# National Institute of Technology Rourkela

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

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 26.7 |
| Citations | 1,004,879 |
| City | Rourkela |
| Country | IN |
| Description | National Institute of Technology Rourkela is a research organisation in Rourkela, IN. OpenAlex records 23,135 works and 1,004,879 citations for it. 4,645 researchers list it as their most recent affiliation. |
| Homepage | https://nitrkl.ac.in |
| OpenAlex ID | https://openalex.org/I16292982 |
| Researchers | 4,645 |
| ROR ID | https://ror.org/011gmn932 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q6973743 |
| Works | 23,135 |

## University papers

- [An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia](https://scholariq.org/papers/an-efficient-deep-convolutional-neural-network-based-detection-and/)
- [An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images](https://scholariq.org/papers/an-efficient-deep-learning-scheme-to-detect-breast-cancer-using-mammogram-and/)
- [High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets](https://scholariq.org/papers/high-accuracy-hybrid-cnn-classifiers-for-breast-cancer-detection-using-mammogram/)
- [A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia](https://scholariq.org/papers/a-systematic-review-on-recent-advancements-in-deep-and-machine-learning-based/)
- [An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders](https://scholariq.org/papers/an-efficient-blood-cell-segmentation-for-the-detection-of-hematological/)
- [An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model](https://scholariq.org/papers/an-efficient-detection-and-classification-of-acute-leukemia-using-transfer/)
- [A Review of Automated Methods for the Detection of Sickle Cell Disease](https://scholariq.org/papers/a-review-of-automated-methods-for-the-detection-of-sickle-cell-disease/)
- [Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms](https://scholariq.org/papers/recent-advancements-in-machine-learning-and-deep-learning-based-breast-cancer/)
- [Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction](https://scholariq.org/papers/detection-of-moving-objects-using-fuzzy-color-difference-histogram-based/)
- [A lightweight deep learning system for automatic detection of blood cancer](https://scholariq.org/papers/a-lightweight-deep-learning-system-for-automatic-detection-of-blood-cancer/)
- [Image Encryption Using Improved Chaotic Map](https://scholariq.org/papers/image-encryption-using-improved-chaotic-map/)
- [Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Detection](https://scholariq.org/papers/hybrid-deep-learning-framework-for-multi-class-plant-disease-classification-and/)

## University researchers

- [Sukadev Meher](https://scholariq.org/researchers/sukadev-meher/)
- [Shova Dilla](https://scholariq.org/researchers/shova-dilla/)

## University top topics

Showing 8 of 25.

- [Microgrid Control and Optimization](https://scholariq.org/topics/microgrid-control-and-optimization/)
- [Composite Structure Analysis and Optimization](https://scholariq.org/topics/composite-structure-analysis-and-optimization/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)
- [Ferroelectric and Piezoelectric Materials](https://scholariq.org/topics/ferroelectric-and-piezoelectric-materials/)
- [Fractional Differential Equations Solutions](https://scholariq.org/topics/fractional-differential-equations-solutions/)
- [Advanced Machining and Optimization Techniques](https://scholariq.org/topics/advanced-machining-and-optimization-techniques/)
- [Multiferroics and related materials](https://scholariq.org/topics/multiferroics-and-related-materials/)
- [Multilevel Inverters and Converters](https://scholariq.org/topics/multilevel-inverters-and-converters/)

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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.
