# Maharishi Markandeshwar University, Mullana

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/maharishi-markandeshwar-university-mullana/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 3.5 |
| Citations | 205,100 |
| City | Ambāla |
| Country | IN |
| Description | Maharishi Markandeshwar University, Mullana is a research organisation in Ambāla, IN. OpenAlex records 10,009 works and 205,100 citations for it. 3,767 researchers list it as their most recent affiliation. |
| Homepage | http://www.mmumullana.org/ |
| OpenAlex ID | https://openalex.org/I155284866 |
| Region | Haryana |
| Researchers | 3,767 |
| ROR ID | https://ror.org/013qfkw58 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q6733405 |
| Works | 10,009 |

## University papers

Showing 12 of 21.

- [Adaptive and Dynamic Load Balancing in Grid Using Ant Colony Optimization](https://scholariq.org/papers/adaptive-and-dynamic-load-balancing-in-grid-using-ant-colony-optimization/)
- [System Model for Prediction Analytics Using K-Nearest Neighbors Algorithm](https://scholariq.org/papers/system-model-for-prediction-analytics-using-k-nearest-neighbors-algorithm/)
- [Land use and Land Cover mapping using digital classification technique in Tikamgarh district, Madhya Pradesh, India using Remote Sensing](https://scholariq.org/papers/land-use-and-land-cover-mapping-using-digital-classification-technique-in/)
- [A Basic Simulation of ACO Algorithm Under Cloud Computing for Fault Tolerant](https://scholariq.org/papers/a-basic-simulation-of-aco-algorithm-under-cloud-computing-for-fault-tolerant/)
- [Analysis of Android malwares and their detection techniques](https://scholariq.org/papers/analysis-of-android-malwares-and-their-detection-techniques/)
- [NaISEP: Neighborhood Aware Clustering Protocol for WSN Assisted IOT Network for Agricultural Application](https://scholariq.org/papers/naisep-neighborhood-aware-clustering-protocol-for-wsn-assisted-iot-network-for/)
- [Enhanced Genetic Algorithm Based Load Balancing in Grid](https://scholariq.org/papers/enhanced-genetic-algorithm-based-load-balancing-in-grid/)
- [Support Vector Machine Technique to Prognosis Breast Cancer](https://scholariq.org/papers/support-vector-machine-technique-to-prognosis-breast-cancer/)
- [Artificial Intelligence on the Move: A Revolutionary Technology](https://scholariq.org/papers/artificial-intelligence-on-the-move-a-revolutionary-technology/)
- [A Hybrid Model for Android Malware Detection](https://scholariq.org/papers/a-hybrid-model-for-android-malware-detection/)
- [Hybrid CNN-Random Forest Framework for Elevated Accuracy in Powdery Mildew Disease Classification](https://scholariq.org/papers/hybrid-cnn-random-forest-framework-for-elevated-accuracy-in-powdery-mildew/)
- [Comparative Analysis of an AI-enabled State-of-the-Art Models for the Detection of DDoS Attacks on IoT Devices](https://scholariq.org/papers/comparative-analysis-of-an-ai-enabled-state-of-the-art-models-for-the-detection/)

## University researchers

- [Sandip Kumar Goyal](https://scholariq.org/researchers/sandip-kumar-goyal/)
- [Bhupesh Gupta](https://scholariq.org/researchers/bhupesh-gupta/)

## University top topics

Showing 8 of 24.

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Synthesis and biological activity](https://scholariq.org/topics/synthesis-and-biological-activity/)
- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Natural Antidiabetic Agents Studies](https://scholariq.org/topics/natural-antidiabetic-agents-studies/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Phytochemicals and Antioxidant Activities](https://scholariq.org/topics/phytochemicals-and-antioxidant-activities/)

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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.