S. Baghavathi Priya

56 total papers · 552 total citations
31 papers, 287 citations indexed

About

S. Baghavathi Priya is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, S. Baghavathi Priya has authored 31 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in S. Baghavathi Priya's work include Data Stream Mining Techniques (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Imbalanced Data Classification Techniques (3 papers). S. Baghavathi Priya is often cited by papers focused on Data Stream Mining Techniques (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Imbalanced Data Classification Techniques (3 papers). S. Baghavathi Priya collaborates with scholars based in India, Switzerland and Thailand. S. Baghavathi Priya's co-authors include R. Annie Uthra, Prabuddha Manjula, Rakesh Kumar Mahendran, T. Ravichandran, Siddhartha Mishra, R.S. Ponmagal, J Shreyas, H L Gururaj, Francesco Flammini and Sambit Satpathy and has published in prestigious journals such as IEEE Access, Computer Communications and Biomedical Signal Processing and Control.

In The Last Decade

S. Baghavathi Priya

28 papers receiving 261 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Baghavathi Priya 109 96 66 58 40 31 287
Hassan Nazeer Chaudhry 87 0.8× 126 1.3× 53 0.8× 76 1.3× 26 0.7× 21 266
S. Prabu 85 0.8× 77 0.8× 74 1.1× 56 1.0× 67 1.7× 25 318
Tauqeer Ahmed 92 0.8× 58 0.6× 112 1.7× 33 0.6× 36 0.9× 22 326
Maha M. Althobaiti 97 0.9× 101 1.1× 40 0.6× 47 0.8× 79 2.0× 25 321
Ayman Taha 86 0.8× 117 1.2× 36 0.5× 34 0.6× 24 0.6× 17 262
B. Amutha 166 1.5× 83 0.9× 90 1.4× 36 0.6× 61 1.5× 51 316
S. Ravikumar 83 0.8× 76 0.8× 43 0.7× 55 0.9× 66 1.6× 25 309
Hasan J. Alyamani 80 0.7× 51 0.5× 43 0.7× 54 0.9× 36 0.9× 26 295
Nihar Ranjan Roy 101 0.9× 70 0.7× 73 1.1× 59 1.0× 51 1.3× 36 307
Mohammed Al‐Maitah 139 1.3× 55 0.6× 55 0.8× 21 0.4× 51 1.3× 28 290

Countries citing papers authored by S. Baghavathi Priya

Since Specialization
Citations

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

Fields of papers citing papers by S. Baghavathi Priya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Baghavathi Priya. 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 S. Baghavathi Priya. The network helps show where S. Baghavathi Priya may publish in the future.

Co-authorship network of co-authors of S. Baghavathi Priya

This figure shows the co-authorship network connecting the top 25 collaborators of S. Baghavathi Priya. A scholar is included among the top collaborators of S. Baghavathi Priya 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 S. Baghavathi Priya. S. Baghavathi Priya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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