Deepak Mishra

1.7k total citations
91 papers, 625 citations indexed

About

Deepak Mishra is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Deepak Mishra has authored 91 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 15 papers in Media Technology. Recurrent topics in Deepak Mishra's work include Sparse and Compressive Sensing Techniques (14 papers), Video Surveillance and Tracking Methods (11 papers) and Image and Signal Denoising Methods (9 papers). Deepak Mishra is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Video Surveillance and Tracking Methods (11 papers) and Image and Signal Denoising Methods (9 papers). Deepak Mishra collaborates with scholars based in India, Australia and Canada. Deepak Mishra's co-authors include Rama Krishna Gorthi, Syed Hadi Hasan, D. Ranjan, Sai Siva Gorthi, ‪Rama Rao Nidamanuri, Siddhartha Siddhartha, Anita Thakur, Tony Thomas, Hari Prakash and G. Gopakumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Image Processing.

In The Last Decade

Deepak Mishra

82 papers receiving 590 citations

Peers

Deepak Mishra
Stuart Perry Australia
José F. López Spain
Yecai Guo China
Domenico Vitulano Italy
Zhigang Liu China
Zhenglong Cui China
Vittoria Bruni Italy
Xiaohui Yang China
Qi Han China
Devanand Bhonsle India
Stuart Perry Australia
Deepak Mishra
Citations per year, relative to Deepak Mishra Deepak Mishra (= 1×) peers Stuart Perry

Countries citing papers authored by Deepak Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Mishra

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

All Works

20 of 20 papers shown
1.
Mishra, Deepak, et al.. (2024). Phase-space path integral approach to the kinetics of black hole phase transition in massive gravity. Annals of Physics. 470. 169819–169819. 1 indexed citations
2.
Mishra, Deepak, et al.. (2024). A deep learning framework for electrocardiogram (ECG) super resolution and arrhythmia classification. Research on Biomedical Engineering. 40(1). 199–211. 3 indexed citations
3.
Agarwal, Harsh, Deepak Mishra, & Ashok Kumar. (2024). A deep-learning approach for turbulence correction in free space optical communication with Laguerre–Gaussian modes. Optics Communications. 556. 130249–130249. 5 indexed citations
4.
Ambikairajah, Eliathamby, et al.. (2024). A Tiered Learning Framework for Self-Guided Engineering Design Education. 1–5. 1 indexed citations
5.
Mishra, Deepak, et al.. (2024). Utilising energy function and variational inference training for learning a graph neural network architecture. Machine Learning. 113(3). 1219–1241.
6.
Mishra, Deepak, et al.. (2024). Deep Efficient Data Association for Multi-Object Tracking: Augmented with SSIM-Based Ambiguity Elimination. Journal of Imaging. 10(7). 171–171. 1 indexed citations
7.
Gnanappazham, L., et al.. (2024). Estimation of above ground biomass of mangrove forest plot using terrestrial laser scanner. The Egyptian Journal of Remote Sensing and Space Science. 28(1). 1–11. 2 indexed citations
8.
Mishra, Deepak, et al.. (2023). Framework for Segmented threshold ℓ0 gradient approximation based network for sparse signal recovery. Neural Networks. 162. 425–442. 1 indexed citations
9.
Mandal, Samir, et al.. (2023). Automated classification of Chandra X-ray point sources using machine learning methods. Monthly Notices of the Royal Astronomical Society. 520(4). 5065–5076. 3 indexed citations
10.
Mishra, Deepak, et al.. (2023). Multi-mode dictionaries for fast CS-based dynamic MRI reconstruction. The Imaging Science Journal. 72(1). 92–104.
11.
Mishra, Deepak, et al.. (2023). Nested DWT–Based CNN Architecture for Monocular Depth Estimation. Sensors. 23(6). 3066–3066. 2 indexed citations
12.
Thomas, Tony, et al.. (2021). Finger Vein Pulsation-Based Biometric Recognition. IEEE Transactions on Information Forensics and Security. 16. 5034–5044. 21 indexed citations
13.
Mishra, Deepak, et al.. (2021). Edge loss functions for deep-learning depth-map. SHILAP Revista de lepidopterología. 7. 100218–100218. 20 indexed citations
14.
Mishra, Deepak, et al.. (2021). HeartNetEC: a deep representation learning approach for ECG beat classification. Biomedical Engineering Letters. 11(1). 69–84. 14 indexed citations
15.
Mishra, Deepak, et al.. (2021). Guided MDNet tracker with guided samples. The Visual Computer. 38(3). 1135–1149. 1 indexed citations
16.
17.
Mishra, Deepak, et al.. (2020). Harnessing feedback region proposals for multi‐object tracking. IET Computer Vision. 14(7). 434–442. 1 indexed citations
18.
Mishra, Deepak, et al.. (2019). Higher order Dictionary Learning for Compressed Sensing based Dynamic MRI reconstruction.. British Machine Vision Conference. 190. 1 indexed citations
19.
Siddhartha, Siddhartha, et al.. (2018). Deep GoogLeNet Features for Visual Object Tracking. 60–66. 24 indexed citations
20.
Mishra, Deepak, et al.. (2017). Correlation-Based Tracker-Level Fusion for Robust Visual Tracking. IEEE Transactions on Image Processing. 26(10). 4832–4842. 12 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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