Uday B. Desai

79 papers receiving 723 citations

Peers

Uday B. Desai
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 201
  • Computer Networks and Communications 196
  • Computer Vision and Pattern Recognition 158
  • Media Technology 131
  • Control and Systems Engineering 127
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Countries citing papers authored by Uday B. Desai

Since Specialization
Citations

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

Fields of papers citing papers by Uday B. Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday B. Desai. 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 Uday B. Desai. The network helps show where Uday B. Desai may publish in the future.

Co-authorship network of co-authors of Uday B. Desai

This figure shows the co-authorship network connecting the top 25 collaborators of Uday B. Desai. A scholar is included among the top collaborators of Uday B. Desai 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 Uday B. Desai. Uday B. Desai 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
#WorkIndexed citations
1 4
2 28
3 3
4 30
5 3
6
Multifocus image fusion algorithm using iterative segmentation based on edge information and adaptive threshold
1
7
Hierarchical fusion using vector quantization for visualization of hyperspectral images
2
8
An efficient adaptive fusion scheme for multifocus images in wavelet domain using statistical properties of neighborhood
12
9
Utility-based Decision-making for Symbiotic Cooperative Relaying in Cognitive Radio Networks
3
10 12
11 4
12
Multiple Model Based Point Targets Tracking Using Particle Filtering in InfraRed Image Sequence.
2
13 2
14 44
15
Compressed Domain Video Resolution Enhancement: Use of Motion Vectors.
1
16
Synthetic IR Scene Simulation of Air-Borne Targets.
12
17
Wavelet Based Detection, Modified Pipeline Algorithm for Multiple Point Targets Tracking In Infrared Image Sequences.
3
18 0
19
Moving the earth : cooperative federalism and implementation of the Surface Mining Act
3
20
Orthogonal l 1 technique for image restoration.
2

About Uday B. Desai

Uday B. Desai is a scholar working on Media Technology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 778 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Cooperative Communication and Network Coding (11 papers) and Infrared Target Detection Methodologies (11 papers). The work is most often cited by research in Media Technology (131 citations), Statistics, Probability and Uncertainty (67 citations) and Statistical and Nonlinear Physics (111 citations). Uday B. Desai has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include S. N. Merchant, Debajyoti Pal, R. D. Kirkpatrick, P. Rajalakshmi, Vikram M. Gadre, Mukesh A. Zaveri, Sunil Kumar Kopparapu, Mohammed Zafar Ali Khan, Lajos Hanzo and Doohwan Lee. Their work appears in journals such as IEEE Access, Frontiers in Plant Science and IEEE Transactions on Wireless Communications.

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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