Manoj Diwakar

4.8k total citations · 1 hit paper
217 papers, 2.5k citations indexed

About

Manoj Diwakar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Manoj Diwakar has authored 217 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Vision and Pattern Recognition, 55 papers in Media Technology and 51 papers in Artificial Intelligence. Recurrent topics in Manoj Diwakar's work include Advanced Image Fusion Techniques (49 papers), Image and Signal Denoising Methods (46 papers) and Advanced Image Processing Techniques (28 papers). Manoj Diwakar is often cited by papers focused on Advanced Image Fusion Techniques (49 papers), Image and Signal Denoising Methods (46 papers) and Advanced Image Processing Techniques (28 papers). Manoj Diwakar collaborates with scholars based in India, Saudi Arabia and United Arab Emirates. Manoj Diwakar's co-authors include Prabhishek Singh, Manoj Kumar, Achyut Shankar, Shekhar Karanwal, Kapil Joshi, Amrendra Tripathi, Neeraj Kumar, Pardeep Kumar, Raj Shree and Minakshi Memoria and has published in prestigious journals such as Scientific Reports, Knowledge-Based Systems and Image and Vision Computing.

In The Last Decade

Manoj Diwakar

174 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on CT image noise and its denoising

2018 280 citations Manoj Diwakar, Manoj Kumar profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Manoj Diwakar India	25	1.2k	590	453	426	289	217	2.5k
Domènec Puig Spain	27	1.3k 1.1×	679 1.2×	769 1.7×	703 1.7×	283 1.0×	160	2.9k
Prabhishek Singh India	22	966 0.8×	546 0.9×	378 0.8×	234 0.5×	138 0.5×	196	2.0k
Fayadh Alenezi Saudi Arabia	30	915 0.8×	217 0.4×	723 1.6×	323 0.8×	200 0.7×	123	2.7k
Kai‐Lung Hua Taiwan	23	1.2k 1.0×	262 0.4×	481 1.1×	406 1.0×	138 0.5×	141	2.3k
Gongping Yang China	28	1.2k 1.0×	294 0.5×	409 0.9×	417 1.0×	260 0.9×	136	3.0k
Xianghua Xie United Kingdom	25	1.4k 1.2×	291 0.5×	633 1.4×	315 0.7×	245 0.8×	146	2.8k
Vikrant Bhateja India	26	1.2k 1.0×	841 1.4×	481 1.1×	170 0.4×	217 0.8×	153	2.4k
Pau‐Choo Chung Taiwan	27	1.4k 1.2×	309 0.5×	803 1.8×	398 0.9×	329 1.1×	157	2.8k
Yilong Yin China	30	1.6k 1.3×	187 0.3×	556 1.2×	522 1.2×	223 0.8×	115	3.3k
Bin Sheng China	24	1.0k 0.9×	195 0.3×	348 0.8×	611 1.4×	142 0.5×	114	2.1k

Countries citing papers authored by Manoj Diwakar

Since Specialization

Citations

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

Fields of papers citing papers by Manoj Diwakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Diwakar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Nigam, Aditya, et al.. (2025). M2SM: multi modal signature matching network utilizing spatio-temporal features extracted from online signature. International Journal on Document Analysis and Recognition (IJDAR). 28(4). 701–715.

2.

Singh, Prabhishek, et al.. (2025). An Efficient Gaussian Noise Denoising in CT Images with Deep Convolutional Neural Networks. Biomedical & Pharmacology Journal. 18(December Spl Edition). 139–159. 2 indexed citations

3.

Gautam, Vinay, et al.. (2025). Composite deep learning model for characterization of tomato leaf disease. Multimedia Tools and Applications. 84(38). 47021–47050.

4.

Diwakar, Manoj, et al.. (2025). Diabetic Retinopathy Detection and Analysis with Convolutional Neural Networks and Vision Transformer. 1(1). 18–26.

5.

Singh, Jagendra, Syam Machinathu Parambil Gangadharan, Prabhishek Singh, et al.. (2025). A Novel Model Utilizing Deep Neural Networks for Opinion Mining. International Journal of Computational Intelligence Systems. 18(1).

6.

Gangodkar, Durgaprasad, et al.. (2025). Intelligent traffic light management using predictive and dynamic traffic flow analysis. Scientific Reports. 15(1). 37188–37188.

7.

Diwakar, Manoj, et al.. (2024). Inertial sensor aided motion blur kernel estimation for cooled IR detector. Optics and Lasers in Engineering. 175. 108014–108014. 2 indexed citations

8.

Ravi, Vinayakumar, et al.. (2024). DONAPP: A Centralized Platform for Bridging the Gap between Donors and Recipients. The Open Nursing Journal. 18(1).

9.

Singh, Prabhishek, et al.. (2024). A Hybrid Approach for CT Image Noise Reduction Combining Method Noise-CNN and Shearlet Transform. Biomedical & Pharmacology Journal. 17(3). 1875–1898. 5 indexed citations

10.

Diwakar, Manoj, et al.. (2024). Exploring Potential of Extended Reality in Healthcare. 1–5.

11.

Singh, Prabhishek, et al.. (2024). Enhancing Cyber Security Protocols in Distributing Enviornments with Advanced Cryptographic Techniques. 107–112.

12.

Singh, Shailendra Pratap, Prabhishek Singh, Deepika Koundal, & Manoj Diwakar. (2024). A New Multi/Many-Objective Optimization Approach in Wireless Sensor Networks for E-Commerce Applications. IEEE Transactions on Consumer Electronics. 70(2). 4848–4857. 6 indexed citations

13.

Kumar, Sandeep, Jagendra Singh, Vinayakumar Ravi, et al.. (2024). Utilizing Multi-layer Perceptron for Esophageal Cancer Classification Through Machine Learning Methods. The Open Public Health Journal. 17(1). 3 indexed citations

14.

Singh, Jagendra, Sandeep Kumar, Vinayakumar Ravi, et al.. (2024). Integrating Radial Basis Networks and Deep Learning for Transportation. The Open Transportation Journal. 18(1).

15.

Garg, Rahul, et al.. (2023). Monitoring the Land Use, Land Cover Changes of Roorkee Region (Uttarakhand, India) Using Machine Learning Techniques. International Journal of Social Ecology and Sustainable Development. 14(1). 1–16. 5 indexed citations

16.

Diwakar, Manoj, et al.. (2023). Comparative Analysis of 5G Security Mechanisms. 1–4. 2 indexed citations

17.

Pandey, Neeraj Kumar, et al.. (2023). Machine Learning based Food Demand Estimation for Restaurants. 7 indexed citations

18.

Khosravi, Mohammad R., et al.. (2021). A Secure IoT‐Based Cloud Platform Selection Using Entropy Distance Approach and Fuzzy Set Theory. Wireless Communications and Mobile Computing. 2021(1). 19 indexed citations

19.

Diwakar, Manoj & Manoj Kumar. (2018). CT image denoising using NLM and correlation‐based wavelet packet thresholding. IET Image Processing. 12(5). 708–715. 51 indexed citations

20.

Diwakar, Manoj, et al.. (2018). CT Image Denoising Based on Thresholding in Shearlet Domain. Biomedical & Pharmacology Journal. 11(2). 671–677. 7 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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