R. Nagarajan
About
In The Last Decade
R. Nagarajan
103 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 649
- Experimental and Cognitive Psychology 358
- Computer Vision and Pattern Recognition 259
- Human-Computer Interaction 256
- Signal Processing 128
Countries citing papers authored by R. Nagarajan
This map shows the geographic impact of R. Nagarajan'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 R. Nagarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Nagarajan more than expected).
Fields of papers citing papers by R. Nagarajan
This network shows the impact of papers produced by R. Nagarajan. 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 R. Nagarajan. The network helps show where R. Nagarajan may publish in the future.
Co-authorship network of co-authors of R. Nagarajan
This figure shows the co-authorship network connecting the top 25 collaborators of R. Nagarajan. A scholar is included among the top collaborators of R. Nagarajan 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 R. Nagarajan. R. Nagarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Efficient Feature Selection with Weighted Extreme Learning Machine for Water Quality Prediction and Classification Model | 3 |
| 2 | 1 | |
| 3 | 22 | |
| 4 | Isolation Forest With Optimal Adaptive Neuro-Fuzzy Inference System Based Water Quality Prediction and Classification Model | 1 |
| 5 | 1 | |
| 6 | 10 | |
| 7 | An Analysis of the Effect of EEG Frequency Bands on the Classification of Motor Imagery Signals | 10 |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG | 24 |
| 13 | EEG feature extraction for classifying emotions using FCM and FKM | 106 |
| 14 | Wearable Real-Time Stereo Vision for the Visually Impaired | 55 |
| 15 | Acoustic emission monitoring during turning of metal matrix composite and tool wear | 5 |
| 16 | 3 | |
| 17 | Classification of the marking on integrated circuit chips based on moments and projection profile - a comparison | 1 |
| 18 | 4 | |
| 19 | Object Identification and Colour Recognition for Human Blind. | 0 |
| 20 | DECISION MAKING USING MODIFIED S-CURVE MEMBERSHIP FUNCTION IN FUZZY LINEAR PROGRAMMING PROBLEM | 24 |
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.