2026 Plamen Angelov: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	67	2207	2140	126	124	439	16637

Research.com Recognitions

2016 - IEEE Fellow For contributions to neuro-fuzzy and autonomous learning systems

Overview

Plamen Angelov is a researcher affiliated with Lancaster University in the United Kingdom. Their primary field of study is Computer Science, with a specialization in Artificial Intelligence. Their research extends into subfields such as Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Environmental Engineering.

The scientist's work covers a range of main topics, including:

Anomaly Detection Techniques and Applications
Fuzzy Logic and Control Systems
Adversarial Robustness in Machine Learning
Neural Networks and Applications
COVID-19 diagnosis using AI
Machine Learning and Data Classification
Advanced Neural Network Applications

Frequent co-authors in their collaborations include:

Sam Kwong
Enrique Herrera-Viedma
Gina Tang
Saeid Nahavandi
Karen Panetta

Plamen Angelov has published extensively in various reputable venues. The most frequent publication venues are:

IEEE Transactions on Systems Man and Cybernetics Systems
arXiv (Cornell University)
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Artificial Intelligence
International Multidisciplinary Scientific GeoConference SGEM

Selected recent papers include:

"Explainable artificial intelligence: an analytical review," 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
"EXPLAINABLE-BY-DESIGN APPROACH FOR COVID-19 CLASSIFICATION VIA CT-SCAN," 2020, bioRxiv (Cold Spring Harbor Laboratory)
"Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World," 2021, IEEE Internet of Things Journal
"Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images," 2020, IEEE Access
"An evolving approach to data streams clustering based on typicality and eccentricity data analytics," 2020, Information Sciences

The researcher has contributed to several book publications. Publishers and published titles include:

Springer Science+Business Media: Artificial Neural Networks and Machine Learning - ICANN 2022 (multiple publications in 2022)
World Scientific: Handbook on Computer Learning and Intelligence (2021)
Springer International Publishing: Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

In 2016, Plamen Angelov was recognized as an IEEE Fellow for contributions to neuro-fuzzy and autonomous learning systems.

Best Publications

An approach to online identification of Takagi-Sugeno fuzzy models

P.P. Angelov;D.P. Filev

1257
Citations
Explainable artificial intelligence: an analytical review

Plamen P. Angelov;Eduardo A. Soares;Richard M. Jiang;Nicholas I. Arnold

719
Citations
Evolving Fuzzy-Rule-Based Classifiers From Data Streams

P.P. Angelov;Xiaowei Zhou

460
Citations
Optimization in an intuitionistic fuzzy environment

Plamen P. Angelov

416
Citations
Evolving Intelligent Systems: Methodology and Applications

Plamen Angelov;Dimitar P. Filev;Nik Kasabov

370
Citations
Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems

Plamen P. Angelov

335
Citations
Evolving Fuzzy Systems.

Plamen P. Angelov

318
Citations
Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models

P. Angelov;D. Filev

308
Citations
Evolving Fuzzy Systems from Data Streams in Real-Time

P. Angelov;Xiaowei Zhou

298
Citations
PANFIS: A Novel Incremental Learning Machine

Mahardhika Pratama;Sreenatha G. Anavatti;Plamen P. Angelov;Edwin Lughofer

281
Citations
Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives

Júlio Trevisan;Plamen P Angelov;Paul L Carmichael;Andrew D Scott

278
Citations
Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

Plamen P. Angelov

262
Citations
SARS-CoV-2 CT-scan dataset:A large dataset of real patients CT scans for SARS-CoV-2 identification

Eduardo Soares;Plamen Angelov;Sarah Biaso;Michele Higa Froes

261
Citations
Towards explainable deep neural networks (xDNN).

Plamen Angelov;Eduardo Almeida Soares

249
Citations
Evolving fuzzy classifiers using different model architectures

P. Angelov;E. Lughofer;X. Zhou

236
Citations
Evolving Takagi‐Sugeno Fuzzy Systems from Streaming Data (eTS+)

Plamen Angelov

219
Citations
Evolving Rule-Based Models

Plamen P. Angelov

218
Citations
An approach for fuzzy rule-base adaptation using on-line clustering

Plamen P. Angelov

207
Citations
A new type of simplified fuzzy rule-based system

Plamen P. Angelov;Ronald R. Yager

207
Citations
Handling drifts and shifts in on-line data streams with evolving fuzzy systems

E. Lughofer;P. Angelov

207
Citations

Frequent Co-Authors

Dimitar Petrov Filev Ford Motor Company (United States)

Edwin Lughofer Johannes Kepler University of Linz

Francis Martin University of Lorraine

Igor Škrjanc University of Ljubljana

Nikola Kasabov Auckland University of Technology

David Hutchison Lancaster University

Qiang Shen Aberystwyth University

Ronald R. Yager Iona University

Peter M. Atkinson Lancaster University

Yannis Manolopoulos University of York Europe Campus

External Links

Personal website of Plamen Angelov Google Scholar page

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