# Indian Institute of Science Bangalore

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

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 52.7 |
| Citations | 4,380,848 |
| City | Bengaluru |
| Country | IN |
| Description | Indian Institute of Science Bangalore is a research organisation in Bengaluru, IN. OpenAlex records 90,400 works and 4,380,848 citations for it. 14,376 researchers list it as their most recent affiliation. |
| Homepage | http://www.iisc.ernet.in/ |
| OpenAlex ID | https://openalex.org/I59270414 |
| Researchers | 14,376 |
| ROR ID | https://ror.org/04dese585 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q948720 |
| Works | 90,400 |

## University papers

- [Computer Assisted Objective Assessment of Micro-Neurosurgical Skills From Intraoperative Videos](https://scholariq.org/papers/computer-assisted-objective-assessment-of-micro-neurosurgical-skills-from/)
- [Automated Microsurgical Tool Segmentation and Characterization in Intra-Operative Neurosurgical Videos](https://scholariq.org/papers/automated-microsurgical-tool-segmentation-and-characterization-in-intra/)
- [Surface EMG signal classification for unsupervised musical keyboard learning application](https://scholariq.org/papers/surface-emg-signal-classification-for-unsupervised-musical-keyboard-learning/)
- [Deep Learning based Automated Screening for Intracranial Hemorrhages and GRAD-CAM Visualizations on Non-Contrast Head Computed Tomography Volumes](https://scholariq.org/papers/deep-learning-based-automated-screening-for-intracranial-hemorrhages-and-grad/)
- [Autonomous Neuro-Navigation System for Neurosurgical Robotics](https://scholariq.org/papers/autonomous-neuro-navigation-system-for-neurosurgical-robotics/)
- [System Design of an Automated Drilling Device for Neurosurgical Applications](https://scholariq.org/papers/system-design-of-an-automated-drilling-device-for-neurosurgical-applications/)
- [Introducing SSBD+ Dataset with a Convolutional Pipeline for Detecting Self-Stimulatory Behaviours in Children Using Raw Videos](https://scholariq.org/papers/introducing-ssbd-dataset-with-a-convolutional-pipeline-for-detecting-self/)
- [Automation of Cataloging an Abnormal Condition of Glaucoma Using Fundas Image of the Retina](https://scholariq.org/papers/automation-of-cataloging-an-abnormal-condition-of-glaucoma-using-fundas-image-of/)
- [Artificial Intelligence Techniques Used to Detect Object and Face in an Image: A Review](https://scholariq.org/papers/artificial-intelligence-techniques-used-to-detect-object-and-face-in-an-image-a/)
- [Automated detection of lacunes in brain MR images using SAM with robust prompts using self-distillation and anatomy-informed priors](https://scholariq.org/papers/automated-detection-of-lacunes-in-brain-mr-images-using-sam-with-robust-prompts/)

## University researchers

- [Pon Deepika](https://scholariq.org/researchers/pon-deepika/)

## University top topics

Showing 8 of 25.

- [Fluid Dynamics and Turbulent Flows](https://scholariq.org/topics/fluid-dynamics-and-turbulent-flows/)
- [Particle physics theoretical and experimental studies](https://scholariq.org/topics/particle-physics-theoretical-and-experimental-studies/)
- [Protein Structure and Dynamics](https://scholariq.org/topics/protein-structure-and-dynamics/)
- [RNA and protein synthesis mechanisms](https://scholariq.org/topics/rna-and-protein-synthesis-mechanisms/)
- [Magnetic and transport properties of perovskites and related materials](https://scholariq.org/topics/magnetic-and-transport-properties-of-perovskites-and-related-materials/)
- [Advanced Condensed Matter Physics](https://scholariq.org/topics/advanced-condensed-matter-physics/)
- [Graphene research and applications](https://scholariq.org/topics/graphene-research-and-applications/)
- [Spectroscopy and Quantum Chemical Studies](https://scholariq.org/topics/spectroscopy-and-quantum-chemical-studies/)

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