# Tirunelveli Medical College

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/tirunelveli-medical-college/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 5 |
| Citations | 44,376 |
| City | Tirunelveli |
| Country | IN |
| Description | Tirunelveli Medical College is a research organisation in Tirunelveli, IN. OpenAlex records 3,257 works and 44,376 citations for it. 1,756 researchers list it as their most recent affiliation. |
| Homepage | http://tvmc.ac.in/ |
| OpenAlex ID | https://openalex.org/I118826373 |
| Region | Tamil Nadu |
| Researchers | 1,756 |
| ROR ID | https://ror.org/01c4srk95 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q7809372 |
| Works | 3,257 |

## University papers

Showing 12 of 13.

- [GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures](https://scholariq.org/papers/glcm-based-chi-square-histogram-distance-for-automatic-detection-of-defects-on/)
- [Automatic extraction of texture-periodicity using superposition of distance matching functions and their forward differences](https://scholariq.org/papers/automatic-extraction-of-texture-periodicity-using-superposition-of-distance/)
- [Automatic Detection of Texture Defects Using Texture-Periodicity and Gabor Wavelets](https://scholariq.org/papers/automatic-detection-of-texture-defects-using-texture-periodicity-and-gabor/)
- [Forest Fire Detection using Machine Learning](https://scholariq.org/papers/forest-fire-detection-using-machine-learning/)
- [An Improved Hunter-Prey Optimizer-Based DenseNet Model for Classification of Hyper-Spectral Images](https://scholariq.org/papers/an-improved-hunter-prey-optimizer-based-densenet-model-for-classification-of/)
- [IoT based Secure Smart Home Automation System](https://scholariq.org/papers/iot-based-secure-smart-home-automation-system/)
- [Waste to Wealth Generation: Innovative Methodologies in Resource Utilization and Minimization in Circular Economy](https://scholariq.org/papers/waste-to-wealth-generation-innovative-methodologies-in-resource-utilization-and/)
- [Automatic Detection of Texture-defects using Texture-periodicity and Jensen-Shannon Divergence](https://scholariq.org/papers/automatic-detection-of-texture-defects-using-texture-periodicity-and-jensen/)
- [Similarity measures for automatic defect detection on patterned textures](https://scholariq.org/papers/similarity-measures-for-automatic-defect-detection-on-patterned-textures/)
- [Cotton Plant Disease Prediction using Deep Learning](https://scholariq.org/papers/cotton-plant-disease-prediction-using-deep-learning/)
- [An Enhanced Deep Learning Algorithms for Image Recognition and Plant Leaf Disease Detection](https://scholariq.org/papers/an-enhanced-deep-learning-algorithms-for-image-recognition-and-plant-leaf/)
- [Synthetic Image Generation for Crop Disease Classification Using Generative Adversarial Networks](https://scholariq.org/papers/synthetic-image-generation-for-crop-disease-classification-using-generative/)

## University researchers

- [V Asha](https://scholariq.org/researchers/v-asha/)
- [Anciline Jenifer](https://scholariq.org/researchers/anciline-jenifer/)

## University top topics

Showing 8 of 24.

- [Nonlinear Optical Materials Research](https://scholariq.org/topics/nonlinear-optical-materials-research/)
- [Natural Fiber Reinforced Composites](https://scholariq.org/topics/natural-fiber-reinforced-composites/)
- [Aluminum Alloys Composites Properties](https://scholariq.org/topics/aluminum-alloys-composites-properties/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Microgrid Control and Optimization](https://scholariq.org/topics/microgrid-control-and-optimization/)
- [Advanced Photocatalysis Techniques](https://scholariq.org/topics/advanced-photocatalysis-techniques/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Energy Efficient Wireless Sensor Networks](https://scholariq.org/topics/energy-efficient-wireless-sensor-networks/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.