Shiv Dutt Joshi

1.3k citations
66 papers · 885 indexed · h-index 16
Topics
Image and Signal Denoising Methods (20 papers)Mathematical Analysis and Transform Methods (14 papers)Blind Source Separation Techniques (11 papers)
Partner nations
IndiaNepal

In The Last Decade

Shiv Dutt Joshi

59 papers receiving 852 citations

Peers

Shiv Dutt Joshi
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 391
  • Applied Mathematics 274
  • Signal Processing 262
  • Artificial Intelligence 144
  • Radiology, Nuclear Medicine and Imaging 138
Replace D.B.H. Tay with:
D.B.H. Tay Australia
Gianluca Vıntı Italy
Kulbir Singh India
Jun Shi China
Ishtiaq Rasool Khan Saudi Arabia
Pushpendra Singh India
Firdous A. Shah India
Lütfiye Durak-Ata Türkiye
Abou‐Bakr M. Youssef Egypt
Shiv Dutt Joshi relative to D.B.H. Tay Australia D.B.H. Tay's profile →
Citations per field
00.5×3.8×
D.B.H. Tay · 1×
Citations per year

Countries citing papers authored by Shiv Dutt Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Dutt Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiv Dutt Joshi. 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 Shiv Dutt Joshi. The network helps show where Shiv Dutt Joshi may publish in the future.

Co-authorship network of co-authors of Shiv Dutt Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Dutt Joshi. A scholar is included among the top collaborators of Shiv Dutt Joshi 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 Shiv Dutt Joshi. Shiv Dutt Joshi 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 0
2 1
3 5
4 0
5 0
6 7
7 90
8 21
9 1
10 47
11 1
12 81
13 16
14 2
15 25
16 28
17 4
18 3
19 0
20 8

About Shiv Dutt Joshi

Shiv Dutt Joshi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 66 papers that have together received 885 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (20 papers), Mathematical Analysis and Transform Methods (14 papers) and Blind Source Separation Techniques (11 papers). The work is most often cited by research in Applied Mathematics (274 citations), Signal Processing (262 citations) and Computer Vision and Pattern Recognition (391 citations). Shiv Dutt Joshi has collaborated with scholars based in India and Nepal. Frequent co-authors include Kamalesh Kumar Sharma, Pushpendra Singh, Brejesh Lall, Amit Singhal, Anubha Gupta, Binish Fatimah, Hemant Kumar Meena, Priya Aggarwal, Deepak Joshi and Tapan Kumar Gandhi. Their work appears in journals such as PLoS ONE, IEEE Transactions on Signal Processing and IEEE Access.

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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