Deepak Rai

528 citations
46 papers · 339 · h-index 9

Impact in

Papers in

Deepak Rai

40 papers receiving 322 citations

Peers

Deepak Rai
Comparison fields: 5 of 93
  • Health Information Management 22
  • Computer Vision and Pattern Recognition 85
  • Cardiology and Cardiovascular Medicine 34
  • Biomedical Engineering 68
  • Media Technology 14
Replace Mostafa E. A. Ibrahim with:
Mostafa E. A. Ibrahim Egypt
Mohammed Amine Chikh Algeria
Xuebo Liu China
Shir Li Wang Malaysia
Shilin Zhu China
Yunendah Nur Fuadah Indonesia
Majdi Khalid Saudi Arabia
Debapriya Hazra South Korea
Hamdi A. Mahmoud Egypt
Krishna Prakash India
Deepak Rai relative to Mostafa E. A. Ibrahim Egypt Mostafa E. A. Ibrahim's profile →
Citations per field
00.5×
Mostafa E. A. Ibrahim · 1×
Citations per year

Countries citing papers authored by Deepak Rai

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Rai, 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 Deepak Rai Line = papers co-authored together Deepak Rai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 202154
3 200543
4 201331
5 201530
6 202214
7 20238
8 20198
9 20208
10 20237
11 20186
12 20236
13 20226
14 20135
15 20205
16 20134
17
Regression Test Case Optimization Using Honey Bee Mating Optimization Algorithm with Fuzzy Rule Base
20144
18 20233
19 20193
20 20243

About Deepak Rai

Deepak Rai is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Molecular Biology, Artificial Intelligence and Pharmacology, having authored 46 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Algorithms and Data Compression (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Phonocardiography and Auscultation Techniques (3 papers), Biological and pharmacological studies of plants (3 papers), Advanced Vision and Imaging (3 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Health Information Management (22 citations), Computer Vision and Pattern Recognition (85 citations), Cardiology and Cardiovascular Medicine (34 citations), Biomedical Engineering (68 citations) and Media Technology (14 citations). Deepak Rai has collaborated with scholars based in India, Nigeria and Pakistan. Frequent co-authors include Shyam Singh Rajput, Hiren Kumar Thakkar, Sushruta Mishra, Hrudaya Kumar Tripathy, José Santamaría, Chintan Bhatt, Ralph Nanan, Anthony Liu, Vimla Band and Qingshen Gao. Their work appears in journals such as Expert Systems with Applications, Computers & Electrical Engineering, IEEE Transactions on Instrumentation and Measurement, Frontiers in Pediatrics and IEEE Transactions on Consumer Electronics.

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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