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University of Roehampton

InstitutionResearch output, impact & collaborations

University of Roehampton is a institution indexed in ScholarIQ from OpenAlex.

What is known about University of Roehampton?

ScholarIQrecord summary

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.

How many works does University of Roehampton have?

ScholarIQindexed works

University of Roehampton has 10,604 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does University of Roehampton have?

ScholarIQcitation count

University of Roehampton has 298,110 citations in the OpenAlex counts ScholarIQ stores.

How many researchers are at University of Roehampton?

ScholarIQresearcher count

University of Roehampton has 1,310 researchers in the ScholarIQ index.

What is the average h-index at University of Roehampton?

ScholarIQavg h-index

University of Roehampton has an average h-index of 23.5 in OpenAlex.

What is the ROR of University of Roehampton?

ScholarIQror

The ROR for University of Roehampton is on the source record.

What is the OpenAlex record for University of Roehampton?

ScholarIQopenalex

The OpenAlex for University of Roehampton is on the source record.

What is the Wikidata of University of Roehampton?

ScholarIQwikidata

The Wikidata for University of Roehampton is on the source record.

Who are the most-cited researchers behind University of Roehampton?

ScholarIQtop researchers by citations
1
Gill Crozier · Critical Race Theory in Education
106 works32,279 citations
2
Adekanmi Adeyinka Adegun · AI in cancer detection
47 works1,685 citations

What are the most-cited papers on University of Roehampton?

ScholarIQmost cited works
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Adekanmi Adeyinka Adegun, Serestina Viriri
Artificial Intelligence Review. 2020320 Citations
Deep Learning-Based System for Automatic Melanoma Detection
Adekanmi Adeyinka Adegun, Serestina Viriri
IEEE Access. 2019223 CitationsOPEN ACCESS
FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images
Adekanmi Adeyinka Adegun, Serestina Viriri
IEEE Access. 2020208 CitationsOPEN ACCESS
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis
Adekanmi Adeyinka Adegun, Serestina Viriri, Jules‐Raymond Tapamo
Journal Of Big Data. 2023205 CitationsOPEN ACCESS
Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition
Jane Oruh, Serestina Viriri, Adekanmi Adeyinka Adegun
IEEE Access. 2022190 CitationsOPEN ACCESS

How much of the research on University of Roehampton is open access?

ScholarIQopen access share
82%OPEN ACCESS
Gold
73%
Green
0%
Hybrid
9%
Bronze
0%
Closed
18%

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