# Bangalore University

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/bangalore-university/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 25 |
| Citations | 339,854 |
| City | Bengaluru |
| Country | IN |
| Description | Bangalore University is a research organisation in Bengaluru, IN. OpenAlex records 12,788 works and 339,854 citations for it. 4,696 researchers list it as their most recent affiliation. |
| Homepage | http://bangaloreuniversity.ac.in/ |
| OpenAlex ID | https://openalex.org/I53465836 |
| Region | Karnataka |
| Researchers | 4,696 |
| ROR ID | https://ror.org/050j2vm64 |
| Type | education |
| Wikidata ID | Q3519221 |
| Works | 12,788 |

## University papers

Showing 12 of 20.

- [Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier](https://scholariq.org/papers/aspect-term-extraction-for-sentiment-analysis-in-large-movie-reviews-using-gini/)
- [A novel sentiment aware dictionary for multi-domain sentiment classification](https://scholariq.org/papers/a-novel-sentiment-aware-dictionary-for-multi-domain-sentiment-classification/)
- [Dynamic Association Rule Mining using Genetic Algorithms](https://scholariq.org/papers/dynamic-association-rule-mining-using-genetic-algorithms/)
- [HOMS: Hindi opinion mining system](https://scholariq.org/papers/homs-hindi-opinion-mining-system/)
- [ERCR TV: Ensemble of Random Committee and Random Tree for Efficient Anomaly Classification Using Voting](https://scholariq.org/papers/ercr-tv-ensemble-of-random-committee-and-random-tree-for-efficient-anomaly/)
- [A Machine Learning Framework for Assessment of Cognitive and Functional Impairments in Alzheimer's Disease: Data Preprocessing and Analysis](https://scholariq.org/papers/a-machine-learning-framework-for-assessment-of-cognitive-and-functional/)
- [Classification of Neurodegenerative Disorders Based on Major Risk Factors Employing Machine Learning Techniques](https://scholariq.org/papers/classification-of-neurodegenerative-disorders-based-on-major-risk-factors/)
- [An Efficient Prediction Model for Diabetic Database Using Soft Computing Techniques](https://scholariq.org/papers/an-efficient-prediction-model-for-diabetic-database-using-soft-computing/)
- [Classification of email using BeaKS: Behavior and keyword stemming](https://scholariq.org/papers/classification-of-email-using-beaks-behavior-and-keyword-stemming/)
- [Heartbeat biometrics for human authentication](https://scholariq.org/papers/heartbeat-biometrics-for-human-authentication/)
- [Coffee Plant Disease Identification using Enhanced Short Learning EfficientNetV2](https://scholariq.org/papers/coffee-plant-disease-identification-using-enhanced-short-learning-efficientnetv2/)
- [Detection of Coffee Leaf Diseases using DenseNet-264 and SLIC Segmentation](https://scholariq.org/papers/detection-of-coffee-leaf-diseases-using-densenet-264-and-slic-segmentation/)

## University researchers

- [P. Deepa Shenoy](https://scholariq.org/researchers/p-deepa-shenoy/)
- [Savitri Kulkarni](https://scholariq.org/researchers/savitri-kulkarni/)

## University top topics

Showing 8 of 24.

- [Nanofluid Flow and Heat Transfer](https://scholariq.org/topics/nanofluid-flow-and-heat-transfer/)
- [Luminescence Properties of Advanced Materials](https://scholariq.org/topics/luminescence-properties-of-advanced-materials/)
- [Glass properties and applications](https://scholariq.org/topics/glass-properties-and-applications/)
- [Synthesis and biological activity](https://scholariq.org/topics/synthesis-and-biological-activity/)
- [Fluid Dynamics and Turbulent Flows](https://scholariq.org/topics/fluid-dynamics-and-turbulent-flows/)
- [Chemical Synthesis and Analysis](https://scholariq.org/topics/chemical-synthesis-and-analysis/)
- [Advanced Photocatalysis Techniques](https://scholariq.org/topics/advanced-photocatalysis-techniques/)
- [Chemical Synthesis and Reactions](https://scholariq.org/topics/chemical-synthesis-and-reactions/)

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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.