Deepak Parashar

33 papers receiving 284 citations

Peers

Deepak Parashar
Comparison fields: 5 of 69
  • Ophthalmology 128
  • Radiology, Nuclear Medicine and Imaging 168
  • Computer Vision and Pattern Recognition 145
  • Neurology 21
  • Human-Computer Interaction 13
Replace Shishir Maheshwari with:
Shishir Maheshwari India
Jarmila Pavlovičová Slovakia
R Lavanya India
Mostafa E. A. Ibrahim Egypt
Dattatray V. Jadhav India
Veena Mayya India
Riaz Ali China
May Phu Paing Thailand
Hussam Tarazi United States
Wei Bu China
Deepak Parashar relative to Shishir Maheshwari India Shishir Maheshwari's profile →
Citations per field
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Shishir Maheshwari · 1×
Citations per year

Countries citing papers authored by Deepak Parashar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Parashar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 202148
3 202044
4 202215
5 202313
6 202412
7 202312
8 202011
9
Factor Affecting Elements and Short term Load forecasting Based on Multiple Linear Regression Method
20149
10 20228
11 20218
12 20208
13 20237
14 20157
15 20225
16 20234
17 20244
18 20214
19 20203
20 20233

About Deepak Parashar

Deepak Parashar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 38 papers that have together received 306 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Glaucoma and retinal disorders (10 papers), Digital Imaging for Blood Diseases (6 papers), Brain Tumor Detection and Classification (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), Advanced Neural Network Applications (2 papers), Big Data and Business Intelligence (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Ophthalmology (128 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Computer Vision and Pattern Recognition (145 citations), Neurology (21 citations) and Human-Computer Interaction (13 citations). Deepak Parashar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Dheeraj Agrawal, Kanhaiya Sharma, Om Mishra, Dheeraj Agarwal, Manish Kumar Sharma, Mohammed Qayyum, Nachaat Mohamed, Vojtěch Blažek, Adel Oubelaid and Devendra Singh Chauhan. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Journal of Digital Imaging, Applied Sciences and IEEE Signal Processing Letters.

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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