V. Vijayakumar

6.5k citations
172 papers · 3.9k indexed · h-index 35
Topics
IoT and Edge/Fog Computing (20 papers)Recommender Systems and Techniques (16 papers)Caching and Content Delivery (14 papers)
Journals
SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
Partner nations
IndiaAustraliaChina

In The Last Decade

V. Vijayakumar

160 papers receiving 3.7k citations

Peers

V. Vijayakumar
Comparison fields: 5 of 171
  • Information Systems 1.1k
  • Computer Networks and Communications 1.0k
  • Artificial Intelligence 1000
  • Electrical and Electronic Engineering 721
  • Computer Vision and Pattern Recognition 682
Replace V. Subramaniyaswamy with:
V. Subramaniyaswamy India
Logesh Ravi India
Osamah Ibrahim Khalaf Iraq
Mukesh Prasad Australia
Mehedi Masud Saudi Arabia
Ashutosh Sharma India
Awais Ahmad South Korea
Rubén González Crespo Spain
Chinmay Chakraborty India
Wei Liang China
V. Vijayakumar relative to V. Subramaniyaswamy India V. Subramaniyaswamy's profile →
Citations per field
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V. Subramaniyaswamy · 1×
Citations per year

Countries citing papers authored by V. Vijayakumar

Since Specialization
Citations

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

Fields of papers citing papers by V. Vijayakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Vijayakumar

This figure shows the co-authorship network connecting the top 25 collaborators of V. Vijayakumar. A scholar is included among the top collaborators of V. Vijayakumar 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 V. Vijayakumar. V. Vijayakumar 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 0
4 5
5 1
6 9
7 0
8 7
9 23
10 12
11 5
12 69
13 6
14 2
15 12
16 172
17
An Efficient Authentication Scheme for Mobile Cloud Computing Services.
2
18 133
19 13
20
Novel mechanism for evaluating feedback in the grid environment on resource allocation
2

About V. Vijayakumar

V. Vijayakumar is a scholar working on Information Systems, Computer Networks and Communications and Transportation, having authored 172 papers that have together received 3.9k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (20 papers), Recommender Systems and Techniques (16 papers) and Caching and Content Delivery (14 papers). The work is most often cited by research in Information Systems (1.1k citations), Computer Networks and Communications (1.0k citations) and Health Information Management (205 citations). V. Vijayakumar has collaborated with scholars based in India, Australia and China. Frequent co-authors include V. Subramaniyaswamy, Logesh Ravi, M. Poongodi, V. Indragandhi, Ketan Kotecha, Malathi Devarajan, Naveen Chilamkurti, D. Rekha, Mounir Hamdi and V. Priya. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior 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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