Vinu Sundararaj

1.8k citations
11 papers · 1.6k indexed · 2 hit papers · h-index 10

Vinu Sundararaj

11 papers receiving 1.4k citations

Hit Papers

Optimised denoising scheme via opposition-based self-adap...226201820262020202350100150200250

Peers

Vinu Sundararaj
Comparison fields: 5 of 107
  • Computer Networks and Communications 554
  • Computer Vision and Pattern Recognition 340
  • Information Systems 373
  • Business and International Management 23
  • Health Information Management 54
Replace S. Baskar with:
S. Baskar India
P. Mohamed Shakeel Malaysia
Haoxiang Wang United States
BalaAnand Muthu China
Boyi Xu China
Liang Tan China
Youseef Alotaibi Saudi Arabia
E. Laxmi Lydia India
Hongming Cai China
A. M. Rıad Egypt
Vinu Sundararaj relative to S. Baskar India S. Baskar's profile →
Citations per field
00.5×1.5×2.3×
S. Baskar · 1×
Citations per year

Countries citing papers authored by Vinu Sundararaj

Since Specialization
Citations

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

Fields of papers citing papers by Vinu Sundararaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Vinu Sundararaj, 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 Vinu Sundararaj Line = papers co-authored together Vinu Sundararaj links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20239
2 202136
3 202172
4 2021122
5 2020168
6 202076
7
Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reductionbreakdown →
2019226
8
Optimal Task Assignment in Mobile Cloud Computing by Queue Based Ant-Bee Algorithmbreakdown →
2018251
9 2018273
10 201792
11 2016232

About Vinu Sundararaj

Vinu Sundararaj is a scholar working on Business and International Management, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (3 papers), Image and Signal Denoising Methods (3 papers), IoT and Edge/Fog Computing (2 papers), Energy Harvesting in Wireless Networks (1 paper), Technology Adoption and User Behaviour (1 paper), Advanced Image Fusion Techniques (1 paper), Innovation and Socioeconomic Development (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Computer Networks and Communications (554 citations), Computer Vision and Pattern Recognition (340 citations) and Information Systems (373 citations). Vinu Sundararaj has collaborated with scholars based in India and China. Frequent co-authors include Rajesh Kumar, Mohit Tiwari, Tripti Tiwari, Pankaj Bhambri, Priyanka Dixit and Nannan Liu. Their work appears in journals such as Expert Systems with Applications, Journal of Retailing and Consumer Services and Progress in Photovoltaics Research and Applications.

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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