P. Bagavathi Sivakumar

55 papers receiving 601 citations

Peers

P. Bagavathi Sivakumar
Comparison fields: 5 of 114
  • Artificial Intelligence 157
  • Electrical and Electronic Engineering 153
  • Computer Vision and Pattern Recognition 96
  • Computer Networks and Communications 87
  • Water Science and Technology 85
Replace C. B. Sivaparthipan with:
C. B. Sivaparthipan China
Casi Setianingsih Indonesia
Hengchang Liu China
R. Dinesh Jackson Samuel India
Ali Mustafa Qamar Saudi Arabia
A. Suresh India
Meng‐Han Tsai Taiwan
Shuo Chang China
Shaukat Ali Pakistan
Arvind Kumar India
P. Bagavathi Sivakumar relative to C. B. Sivaparthipan China C. B. Sivaparthipan's profile →
Citations per field
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C. B. Sivaparthipan · 1×
Citations per year

Countries citing papers authored by P. Bagavathi Sivakumar

Since Specialization
Citations

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

Fields of papers citing papers by P. Bagavathi Sivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Bagavathi Sivakumar. 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 P. Bagavathi Sivakumar. The network helps show where P. Bagavathi Sivakumar may publish in the future.

Co-authorship network of co-authors of P. Bagavathi Sivakumar

This figure shows the co-authorship network connecting the top 25 collaborators of P. Bagavathi Sivakumar. A scholar is included among the top collaborators of P. Bagavathi Sivakumar 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 P. Bagavathi Sivakumar. P. Bagavathi Sivakumar 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 8
2 0
3 5
4 0
5 6
6 7
7 0
8 1
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10 11
11 0
12 20
13 3
14 3
15 2
16 22
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Performance Analysis of Hybrid Forecasting models with Traditional ARIMA Models - A Case Study on Financial Time Series Data
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18 6
19
Agricultural labour migration vis-a-vis rural-urban linkages.
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20 2

About P. Bagavathi Sivakumar

P. Bagavathi Sivakumar is a scholar working on Safety, Risk, Reliability and Quality, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 683 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (7 papers), Water Quality Monitoring Technologies (5 papers) and Smart Parking Systems Research (5 papers). The work is most often cited by research in Water Science and Technology (85 citations), Safety, Risk, Reliability and Quality (46 citations) and Communication (34 citations). P. Bagavathi Sivakumar has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include S. Palanivel, V. Ramalingam, V. Ramya, K. Rajan, Boby George, Anand Kumar Pandey, Anuradha Kumari, Robert M. Cox, P. Aruna and Aaron M. Williams. Their work appears in journals such as Expert Systems with Applications, Sensors and SAE technical papers on CD-ROM/SAE technical paper series.

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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