K. V. Arya

2.7k citations
135 papers · 1.8k indexed · h-index 24

Impact in

Papers in

K. V. Arya

129 papers receiving 1.7k citations

Peers

K. V. Arya
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 848
  • Media Technology 272
  • Artificial Intelligence 615
  • Signal Processing 174
  • Computational Theory and Mathematics 156
Replace Yuk Ying Chung with:
Yuk Ying Chung Australia
Fatih Kurugöllü United Kingdom
Igor Aizenberg United States
宏治 津田 Japan
Om Prakash Verma India
Yong Luo China
Rajat Raina United States
David J. Wu United States
Max Jaderberg United Kingdom
Piyush Kumar United States
K. V. Arya relative to Yuk Ying Chung Australia Yuk Ying Chung's profile →
Citations per field
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Yuk Ying Chung · 1×
Citations per year

Countries citing papers authored by K. V. Arya

Since Specialization
Citations

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

Fields of papers citing papers by K. V. Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Arya. 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 K. V. Arya. The network helps show where K. V. Arya may publish in the future.

Co-authorship network

The 25 scholars most cited alongside K. V. Arya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. V. Arya Line = papers co-authored together K. V. Arya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20243
4 20236
5 202024
6 20183
7 201746
8 20162
9 201523
10 201486
11 20142
12 20149
13 201455
14 20137
15
Security Issues & Clustering Based Solutions in Mobile Ad-hoc Networks - A Survey
20121
16
A Survey on QoS in AODV Routing Protocol for MANET
20121
17 20122
18 201246
19 20086
20
On the Rate of Pointwise Convergence of Modified Baskakov Type Operators for Functions of Bounded Variation
19981

About K. V. Arya

K. V. Arya is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 135 papers that have together received 1.8k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (23 papers), Advanced Image Processing Techniques (20 papers), Face and Expression Recognition (17 papers), Metaheuristic Optimization Algorithms Research (14 papers), Biometric Identification and Security (14 papers), Mobile Ad Hoc Networks (14 papers), Face recognition and analysis (13 papers) and Evolutionary Algorithms and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (848 citations), Media Technology (272 citations), Artificial Intelligence (615 citations), Signal Processing (174 citations) and Computational Theory and Mathematics (156 citations). K. V. Arya has collaborated with scholars based in India, United Kingdom and Nepal. Frequent co-authors include Mukesh Saraswat, Jagdish Chand Bansal, Shyam Singh Rajput, Vijay Kumar Bohat, Yadunath Pathak, Harish Sharma, Harish Sharma, Shailendra Tiwari, Anand Singh Jalal and Rohit Agarwal. Their work appears in journals such as Multimedia Tools and Applications, Signal Processing, Soft Computing, Pattern Recognition Letters and Wireless Personal 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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