# University of Roehampton

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

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 23.5 |
| Citations | 298,110 |
| City | London |
| Country | GB |
| Description | University of Roehampton is a research organisation in London, GB. OpenAlex records 10,604 works and 298,110 citations for it. 1,310 researchers list it as their most recent affiliation. |
| Homepage | http://www.roehampton.ac.uk/home/ |
| OpenAlex ID | https://openalex.org/I877107187 |
| Researchers | 1,310 |
| ROR ID | https://ror.org/043071f54 |
| Type | education |
| Wikidata ID | https://www.wikidata.org/wiki/Q939607 |
| Works | 10,604 |

## University papers

- [Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art](https://scholariq.org/papers/deep-learning-techniques-for-skin-lesion-analysis-and-melanoma-cancer-detection/)
- [Deep Learning-Based System for Automatic Melanoma Detection](https://scholariq.org/papers/deep-learning-based-system-for-automatic-melanoma-detection/)
- [FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images](https://scholariq.org/papers/fcn-based-densenet-framework-for-automated-detection-and-classification-of-skin/)
- [Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis](https://scholariq.org/papers/review-of-deep-learning-methods-for-remote-sensing-satellite-images/)
- [Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition](https://scholariq.org/papers/long-short-term-memory-recurrent-neural-network-for-automatic-speech-recognition/)
- [An enhanced speech emotion recognition using vision transformer](https://scholariq.org/papers/an-enhanced-speech-emotion-recognition-using-vision-transformer/)
- [Deep Learning Approach for Medical Image Analysis](https://scholariq.org/papers/deep-learning-approach-for-medical-image-analysis/)
- [State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images](https://scholariq.org/papers/state-of-the-art-deep-learning-methods-for-objects-detection-in-remote-sensing/)
- [Lightweight Deep Learning Framework for Speech Emotion Recognition](https://scholariq.org/papers/lightweight-deep-learning-framework-for-speech-emotion-recognition/)
- [Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy](https://scholariq.org/papers/application-of-data-mining-algorithms-for-feature-selection-and-prediction-of/)
- [mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world](https://scholariq.org/papers/mpd-app-a-mobile-enabled-plant-diseases-diagnosis-application-using/)

## University researchers

- [Adekanmi Adeyinka Adegun](https://scholariq.org/researchers/adekanmi-adeyinka-adegun/)

## University top topics

Showing 8 of 20.

- [Early Childhood Education and Development](https://scholariq.org/topics/early-childhood-education-and-development/)
- [Primate Behavior and Ecology](https://scholariq.org/topics/primate-behavior-and-ecology/)
- [Psychotherapy Techniques and Applications](https://scholariq.org/topics/psychotherapy-techniques-and-applications/)
- [Child and Adolescent Psychosocial and Emotional Development](https://scholariq.org/topics/child-and-adolescent-psychosocial-and-emotional-development/)
- [Teacher Education and Leadership Studies](https://scholariq.org/topics/teacher-education-and-leadership-studies/)
- [Animal Behavior and Reproduction](https://scholariq.org/topics/animal-behavior-and-reproduction/)
- [Diversity and Impact of Dance](https://scholariq.org/topics/diversity-and-impact-of-dance/)
- [Diverse Music Education Insights](https://scholariq.org/topics/diverse-music-education-insights/)

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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.