Vijay Kumar Sharma

431 citations
24 papers · 288 indexed · h-index 8
Topics
Advanced Data Compression Techniques (6 papers)Chaos-based Image/Signal Encryption (5 papers)Digital Filter Design and Implementation (5 papers)
Journals
SHILAP Revista de lepidopterologíaSignal Processing Image CommunicationDigital Signal Processing
Partner nations
India

In The Last Decade

Vijay Kumar Sharma

22 papers receiving 264 citations

Peers

Vijay Kumar Sharma
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 240
  • Signal Processing 49
  • Artificial Intelligence 46
  • Media Technology 28
  • Computational Theory and Mathematics 18
Replace Francisco García-Ugalde with:
Francisco García-Ugalde Mexico
Salah Euschi Algeria
W.K. Cham Hong Kong
J. K. Su Germany
Amir Hossein Taherinia Iran
Ruohan Meng China
Fares Kahlessenane Algeria
Mohammed Ouanan Portugal
Minyoung Kim South Korea
Davis Pan United States
Vijay Kumar Sharma relative to Francisco García-Ugalde Mexico Francisco García-Ugalde's profile →
Citations per field
00.5×3.1×
Francisco García-Ugalde · 1×
Citations per year

Countries citing papers authored by Vijay Kumar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Kumar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay Kumar Sharma. 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 Vijay Kumar Sharma. The network helps show where Vijay Kumar Sharma may publish in the future.

Co-authorship network of co-authors of Vijay Kumar Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Kumar Sharma. A scholar is included among the top collaborators of Vijay Kumar Sharma 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 Vijay Kumar Sharma. Vijay Kumar Sharma 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 2
2 1
3
Python Programming: A Practical Approach
0
4 5
5 5
6 8
7 8
8 11
9 1
10 16
11 3
12 175
13 9
14 2
15 3
16 17
17 1
18 2
19 2
20
Dietary practices and beliefs in adolescent girls.
3

About Vijay Kumar Sharma

Vijay Kumar Sharma is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 24 papers that have together received 288 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Digital Filter Design and Implementation (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Signal Processing (49 citations) and Media Technology (28 citations). Vijay Kumar Sharma has collaborated with scholars based in India. Frequent co-authors include Kamalakanta Mahapatra, Umesh Chandra Pati, S. Suresh Kumar, Ajit Pratap Singh, Satyendra Kumar Sharma, Bibhudendra Acharya, Rohit Jain, Amit Rathi, Tarun Kumar Sharma and Narender Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Signal Processing Image Communication and Digital Signal Processing.

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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