Pinki Roy

40 papers receiving 726 citations

Peers

Pinki Roy
Comparison fields: 5 of 100
  • Health Informatics 26
  • Artificial Intelligence 412
  • Health Information Management 52
  • Information Systems 190
  • Radiology, Nuclear Medicine and Imaging 192
Replace Muhammad Sheraz Arshad Malik with:
Muhammad Sheraz Arshad Malik Pakistan
Danyi Li China
Souad Larabi-Marie-Sainte Saudi Arabia
Ghufran Ahmad Khan China
Yuhao Zhang China
Amerah Alabrah Saudi Arabia
Syed Atif Moqurrab Pakistan
Baotian Hu China
Syed Muzamil Basha India
Prateek Agrawal India
Pinki Roy relative to Muhammad Sheraz Arshad Malik Pakistan Muhammad Sheraz Arshad Malik's profile →
Citations per field
00.5×10×20×30×43×
Muhammad Sheraz Arshad Malik · 1×
Citations per year

Countries citing papers authored by Pinki Roy

Since Specialization
Citations

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

Fields of papers citing papers by Pinki Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Pinki Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pinki Roy Line = papers co-authored together Pinki Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 202168
3 201863
4 202157
5 201742
6 201739
7 201628
8 202127
9 201627
10 201626
11
A New Table Based Protocol for Data Accessing in Cloud Computing.
201725
12 201723
13 201522
14 201722
15 202221
16 202320
17 202116
18
Automatic Diabetes Prediction Using Tree Based Ensemble Learners
201913
19 202112
20 202012

About Pinki Roy

Pinki Roy is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 756 indexed citations. Recurring topics across this work include Speech and Audio Processing (10 papers), Cloud Data Security Solutions (8 papers), AI in cancer detection (6 papers), Speech Recognition and Synthesis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cryptography and Data Security (5 papers), Music and Audio Processing (5 papers) and Diabetic Foot Ulcer Assessment and Management (4 papers). The work is most often cited by research in Health Informatics (26 citations), Artificial Intelligence (412 citations), Health Information Management (52 citations), Information Systems (190 citations) and Radiology, Nuclear Medicine and Imaging (192 citations). Pinki Roy has collaborated with scholars based in India, South Korea and Lebanon. Frequent co-authors include Suyel Namasudra, Sujit Kumar Das, Arnab Kumar Mishra, Sivaji Bandyopadhyay, Balamurugan Balusamy, Pandi Vijayakumar, Pradip K. Das, Manomita Chakraborty, Dalton Meitei Thounaojam and Biswajit Purkayastha. Their work appears in journals such as International Journal of Speech Technology, International Journal of Imaging Systems and Technology, Journal of Organizational and End User Computing, Arabian Journal for Science and Engineering and Diaspora Studies.

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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