# Indian Institute of Technology Jodhpur

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

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 35.3 |
| Citations | 215,723 |
| City | Jodhpur |
| Country | IN |
| Description | Indian Institute of Technology Jodhpur is a research organisation in Jodhpur, IN. OpenAlex records 9,052 works and 215,723 citations for it. 2,542 researchers list it as their most recent affiliation. |
| Homepage | https://iitj.ac.in |
| OpenAlex ID | https://openalex.org/I154549908 |
| Region | Rajasthan |
| Researchers | 2,542 |
| ROR ID | https://ror.org/03yacj906 |
| Type | education |
| Works | 9,052 |

## University papers

- [Autism as a disorder of prediction](https://scholariq.org/papers/autism-as-a-disorder-of-prediction/)
- [Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021](https://scholariq.org/papers/global-regional-and-national-incidence-and-mortality-burden-of-non-covid-19/)
- [Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices](https://scholariq.org/papers/deep-transfer-learning-based-automated-detection-of-covid-19-from-lung-ct-scan/)
- [A comparative study of wavelet families for EEG signal classification](https://scholariq.org/papers/a-comparative-study-of-wavelet-families-for-eeg-signal-classification/)
- [The newly sighted fail to match seen with felt](https://scholariq.org/papers/the-newly-sighted-fail-to-match-seen-with-felt/)
- [Tiering Drug-Drug Interaction Alerts by Severity Increases Compliance Rates](https://scholariq.org/papers/tiering-drug-drug-interaction-alerts-by-severity-increases-compliance-rates/)
- [Deep convolutional neural networks with transfer learning for automated brain image classification](https://scholariq.org/papers/deep-convolutional-neural-networks-with-transfer-learning-for-automated-brain/)
- [A novel robust diagnostic model to detect seizures in electroencephalography](https://scholariq.org/papers/a-novel-robust-diagnostic-model-to-detect-seizures-in-electroencephalography/)
- [Automated Brain Image Classification Based on VGG-16 and Transfer Learning](https://scholariq.org/papers/automated-brain-image-classification-based-on-vgg-16-and-transfer-learning/)
- [Classification of EEG signal using wavelet transform and support vector machine for epileptic seizure diction](https://scholariq.org/papers/classification-of-eeg-signal-using-wavelet-transform-and-support-vector-machine/)
- [Expert model for detection of epileptic activity in EEG signature](https://scholariq.org/papers/expert-model-for-detection-of-epileptic-activity-in-eeg-signature/)
- [Stereopsis following surgery in children with congenital and developmental cataracts: A systematic review and meta-analysis](https://scholariq.org/papers/stereopsis-following-surgery-in-children-with-congenital-and-developmental/)

## University researchers

- [Tapan Kumar Gandhi](https://scholariq.org/researchers/tapan-kumar-gandhi/)

## University top topics

Showing 8 of 25.

- [Gas Sensing Nanomaterials and Sensors](https://scholariq.org/topics/gas-sensing-nanomaterials-and-sensors/)
- [Welding Techniques and Residual Stresses](https://scholariq.org/topics/welding-techniques-and-residual-stresses/)
- [Quantum Information and Cryptography](https://scholariq.org/topics/quantum-information-and-cryptography/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Advanced Sensor and Energy Harvesting Materials](https://scholariq.org/topics/advanced-sensor-and-energy-harvesting-materials/)
- [2D Materials and Applications](https://scholariq.org/topics/2d-materials-and-applications/)
- [Quantum Mechanics and Applications](https://scholariq.org/topics/quantum-mechanics-and-applications/)
- [Advancements in Battery Materials](https://scholariq.org/topics/advancements-in-battery-materials/)

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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.