Indranil Bose
- Artificial Intelligence top 5%
- Accounting top 5%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Marketing top 10%
- Co-authors
- Vadlamani RaviP. RavisankarM.A.H. FarquadXi ChenNancy J. LightnerGavriel SalvendyAdrija MajumdarHsing Kenneth Cheng
- Topics
- Imbalanced Data Classification Techniques (6 papers)Data Mining Algorithms and Applications (4 papers)Stock Market Forecasting Methods (3 papers)
In The Last Decade
Indranil Bose
18 papers receiving 751 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 460
- Accounting 309
- Management Science and Operations Research 148
- Information Systems 132
- Marketing 68
Countries citing papers authored by Indranil Bose
This map shows the geographic impact of Indranil Bose'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 Indranil Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indranil Bose more than expected).
Fields of papers citing papers by Indranil Bose
This network shows the impact of papers produced by Indranil Bose. 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 Indranil Bose. The network helps show where Indranil Bose may publish in the future.
Co-authorship network of co-authors of Indranil Bose
This figure shows the co-authorship network connecting the top 25 collaborators of Indranil Bose. A scholar is included among the top collaborators of Indranil Bose 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 Indranil Bose. Indranil Bose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 38 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 139 | |
| 9 | 57 | |
| 10 | Detection of financial statement fraud and feature selection using data mining techniquesbreakdown → | 388 |
| 11 | 3 | |
| 12 | 63 | |
| 13 | An Extension Of Generative Topographic Mapping For Fuzzy Clustering | 1 |
| 14 | Data Mining For Detection Of Financial Statement Fraud In Chinese Companies | 5 |
| 15 | 6 | |
| 16 | Detecting The Migration Of Customers Of Mobile Services Using Fuzzy Clustering | 1 |
| 17 | 1 | |
| 18 | Using Support Vector Machines to Evaluate Financial Fate of Dotcoms | 1 |
| 19 | 3 | |
| 20 | 47 |
About Indranil Bose
Indranil Bose is a scholar working on Marketing, Human Factors and Ergonomics and Accounting, having authored 21 papers that have together received 824 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Data Mining Algorithms and Applications (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Accounting (309 citations), Artificial Intelligence (460 citations) and Management Science and Operations Research (148 citations). Indranil Bose has collaborated with scholars based in India, Hong Kong and China. Frequent co-authors include Vadlamani Ravi, P. Ravisankar, M.A.H. Farquad, Xi Chen, Nancy J. Lightner, Gavriel Salvendy, Adrija Majumdar, Hsing Kenneth Cheng, Anima Pramanik and Xi Chen. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Information Sciences.
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.