Uday Pratap Singh

3.1k citations
77 papers · 2.0k indexed · 2 hit papers · h-index 19
Topics
Adaptive Control of Nonlinear Systems (18 papers)Smart Agriculture and AI (13 papers)Adaptive Dynamic Programming Control (10 papers)

In The Last Decade

Uday Pratap Singh

70 papers receiving 1.9k citations

Hit Papers

Multilayer Convolution Neural Network for the Classificat...201920262021202320192023100200300

Peers

Uday Pratap Singh
Comparison fields: 5 of 139
  • Plant Science 877
  • Analytical Chemistry 393
  • Computer Vision and Pattern Recognition 360
  • Artificial Intelligence 254
  • Biomedical Engineering 224
Replace Muhammad Younus Javed with:
Muhammad Younus Javed Pakistan
Anand Singh Jalal India
Abdelouahab Moussaouı Algeria
Deepali Gupta India
Malik Braik Jordan
D. S. Guru India
Amr Badr Egypt
Kalpna Guleria India
Jaya Sil India
Muhammad Hameed Siddiqi Saudi Arabia
Uday Pratap Singh relative to Muhammad Younus Javed Pakistan Muhammad Younus Javed's profile →
Citations per field
00.5×3.6×
Muhammad Younus Javed · 1×
Citations per year

Countries citing papers authored by Uday Pratap Singh

Since Specialization
Citations

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

Fields of papers citing papers by Uday Pratap Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uday Pratap Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Pratap Singh. A scholar is included among the top collaborators of Uday Pratap Singh 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 Pratap Singh. Uday Pratap Singh 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 0
3 5
4 0
5 11
6 5
7 18
8 0
9 23
10 39
11 3
12 64
13 1
14 5
15 53
16
Water Quality Monitoring Using Machine Learning And Iot
8
17 15
18 4
19 127
20 1

About Uday Pratap Singh

Uday Pratap Singh is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Neurology, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (18 papers), Smart Agriculture and AI (13 papers) and Adaptive Dynamic Programming Control (10 papers). The work is most often cited by research in Analytical Chemistry (393 citations), Plant Science (877 citations) and Neurology (153 citations). Uday Pratap Singh has collaborated with scholars based in India, Jordan and United Kingdom. Frequent co-authors include Sanjeev Jain, Siddharth Singh Chouhan, Ajay Kaul, Sakshi Arora, Eric J. Tan, Ronald S. Fearing, G. Moy, Utkarsh Sharma, Kuldip Raj and Akhilesh Tiwari. Their work appears in journals such as IEEE Access, Journal of the Franklin Institute and International Journal of Control.

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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