V. Bhanumathi

834 citations
45 papers · 552 · h-index 13

Impact in

Papers in

V. Bhanumathi

43 papers receiving 513 citations

Peers

V. Bhanumathi
Comparison fields: 5 of 75
  • Computer Networks and Communications 282
  • Electrical and Electronic Engineering 216
  • Water Science and Technology 51
  • Soil Science 32
  • Computer Vision and Pattern Recognition 59
Replace Rongtao Xu with:
Rongtao Xu China
Alan Broad United States
Muhammed Enes Bayrakdar Türkiye
Stefanos A. Nikolidakis Greece
Santar Pal Singh India
Wan Du United States
Zerina Kapetanovic United States
Moin Uddin India
Alexander Kocian Italy
Francisco Rossomando Argentina
V. Bhanumathi relative to Rongtao Xu China Rongtao Xu's profile →
Citations per field
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Rongtao Xu · 1×
Citations per year

Countries citing papers authored by V. Bhanumathi

Since Specialization
Citations

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

Fields of papers citing papers by V. Bhanumathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside V. Bhanumathi, 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 V. Bhanumathi Line = papers co-authored together V. Bhanumathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201884
2 202059
3 201755
4 201927
5 202025
6 201824
7 202124
8 201923
9 201621
10 202018
11 201914
12 202114
13 201914
14 202112
15 202011
16
A Review on Swarm Intelligence Based Routing Approaches
201910
17 202010
18 201910
19 20199
20 20229

About V. Bhanumathi

V. Bhanumathi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 552 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (17 papers), Mobile Ad Hoc Networks (11 papers), Wireless Body Area Networks (8 papers), Energy Harvesting in Wireless Networks (6 papers), Water Quality Monitoring Technologies (5 papers), Antenna Design and Analysis (5 papers), IoT and Edge/Fog Computing (5 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Computer Networks and Communications (282 citations), Electrical and Electronic Engineering (216 citations), Water Science and Technology (51 citations), Soil Science (32 citations) and Computer Vision and Pattern Recognition (59 citations). V. Bhanumathi has collaborated with scholars based in India, South Korea and Australia. Frequent co-authors include R. Sakthivel, R. Dhanasekaran, S. Swathi, S. Swamynathan, V. Balakrishnan, Raja Naeem Akram, Jaehyuk Cho, Damien Sauveron and Elizabeth Chang. Their work appears in journals such as Measurement, Sensors, Journal of Industrial Information Integration, Energy Sources Part A Recovery Utilization and Environmental Effects and Electronics.

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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