P. Ravisankar

720 citations
5 papers · 524 · 1 hit paper · h-index 4

Impact in

  • Accounting top 5%
    • Financial Distress and Bankruptcy Prediction
    • Auditing, Earnings Management, Governance
    • Imbalanced Data Classification Techniques
    • Evolutionary Algorithms and Applications

Papers in

P. Ravisankar

5 papers receiving 483 citations

P. Ravisankar's Hit Papers

Detection of financial statement fraud and feature selection using data mining techniques 2010 · 388 citations
3880+5+10Years since publication100200300

Peers

P. Ravisankar
Comparison fields: 5 of 74
  • Accounting 298
  • Artificial Intelligence 347
  • Management Science and Operations Research 129
  • Finance 42
  • Information Systems 79
Replace Ming-Fu Hsu with:
Ming-Fu Hsu Taiwan
Efstathios Kirkos Greece
Maumita Bhattacharya Australia
Véronique Van Vlasselaer Belgium
Yakup Selvı Türkiye
João Carvalho das Neves Portugal
Vijay S. Desai United States
Ana I. Marqués Spain
Pamela K. Coats United States
Jarrod West Australia
P. Ravisankar relative to Ming-Fu Hsu Taiwan Ming-Fu Hsu's profile →
Citations per field
00.5×1.5×2.0×
Ming-Fu Hsu · 1×
Citations per year

Countries citing papers authored by P. Ravisankar

Since Specialization
Citations

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

Fields of papers citing papers by P. Ravisankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside P. Ravisankar, 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 P. Ravisankar Line = papers co-authored together P. Ravisankar links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About P. Ravisankar

P. Ravisankar is a scholar working on Artificial Intelligence, Accounting, Management Science and Operations Research, Information Systems and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 524 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (4 papers), Financial Distress and Bankruptcy Prediction (3 papers), Stock Market Forecasting Methods (2 papers), Sports, Gender, and Society (1 paper), Rough Sets and Fuzzy Logic (1 paper), Video Analysis and Summarization (1 paper), Neural Networks and Applications (1 paper) and Sports Analytics and Performance (1 paper). The work is most often cited by research in Accounting (298 citations), Artificial Intelligence (347 citations), Management Science and Operations Research (129 citations), Finance (42 citations) and Information Systems (79 citations). P. Ravisankar has collaborated with scholars based in India and Hong Kong. Frequent co-authors include Vadlamani Ravi and Indranil Bose. Their work appears in journals such as Information Sciences, Decision Support Systems, Knowledge-Based Systems and SHILAP Revista de lepidopterología.

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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