World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8580
World Ranking
10044
National Ranking
628

Overview

Richard Jensen is affiliated with Aberystwyth University in the United Kingdom. Their research spans both Medicine and Computer Science, integrating interdisciplinary approaches across several subfields.

The scientist's work in Medicine focuses on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, and Radiology, Nuclear Medicine and Imaging. In Computer Science, their research engages with Computational Theory and Mathematics, as well as Computer Vision and Pattern Recognition.

The main topics covered in their publications include:

  • Cardiac pacing and defibrillation studies
  • Ultrasound in Clinical Applications
  • Radiology practices and education
  • Rough Sets and Fuzzy Logic
  • Image and Object Detection Techniques
  • Fuzzy Logic and Control Systems

Richard Jensen's recent papers demonstrate a blend of clinical and computational research:

  • PE-565-02 PILOT HOLE ASSISTED TRANSSEPTAL PACING TO AVOID DYSSYNCHRONY: THE PHAT PAD TECHNIQUE (2022, Heart Rhythm)
  • Abstract 9733: Echocardiography Workshops Are an Effective Learning Tool for Pre-Clerkship Medical Students (2022, Circulation)
  • Feature selection for high-dimensional imbalanced class datasets using Harmony Search and Kullback-Leibler divergence (2025, Data Mining and Knowledge Discovery)

Frequent coauthors collaborating with Richard Jensen include:

  • Steven B. Fishberger
  • Charles C. Anderson
  • Ava Gharai
  • Abigail Cone
  • Kelsey Wold

Publication venues reflect the interdisciplinary nature of their research and include:

  • Heart Rhythm
  • Circulation
  • Data Mining and Knowledge Discovery

Best Publications

  • Feature selection based on rough sets and particle swarm optimization

    Xiangyang Wang;Jie Yang;Xiaolong Teng;Weijun Xia

  • Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches

    R. Jensen;Q. Shen

  • New Approaches to Fuzzy-Rough Feature Selection

    R. Jensen;Qiang Shen

  • Fuzzy rough attribute reduction with application to web categorization

    Richard Jensen;Qiang Shen

  • Fuzzy-Rough Sets Assisted Attribute Selection

    R. Jensen;Qiang Shen

  • Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

    Richard Jensen;Qiang Shen

  • Rough Sets and Current Trends in Computing

    Marcin Szczuka;Marzena Kryszkiewicz;Sheela Ramanna;Richard Jensen

  • Selecting Informative Features with Fuzzy-Rough Sets and its Application for Complex Systems Monitoring.

    Qiang Shen;Richard Jensen

  • Attribute selection with fuzzy decision reducts

    Chris Cornelis;Richard Jensen;Germán Hurtado;Dominik lezak

  • Fuzzy-rough data reduction with ant colony optimization

    Richard Jensen;Qiang Shen

  • Combining rough and fuzzy sets for feature selection

    Richard Jensen

  • A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction

    N. Parthalain;Qiang Shen;R. Jensen

  • Missing data imputation using fuzzy-rough methods

    Mehran Amiri;Richard Jensen

  • Feature selection for high dimensional imbalanced class data using harmony search

    Alireza Moayedikia;Kok-Leong Ong;Yee Ling Boo;William Gs Yeoh

  • Fuzzy-rough nearest neighbour classification and prediction

    Richard Jensen;Chris Cornelis

  • Fuzzy-rough sets for descriptive dimensionality reduction

    R. Jensen;Qiang Shen

  • Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma.

    Xiangyang Wang;Jie Yang;Richard Jensen;Xiaojun Liu

  • Rough Sets, their Extensions and Applications

    Qiang Shen;Richard Jensen

  • A New Approach to Fuzzy-Rough Nearest Neighbour Classification

    Richard Jensen;Chris Cornelis

  • Ordered weighted average based fuzzy rough sets

    Chris Cornelis;Nele Verbiest;Richard Jensen

  • A Rough Set-Aided System for Sorting WWW Bookmarks

    Richard Jensen;Qiang Shen

Frequent Co-Authors

Qiang Shen
Qiang Shen Aberystwyth University
Chris Cornelis
Chris Cornelis Ghent University
Qinghua Hu
Qinghua Hu Tianjin University
Yvan Saeys
Yvan Saeys Ghent University
Mohammad Reza Meybodi
Mohammad Reza Meybodi Amirkabir University of Technology
Pawan Lingras
Pawan Lingras Saint Mary's University

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