Eelandula Kumaraswamy

445 total citations
24 papers, 246 citations indexed

About

Eelandula Kumaraswamy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Eelandula Kumaraswamy has authored 24 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Eelandula Kumaraswamy's work include AI in cancer detection (5 papers), Intravenous Infusion Technology and Safety (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Eelandula Kumaraswamy is often cited by papers focused on AI in cancer detection (5 papers), Intravenous Infusion Technology and Safety (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Eelandula Kumaraswamy collaborates with scholars based in India. Eelandula Kumaraswamy's co-authors include Kommabatla Mahender, Ch. Rajendra Prasad, Sumit Kumar, Rambabu Vatti, E. C. G. Sudarshan, Srinivas Aluvala, Manoj Sharma, Shallu Sharma, S. Naresh Kumar and Bonthala Prabhanjan Yadav and has published in prestigious journals such as Diagnostics, AIP conference proceedings and IOP Conference Series Materials Science and Engineering.

In The Last Decade

Eelandula Kumaraswamy

17 papers receiving 107 citations

Peers

Eelandula Kumaraswamy
Comparison fields: 5 of 47
  • Biomedical Engineering 109
  • Electrical and Electronic Engineering 99
  • Computer Vision and Pattern Recognition 72
  • Computer Networks and Communications 55
  • Artificial Intelligence 45
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Citations per field, relative to Eelandula Kumaraswamy
Eelandula Kumaraswamy · 1×
Citations per year, relative to Eelandula Kumaraswamy
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Countries citing papers authored by Eelandula Kumaraswamy

Since Specialization
Citations

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

Fields of papers citing papers by Eelandula Kumaraswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eelandula Kumaraswamy

This figure shows the co-authorship network connecting the top 25 collaborators of Eelandula Kumaraswamy. A scholar is included among the top collaborators of Eelandula Kumaraswamy 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 Eelandula Kumaraswamy. Eelandula Kumaraswamy 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
# Work Indexed citations
1 0
2 0
3 0
4 18
5 11
6 11
7 5
8 0
9 8
10 0
11 2
12 1
13 5
14 1
15 7
16 35
17 42
18 3
19 25
20 28

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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