Binoy B. Nair
- Mechanical Engineering top 10%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- N.R. SakthivelV. SugumaranM. ElangovanK.I. RamachandranRahulS AdarshK. RameshkumarA. Sumesh
- Topics
- Stock Market Forecasting Methods (16 papers)Complex Systems and Time Series Analysis (9 papers)Energy Load and Power Forecasting (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Binoy B. Nair
56 papers receiving 860 citations
Peers
Comparison fields: 5 of 99
- Mechanical Engineering 252
- Management Science and Operations Research 232
- Control and Systems Engineering 216
- Electrical and Electronic Engineering 200
- Artificial Intelligence 134
Countries citing papers authored by Binoy B. Nair
This map shows the geographic impact of Binoy B. Nair'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 Binoy B. Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binoy B. Nair more than expected).
Fields of papers citing papers by Binoy B. Nair
This network shows the impact of papers produced by Binoy B. Nair. 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 Binoy B. Nair. The network helps show where Binoy B. Nair may publish in the future.
Co-authorship network of co-authors of Binoy B. Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Binoy B. Nair. A scholar is included among the top collaborators of Binoy B. Nair 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 Binoy B. Nair. Binoy B. Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | Forecasting short-term stock prices using sentiment analysis and Artificial Neural Networks | 2 |
| 12 | EFFECT OF KERNEL FUNCTION IN SUPPORT VECTOR MACHINE FOR THE FAULT DIAGNOSIS OF PUMP | 5 |
| 13 | 18 | |
| 14 | A GA-optimized SAX- ANN based Stock Level Prediction System | 2 |
| 15 | Improving returns from the Markowitz model using GA- An empirical validation on the BSE | 1 |
| 16 | Application of hybrid adaptive filters for stock market prediction | 9 |
| 17 | A Genetic Algorithm Optimized Decision Tree- SVM based Stock Market Trend Prediction System | 30 |
| 18 | 63 | |
| 19 | 23 | |
| 20 | 16 |
About Binoy B. Nair
Binoy B. Nair is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 932 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (16 papers), Complex Systems and Time Series Analysis (9 papers) and Energy Load and Power Forecasting (8 papers). The work is most often cited by research in Management Science and Operations Research (232 citations), Control and Systems Engineering (216 citations) and Finance (71 citations). Binoy B. Nair has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include N.R. Sakthivel, V. Sugumaran, M. Elangovan, K.I. Ramachandran, Rahul, S Adarsh, K. Rameshkumar, A. Sumesh, Pankaj Kumar and Avinash Ravi Raja. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.