appears in journals such as Multimedia Tools and Applications, Journal of Materials Science Materials in Electronics and Signal Image and Video Processing.

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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