Deepak Mishra

820 total citations
70 papers, 517 citations indexed

About

Deepak Mishra is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Deepak Mishra has authored 70 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 20 papers in Computer Vision and Pattern Recognition and 20 papers in Artificial Intelligence. Recurrent topics in Deepak Mishra's work include CCD and CMOS Imaging Sensors (11 papers), Neural Networks and Applications (9 papers) and Image and Signal Denoising Methods (8 papers). Deepak Mishra is often cited by papers focused on CCD and CMOS Imaging Sensors (11 papers), Neural Networks and Applications (9 papers) and Image and Signal Denoising Methods (8 papers). Deepak Mishra collaborates with scholars based in India, Nepal and United States. Deepak Mishra's co-authors include Mukul Sarkar, Santanu Chaudhury, Arvinder S. Soin, Prem Kalra, Abhishek Kumar Yadav, Kanishka Tyagi, Deshdeep Sahdev, Sayan Kar, Shiraz Minwalla and S.C. Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Deepak Mishra

53 papers receiving 497 citations

Peers

Deepak Mishra
Comparison fields: 5 of 89
  • Biomedical Engineering 149
  • Computer Vision and Pattern Recognition 143
  • Radiology, Nuclear Medicine and Imaging 117
  • Electrical and Electronic Engineering 107
  • Artificial Intelligence 102
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Citations per field, relative to Deepak Mishra
Deepak Mishra · 1×
Citations per year, relative to Deepak Mishra
Deepak Mishra · 1×

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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 0
7 2
8 0
9 0
10 1
11 0
12 0
13 1
14 2
15 24
16
Modified Hopfield Neural Network Approach for Solving Nonlinear Algebraic Equations
25
17
ARTIFICIAL NEURAL NETWORK TYPE LEARNING WITH SINGLE MULTIPLICATIVE SPIKING NEURON
2
18 7
19 6
20 25

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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