Deepak Parashar

461 total citations
31 papers, 266 citations indexed

About

Deepak Parashar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Deepak Parashar has authored 31 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Ophthalmology. Recurrent topics in Deepak Parashar's work include Glaucoma and retinal disorders (9 papers), Retinal Imaging and Analysis (9 papers) and Digital Imaging for Blood Diseases (5 papers). Deepak Parashar is often cited by papers focused on Glaucoma and retinal disorders (9 papers), Retinal Imaging and Analysis (9 papers) and Digital Imaging for Blood Diseases (5 papers). Deepak Parashar collaborates with scholars based in India, United States and Algeria. Deepak Parashar's co-authors include Dheeraj Agrawal, Kanhaiya Sharma, Om Mishra, Manish Kumar Sharma, Nabil Taib, Rajneesh Sharma, Adel Oubelaid, Toufik Rekioua, Devendra Singh Chauhan and Vojtěch Blažek and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Deepak Parashar

27 papers receiving 242 citations

Peers

Deepak Parashar

RNMI

CVPR

OPHTH

EEE

CSE

Jarmila Pavlovičová Slovakia

Liucun Zhu China

G. Kavitha India

Marah Alhalabi United Arab Emirates

Mostafa E. A. Ibrahim Egypt

Riaz Ali China

G. Indumathi India

Jahanzaib Latif China

T. Jaya India

S. Vijayachitra India

Jarmila Pavlovičová Slovakia

Deepak Parashar

106 ×0.7

RNMI

217 ×1.6

CVPR

67 ×0.6

OPHTH

16 ×0.6

EEE

8 ×0.3

CSE

Citations per year, relative to Deepak Parashar Deepak Parashar (= 1×) peers Jarmila Pavlovičová

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-authorship network of co-authors of Deepak Parashar

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Parashar. A scholar is included among the top collaborators of Deepak Parashar 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 Deepak Parashar. Deepak Parashar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Delwar, Tahesin Samira, et al.. (2025). AI- and Deep Learning-Powered Driver Drowsiness Detection Method Using Facial Analysis. Applied Sciences. 15(3). 1102–1102.

2.

Sharma, Kanhaiya, et al.. (2024). Improved method for stress detection using bio-sensor technology and machine learning algorithms. MethodsX. 12. 102581–102581. 11 indexed citations

3.

Sharma, Kanhaiya, et al.. (2024). AI-Driven Decision Making in the Age of Data Abundance: Navigating Scalability Challenges in Big Data Processing. Revue d intelligence artificielle. 38(4). 1335–1340. 3 indexed citations

4.

Sharma, Kanhaiya, et al.. (2023). An Automatic Framework for Number Plate Detection using OCR and Deep Learning Approach. International Journal of Advanced Computer Science and Applications. 14(4). 11 indexed citations

5.

Parashar, Deepak, et al.. (2023). Improved Yoga Pose Detection Using MediaPipe and MoveNet in a Deep Learning Model. Revue d intelligence artificielle. 37(5). 1197–1202. 10 indexed citations

6.

Parashar, Deepak, et al.. (2023). A Deep Learning-Based Approach for Hand Sign Recognition Using CNN Architecture. Revue d intelligence artificielle. 37(4). 937–943. 1 indexed citations

7.

Sharma, Kanhaiya, et al.. (2023). State of-the-Art Analysis of Multiple Object Detection Techniques using Deep Learning. International Journal of Advanced Computer Science and Applications. 14(6). 3 indexed citations

8.

Sharma, Rajneesh, et al.. (2023). Epileptic seizure classification using fuzzy lattices and Neural Reinforcement Learning. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 11(7). 7 indexed citations

9.

Parashar, Deepak, et al.. (2023). Efficient Routing Method based on Hybrid ACO Algorithm for Flying Ad-Hoc Networks. 685–689.

10.

Sharma, Kanhaiya, et al.. (2023). Enhancing Online Job Posting Security: A Big Data Approach to Fraud Detection. 1–6. 1 indexed citations

11.

Sharma, Kanhaiya, et al.. (2023). The Role of Big Data Analytics in Enhancing Customer Interactions and Loyalty. 308–311. 2 indexed citations

12.

Oubelaid, Adel, Nachaat Mohamed, Nabil Taib, et al.. (2022). Robust Controllers Design and Performance Investigation of a Vector Controlled Electric Vehicle. 1–6. 14 indexed citations

13.

Parashar, Deepak & Dheeraj Agrawal. (2022). Classification of Glaucoma Stages Using Image Empirical Mode Decomposition from Fundus Images. Journal of Digital Imaging. 35(5). 1283–1292. 6 indexed citations

14.

Tyagi, Praveen K., et al.. (2022). A Review of Automated Diagnosis of ECG Arrhythmia Using Deep Learning Methods. 98–111. 4 indexed citations

15.

Parashar, Deepak, et al.. (2021). SVM based Supervised Machine Learning Framework for Glaucoma Classification using Retinal Fundus Images. 660–663. 6 indexed citations

16.

Parashar, Deepak & Dheeraj Agrawal. (2021). Computer-Aided Diagnosis of Glaucoma at Early-Stage Using Retinal Fundus Images. 13. 1–4. 2 indexed citations

17.

Parashar, Deepak & Dheeraj Agrawal. (2021). Texture-based Feature Extraction from Fundus Images for Glaucoma Diagnosis. 200–203. 2 indexed citations

18.

Parashar, Deepak & Dheeraj Agrawal. (2020). Automated Classification of Glaucoma Using Retinal Fundus Images. 1–6. 10 indexed citations

19.

Parashar, Deepak & Dheeraj Agrawal. (2020). Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform From Retinal Fundus Images. IEEE Sensors Journal. 20(21). 12885–12894. 57 indexed citations

20.

Sharma, Manish Kumar, et al.. (2016). Mixed algorithm for large scale uncertain discrete interval models. 400–403. 1 indexed citations

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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