Manoj Sharma

848 total citations
16 papers, 161 citations indexed

About

Manoj Sharma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Manoj Sharma has authored 16 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 1 paper in Artificial Intelligence. Recurrent topics in Manoj Sharma's work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (5 papers) and Handwritten Text Recognition Techniques (4 papers). Manoj Sharma is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (5 papers) and Handwritten Text Recognition Techniques (4 papers). Manoj Sharma collaborates with scholars based in India, Malaysia and Czechia. Manoj Sharma's co-authors include Santanu Chaudhury, Avinash Upadhyay, Rudrabha Mukhopadhyay, Sriharsha Koundinya, Abhijit Karmakar, Himanshu Sharma, Vijaypal Singh Dhaka, Tanveer J. Siddiqui, Brejesh Lall and Ankit Shukla and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and International Journal of Imaging Systems and Technology.

In The Last Decade

Manoj Sharma

15 papers receiving 156 citations

Peers

Manoj Sharma
Soomin Seo South Korea
Majed El Helou Switzerland
Ruoteng Li Singapore
Jan Kotera Czechia
Namhyuk Ahn South Korea
Seokil Hong Switzerland
Soomin Seo South Korea
Manoj Sharma
Citations per year, relative to Manoj Sharma Manoj Sharma (= 1×) peers Soomin Seo

Countries citing papers authored by Manoj Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Sharma

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

All Works

16 of 16 papers shown
1.
Sharma, Manoj, et al.. (2024). Simulating cross‐modal medical images using multi‐task adversarial learning of a deep convolutional neural network. International Journal of Imaging Systems and Technology. 34(4).
2.
Sharma, Neha, Manoj Sharma, Amit Singhal, et al.. (2024). A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification. IEEE Access. 13. 2141–2151. 2 indexed citations
3.
Shukla, Ankit, et al.. (2024). Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder. 2142–2152. 7 indexed citations
4.
Sharma, Manoj, et al.. (2022). Border Management Using Internet of Things. 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS). 7. 6–10. 1 indexed citations
5.
6.
Sharma, Manoj & Vijaypal Singh Dhaka. (2019). Segmentation of handwritten words using structured support vector machine. Pattern Analysis and Applications. 23(3). 1355–1367. 10 indexed citations
7.
Sharma, Manoj, et al.. (2019). Robust Image Colorization Using Self Attention Based Progressive Generative Adversarial Network. abs 1705 2999. 2188–2196. 10 indexed citations
8.
Koundinya, Sriharsha, Himanshu Sharma, Manoj Sharma, et al.. (2018). 2D-3D CNN Based Architectures for Spectral Reconstruction from RGB Images. 957–9577. 56 indexed citations
9.
Sharma, Manoj, Rudrabha Mukhopadhyay, Avinash Upadhyay, et al.. (2018). IRGUN : Improved Residue Based Gradual Up-Scaling Network for Single Image Super Resolution. 947–94709. 4 indexed citations
10.
Sharma, Manoj, Santanu Chaudhury, & Brejesh Lall. (2017). Deep learning based frameworks for image super-resolution and noise-resilient super-resolution. 26. 744–751. 5 indexed citations
11.
Sharma, Manoj, et al.. (2017). A Noise-Resilient Super-Resolution Framework to Boost OCR Performance. 4 indexed citations
12.
Sharma, Manoj & Tanveer J. Siddiqui. (2016). An Ontology Based Framework for Retrieval of Museum Artifacts. Procedia Computer Science. 84. 169–176. 7 indexed citations
13.
Sharma, Manoj, et al.. (2015). Segmentation of english Offline handwritten cursive scripts using a feedforward neural network. Neural Computing and Applications. 27(5). 1369–1379. 16 indexed citations
14.
Sharma, Manoj, et al.. (2015). An efficient segmentation technique for Devanagari offline handwritten scripts using the Feedforward Neural Network. Neural Computing and Applications. 26(8). 1881–1893. 17 indexed citations
15.
Sharma, Manoj, et al.. (2015). Pixel plot and trace based segmentation method for bilingual handwritten scripts using feedforward neural network. Neural Computing and Applications. 27(7). 1817–1829. 15 indexed citations
16.
Sharma, Manoj, Manoj Shukla, & Amit Kaul. (2011). Image hiding using unitary similarity transformation. 39. 1–4. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026