Preethi Subramanian

438 total citations
21 papers, 65 citations indexed

About

Preethi Subramanian is a scholar working on Marketing, Radiology, Nuclear Medicine and Imaging and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Preethi Subramanian has authored 21 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Marketing, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Preethi Subramanian's work include Customer Service Quality and Loyalty (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Stock Market Forecasting Methods (2 papers). Preethi Subramanian is often cited by papers focused on Customer Service Quality and Loyalty (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Stock Market Forecasting Methods (2 papers). Preethi Subramanian collaborates with scholars based in Malaysia, United States and India. Preethi Subramanian's co-authors include Ramesh K. Wali, Hemant K. Roy, Samian Sulaiman, S.B. Chan, Eileen M. O’Reilly, Trung Nghia Vu, Stéphanie Nougaret, Shivangi Vora, Qian Shi and Deborah Schrag and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Preethi Subramanian

14 papers receiving 60 citations

Peers

Preethi Subramanian
Comparison fields: 5 of 51
  • Information Systems 13
  • Computer Vision and Pattern Recognition 12
  • Artificial Intelligence 12
  • Management Science and Operations Research 11
  • Human-Computer Interaction 9
Replace Yong Han with:
Yong Han China
Muhammad Ammar Shafi Malaysia
Zijun Lin United Kingdom
Nadia Bennani France
Debajyoti Datta United States
Shamsuddeen Hassan Muhammad Nigeria
Margaret Chmiel United States
Ewa Andrejczuk Singapore
Ayesha Bajwa Hong Kong
Ilaria Angela Amantea Italy
Yong Han China View profile →
Citations per field, relative to Preethi Subramanian
Preethi Subramanian · 1×
Citations per year, relative to Preethi Subramanian
Preethi Subramanian · 1×

Countries citing papers authored by Preethi Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Preethi Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preethi Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Preethi Subramanian. A scholar is included among the top collaborators of Preethi Subramanian 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 Preethi Subramanian. Preethi Subramanian 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 1
4 1
5 0
6 8
7 5
8 0
9 2
10 0
11 26
12 2
13 2
14 4
15 9
16 0
17
Artificial Intelligence Integration in Cloud-based Real-time Data Quality Assurance for Multi-Institutional Clinical Trials
1
18 0
19 1
20 1

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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