# Indira Gandhi Institute of Technology

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/indira-gandhi-institute-of-technology/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 25 |
| Citations | 44,921 |
| City | Tālcher |
| Country | IN |
| Description | Indira Gandhi Institute of Technology is a research organisation in Tālcher, IN. OpenAlex records 2,757 works and 44,921 citations for it. 889 researchers list it as their most recent affiliation. |
| Homepage | https://igitsarang.ac.in |
| OpenAlex ID | https://openalex.org/I20791572 |
| Region | Odisha |
| Researchers | 889 |
| ROR ID | https://ror.org/0010jkx06 |
| Type | education |
| Works | 2,757 |

## University papers

- [Technological revolutions in smart farming: Current trends, challenges & future directions](https://scholariq.org/papers/technological-revolutions-in-smart-farming-current-trends-challenges-and-amp/)
- [A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets](https://scholariq.org/papers/a-comprehensive-survey-of-image-segmentation-clustering-methods-performance/)
- [An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm](https://scholariq.org/papers/an-optimum-multi-level-image-thresholding-segmentation-using-non-local-means-2d/)
- [DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection](https://scholariq.org/papers/dlmc-net-deeper-lightweight-multi-class-classification-model-for-plant-leaf/)
- [Gravitational search algorithm: a comprehensive analysis of recent variants](https://scholariq.org/papers/gravitational-search-algorithm-a-comprehensive-analysis-of-recent-variants/)
- [Chaotic Kbest gravitational search algorithm (CKGSA)](https://scholariq.org/papers/chaotic-kbest-gravitational-search-algorithm-ckgsa/)
- [SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis](https://scholariq.org/papers/soyatrans-a-novel-transformer-model-for-fine-grained-visual-classification-of/)
- [An automatic nuclei segmentation method using intelligent gravitational search algorithm based superpixel clustering](https://scholariq.org/papers/an-automatic-nuclei-segmentation-method-using-intelligent-gravitational-search/)
- [From classical to soft computing based watermarking techniques: A comprehensive review](https://scholariq.org/papers/from-classical-to-soft-computing-based-watermarking-techniques-a-comprehensive/)
- [Image Captioning using Google's Inception-resnet-v2 and Recurrent Neural Network](https://scholariq.org/papers/image-captioning-using-google-s-inception-resnet-v2-and-recurrent-neural-network/)
- [CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases](https://scholariq.org/papers/clda-net-a-novel-citrus-leaf-disease-attention-network-for-early-identification/)

## University researchers

- [Himanshu Mittal](https://scholariq.org/researchers/himanshu-mittal/)

## University top topics

Showing 8 of 24.

- [Microgrid Control and Optimization](https://scholariq.org/topics/microgrid-control-and-optimization/)
- [Cosmology and Gravitation Theories](https://scholariq.org/topics/cosmology-and-gravitation-theories/)
- [Multilevel Inverters and Converters](https://scholariq.org/topics/multilevel-inverters-and-converters/)
- [Aluminum Alloys Composites Properties](https://scholariq.org/topics/aluminum-alloys-composites-properties/)
- [Mobile Ad Hoc Networks](https://scholariq.org/topics/mobile-ad-hoc-networks/)
- [Photovoltaic System Optimization Techniques](https://scholariq.org/topics/photovoltaic-system-optimization-techniques/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)
- [Antenna Design and Analysis](https://scholariq.org/topics/antenna-design-and-analysis/)

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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.