# Central University of Rajasthan

**Type:** Institutions  
**Canonical URL:** https://picoportal.org/library/institutions/central-university-of-rajasthan/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 18 |
| Citations | 173,555 |
| City | Ajmer |
| Country | IN |
| Description | Central University of Rajasthan is a research organisation in Ajmer, IN. OpenAlex records 14,617 works and 173,555 citations for it. 1,438 researchers list it as their most recent affiliation. |
| Homepage | https://www.curaj.ac.in |
| OpenAlex ID | https://openalex.org/I76777374 |
| Region | Rajasthan |
| Researchers | 1,438 |
| ROR ID | https://ror.org/056y7zx62 |
| Type | education |
| Works | 14,617 |

## University papers

- [Stroke prediction using artificial intelligence](https://picoportal.org/library/papers/stroke-prediction-using-artificial-intelligence/)
- [Segmentation and classification on chest radiography: a systematic survey](https://picoportal.org/library/papers/segmentation-and-classification-on-chest-radiography-a-systematic-survey/)
- [FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images](https://picoportal.org/library/papers/focuscovid-automated-covid-19-detection-using-deep-learning-with-chest-x-ray/)
- [Image annotation: Then and now](https://picoportal.org/library/papers/image-annotation-then-and-now/)
- [RETRACTED: <scp>MultiFeNet</scp> : Multi‐scale feature scaling in deep neural network for the brain tumour classification in <scp>MRI</scp> images](https://picoportal.org/library/papers/retracted-scp-multifenet-scp-multi-scale-feature-scaling-in-deep-neural-network/)
- [A comparative study for brain tumor detection in MRI images using texture features](https://picoportal.org/library/papers/a-comparative-study-for-brain-tumor-detection-in-mri-images-using-texture/)
- [A Comparative Analysis for Various Stroke Prediction Techniques](https://picoportal.org/library/papers/a-comparative-analysis-for-various-stroke-prediction-techniques/)
- [Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network](https://picoportal.org/library/papers/bangla-meitei-mayek-scripts-handwritten-character-recognition-using/)
- [An Integrated Machine Learning Approach for Congestive Heart Failure Prediction](https://picoportal.org/library/papers/an-integrated-machine-learning-approach-for-congestive-heart-failure-prediction/)
- [A comparative study of brain tumor classification on unbalanced dataset using deep neural networks](https://picoportal.org/library/papers/a-comparative-study-of-brain-tumor-classification-on-unbalanced-dataset-using/)
- [Enhanced residual-attention deep neural network for disease classification in maize leaf images](https://picoportal.org/library/papers/enhanced-residual-attention-deep-neural-network-for-disease-classification-in/)

## University researchers

- [Prakash Choudhary](https://picoportal.org/library/researchers/prakash-choudhary/)

## University top topics

Showing 8 of 25.

- [Organic and Molecular Conductors Research](https://picoportal.org/library/topics/organic-and-molecular-conductors-research/)
- [Organometallic Compounds Synthesis and Characterization](https://picoportal.org/library/topics/organometallic-compounds-synthesis-and-characterization/)
- [Synthesis and Reactions of Organic Compounds](https://picoportal.org/library/topics/synthesis-and-reactions-of-organic-compounds/)
- [Ferrocene Chemistry and Applications](https://picoportal.org/library/topics/ferrocene-chemistry-and-applications/)
- [Crystal structures of chemical compounds](https://picoportal.org/library/topics/crystal-structures-of-chemical-compounds/)
- [Synthesis and Reactivity of Sulfur-Containing Compounds](https://picoportal.org/library/topics/synthesis-and-reactivity-of-sulfur-containing-compounds/)
- [Metal complexes synthesis and properties](https://picoportal.org/library/topics/metal-complexes-synthesis-and-properties/)
- [Magnetism in coordination complexes](https://picoportal.org/library/topics/magnetism-in-coordination-complexes/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.