Bavani Arunasalam

497 citations
9 papers · 304 indexed · h-index 8
Topics
Data Mining Algorithms and Applications (5 papers)Rough Sets and Fuzzy Logic (3 papers)Imbalanced Data Classification Techniques (2 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Electronic CommerceIT Professional
Partner nations
AustraliaUnited States

In The Last Decade

Bavani Arunasalam

9 papers receiving 276 citations

Peers

Bavani Arunasalam
Comparison fields: 5 of 76
  • Artificial Intelligence 127
  • Information Systems 88
  • Management Information Systems 75
  • Computer Networks and Communications 55
  • Signal Processing 45
Replace Günter Müller with:
Günter Müller Germany
Subhash Bhalla Japan
John R. Talburt United States
Adam G.M. Pazdor Canada
Amira M. Idrees Egypt
Pritheega Magalingam Malaysia
A. Carlisle Scott United States
Henrik Eriksson Sweden
Kurt Thearling United States
Cheng-Hsiung Weng Taiwan
Bavani Arunasalam relative to Günter Müller Germany Günter Müller's profile →
Citations per field
00.5×1.7×
Günter Müller · 1×
Citations per year

Countries citing papers authored by Bavani Arunasalam

Since Specialization
Citations

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

Fields of papers citing papers by Bavani Arunasalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bavani Arunasalam

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

All Works

About Bavani Arunasalam

Bavani Arunasalam is a scholar working on Information Systems, Computational Theory and Mathematics and Signal Processing, having authored 9 papers that have together received 304 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Health Information Management (43 citations), Management Information Systems (75 citations) and Signal Processing (45 citations). Bavani Arunasalam has collaborated with scholars based in Australia and United States. Frequent co-authors include Uma Srinivasan, Sanjay Chawla, Pei Sun, Joseph G. Davis, Cécile Paris, Henry Leung, Simon Poon and Gaurav Pandey. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Electronic Commerce and IT Professional.

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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