K Prakashini

617 total citations
63 papers, 363 citations indexed

About

K Prakashini is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K Prakashini has authored 63 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 21 papers in Surgery and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K Prakashini's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Head and Neck Cancer Studies (6 papers). K Prakashini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Head and Neck Cancer Studies (6 papers). K Prakashini collaborates with scholars based in India, United States and Malaysia. K Prakashini's co-authors include Rajagopal Kadavigere, Surabhi Bajpai, Ankur Arora, Mohammad Zuber, B. Satish Shenoy, Brijesh Sathian, S. Kiranmai, Raghuvir Pai, Sanowar Khan and Raviraja V Acharya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMC Cancer.

In The Last Decade

K Prakashini

55 papers receiving 352 citations

Peers

K Prakashini
Comparison fields: 5 of 98
  • Surgery 124
  • Pulmonary and Respiratory Medicine 98
  • Radiology, Nuclear Medicine and Imaging 68
  • Infectious Diseases 52
  • Neurology 49
Replace Mehmet Öztürk with:
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Wende N. Gibbs United States
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Paola Crivelli Italy
Shvan H. Mohammed Iraq
Sonay Aydın Türkiye
Josée Sarrazin Canada
Suman Kochhar India
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Citations per field, relative to K Prakashini
K Prakashini · 1×
Citations per year, relative to K Prakashini
K Prakashini · 1×

Countries citing papers authored by K Prakashini

Since Specialization
Citations

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

Fields of papers citing papers by K Prakashini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Prakashini

This figure shows the co-authorship network connecting the top 25 collaborators of K Prakashini. A scholar is included among the top collaborators of K Prakashini 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 K Prakashini. K Prakashini 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 1
2 0
3 1
4 1
5 2
6 1
7 1
8 1
9 2
10 5
11 2
12
Effect of Newtonian and non-Newtonian flow in subject specific carotid artery
3
13 22
14 7
15
Haemodynamics study in subject-specific abdominal aorta with renal bifurcation using CFD - A case study
5
16 12
17
Estimation of Range of Hounsfield Unit on CT for Different Grades of Fatty Infiltration of Liver Categorized Using Ultrasound
0
18 1
19 44
20 2

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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2026