S. Vinitha Sree

1.7k citations
10 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
AI in cancer detection (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)

In The Last Decade

S. Vinitha Sree

10 papers receiving 1.3k citations

Hit Papers

Automated EEG analysis of epilepsy: A review20132026201720212013100200300400500

Peers

S. Vinitha Sree
Comparison fields: 5 of 108
  • Cognitive Neuroscience 593
  • Radiology, Nuclear Medicine and Imaging 389
  • Artificial Intelligence 348
  • Signal Processing 318
  • Cardiology and Cardiovascular Medicine 301
Replace Νικόλαος Γιαννακέας with:
Νικόλαος Γιαννακέας Greece
G. Swapna India
M. Muthu Rama Krishnan India
Lim Choo Min Singapore
Vasileios C. Pezoulas Greece
Chua Kuang Chua Singapore
Parisa Moridian Australia
Navid Ghassemi Iran
Juan Pablo Martí­nez Spain
Kuang Chua Chua Singapore
S. Vinitha Sree relative to Νικόλαος Γιαννακέας Greece Νικόλαος Γιαννακέας's profile →
Citations per field
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Νικόλαος Γιαννακέας · 1×
Citations per year

Countries citing papers authored by S. Vinitha Sree

Since Specialization
Citations

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

Fields of papers citing papers by S. Vinitha Sree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Vinitha Sree. 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 S. Vinitha Sree. The network helps show where S. Vinitha Sree may publish in the future.

Co-authorship network of co-authors of S. Vinitha Sree

This figure shows the co-authorship network connecting the top 25 collaborators of S. Vinitha Sree. A scholar is included among the top collaborators of S. Vinitha Sree 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 S. Vinitha Sree. S. Vinitha Sree 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 68
2 86
3 48
4 69
5 80
6 34
7
Automated EEG analysis of epilepsy: A reviewbreakdown →
593
8 109
9 116
10 104

About S. Vinitha Sree

S. Vinitha Sree is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cognitive Neuroscience (593 citations), Signal Processing (318 citations) and Health Informatics (36 citations). S. Vinitha Sree has collaborated with scholars based in Singapore, United States and Malaysia. Frequent co-authors include U. Rajendra Acharya, G. Swapna, Roshan Joy Martis, Jasjit S. Suri, Jasjit S. Suri, Filippo Molinari, Oliver Faust, R Garberoglio, M. Muthu Rama Krishnan and Joel E.W. Koh. Their work appears in journals such as Applied Soft Computing, Knowledge-Based Systems and Computer Methods and Programs in Biomedicine.

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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