Plamen Angelov

13.4k total citations · 2 hit papers
307 papers, 8.9k citations indexed

About

Plamen Angelov is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Plamen Angelov has authored 307 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Artificial Intelligence, 69 papers in Control and Systems Engineering and 66 papers in Computer Vision and Pattern Recognition. Recurrent topics in Plamen Angelov's work include Fuzzy Logic and Control Systems (106 papers), Neural Networks and Applications (74 papers) and Anomaly Detection Techniques and Applications (48 papers). Plamen Angelov is often cited by papers focused on Fuzzy Logic and Control Systems (106 papers), Neural Networks and Applications (74 papers) and Anomaly Detection Techniques and Applications (48 papers). Plamen Angelov collaborates with scholars based in United Kingdom, United States and Bulgaria. Plamen Angelov's co-authors include Dimitar Filev, Xiaowei Zhou, Xiaowei Gu, Edwin Lughofer, Bruno Sielly Jales Costa, Ronald R. Yager, Eduardo Soares, Peter M. Atkinson, Richard Jiang and Zulfiqar Habib and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Plamen Angelov

297 papers receiving 8.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Approach to Online Identification of Takagi-Sugeno Fuzzy Models

2004 756 citations Plamen Angelov, Dimitar Filev profile →
Explainable artificial intelligence: an analytical review

2021 425 citations Plamen Angelov, Eduardo Soares et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Plamen Angelov United Kingdom	48	5.6k	2.1k	1.3k	759	731	307	8.9k
Adam Krzyżak Canada	35	3.4k 0.6×	1.2k 0.6×	2.7k 2.0×	722 1.0×	348 0.5×	213	7.3k
S. Sathiya Keerthi India	29	4.1k 0.7×	1.9k 0.9×	3.5k 2.6×	583 0.8×	364 0.5×	72	9.7k
Edwin Lughofer Austria	41	4.0k 0.7×	1.5k 0.7×	434 0.3×	415 0.5×	457 0.6×	211	5.8k
Patricia Melín Mexico	63	8.3k 1.5×	3.0k 1.4×	2.1k 1.6×	548 0.7×	1.8k 2.5×	499	13.0k
Rudolf Kruse Germany	35	3.6k 0.6×	898 0.4×	713 0.5×	530 0.7×	1.2k 1.6×	224	6.0k
Shie Mannor Israel	42	3.9k 0.7×	950 0.5×	1.4k 1.0×	707 0.9×	1.6k 2.2×	252	8.7k
Fernando Gomide Brazil	34	4.2k 0.8×	1.4k 0.7×	428 0.3×	341 0.4×	1.3k 1.7×	220	6.6k
Ludmila I. Kuncheva United Kingdom	45	7.5k 1.3×	608 0.3×	3.6k 2.7×	1.4k 1.8×	563 0.8×	128	12.3k
Dimitar Filev United States	38	3.7k 0.7×	2.9k 1.4×	529 0.4×	410 0.5×	2.3k 3.1×	210	8.5k
E.H. Mamdani United Kingdom	20	5.6k 1.0×	3.7k 1.8×	687 0.5×	268 0.4×	1.2k 1.6×	57	10.3k

Countries citing papers authored by Plamen Angelov

Since Specialization

Citations

This map shows the geographic impact of Plamen Angelov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Plamen Angelov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Plamen Angelov more than expected).

Fields of papers citing papers by Plamen Angelov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Plamen Angelov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Plamen Angelov. The network helps show where Plamen Angelov may publish in the future.

Co-authorship network of co-authors of Plamen Angelov

This figure shows the co-authorship network connecting the top 25 collaborators of Plamen Angelov. A scholar is included among the top collaborators of Plamen Angelov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Plamen Angelov. Plamen Angelov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Williams, Bryan M., et al.. (2025). Demonstrable and anatomy-driven knuckle identification via crease map segmentation. Signal Image and Video Processing. 19(4). 2 indexed citations

Li, Yi, et al.. (2024). Adversarial Attack Detection via Fuzzy Predictions. IEEE Transactions on Fuzzy Systems. 32(12). 7015–7024. 3 indexed citations

Soares, Eduardo, et al.. (2023). A large multiclass dataset of CT scans for COVID-19 identification. Evolving Systems. 15(2). 635–640. 12 indexed citations

Williams, Bryan M., et al.. (2022). Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization. Sensors. 22(4). 1569–1569. 3 indexed citations

Angelov, Plamen, et al.. (2022). An Improved Explainable Point Cloud Classifier (XPCC). IEEE Transactions on Artificial Intelligence. 4(1). 71–80. 10 indexed citations

Angelov, Plamen, et al.. (2021). Explainable artificial intelligence: an analytical review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 11(5). 425 indexed citations breakdown →

Gu, Xiaowei & Plamen Angelov. (2021). Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification. IEEE Transactions on Fuzzy Systems. 30(9). 3722–3735. 16 indexed citations

Yang, Zhao-Xu, et al.. (2020). Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems. IEEE Transactions on Industrial Electronics. 68(5). 4508–4518. 13 indexed citations

Gu, Xiaowei, Qiang Shen, & Plamen Angelov. (2020). Particle Swarm Optimized Autonomous Learning Fuzzy System. IEEE Transactions on Cybernetics. 51(11). 5352–5363. 28 indexed citations

10.

Marcolino, Leandro Soriano, et al.. (2020). On-line Estimators for Ad-hoc Task Allocation. 1999–2001. 1 indexed citations

11.

Soares, Eduardo, et al.. (2020). Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Transactions on Fuzzy Systems. 29(8). 2399–2407. 33 indexed citations

12.

Angelov, Plamen, Dimitar Filev, Nikola Kasabov, et al.. (2019). IEEE EAIS 2020. IEEE Computational Intelligence Magazine. 14(4). 91–91. 1 indexed citations

13.

Gu, Xiaowei, Plamen Angelov, & Zhijin Zhao. (2019). A distance-type-insensitive clustering approach. Applied Soft Computing. 77. 622–634. 8 indexed citations

14.

Sadeghi‐Tehran, Pouria, Plamen Angelov, Nicolas Virlet, & Malcolm J. Hawkesford. (2019). Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. Journal of Imaging. 5(3). 33–33. 20 indexed citations

15.

Pratama, Mahardhika, Plamen Angelov, Jie Lü, et al.. (2017). A randomized neural network for data streams. Swinburne Research Bank (Swinburne University of Technology). 3423–3430. 5 indexed citations

16.

Angelov, Plamen & Alessandro Sperduti. (2016). Challenges in deep learning. Lancaster EPrints (Lancaster University). 1. 489–495. 34 indexed citations

17.

Andonovski, Goran, Plamen Angelov, Sašo Blažič, & Igor Škrjanc. (2016). A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant. Applied Soft Computing. 48. 29–38. 37 indexed citations

18.

Lughofer, Edwin & Plamen Angelov. (2009). Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems ∗. Lancaster EPrints (Lancaster University). 931–937. 5 indexed citations

19.

Angelov, Plamen. (2001). Supplementary Crossover Operator for Genetic Algorithms based on the Center-of-Gravity Paradigm. Control and Cybernetics. 30(2). 159–176. 12 indexed citations

20.

Angelov, Plamen, Richard Buswell, Jonathan A. Wright, & D.L. Loveday. (2001). Evolving rules-based control. Loughborough University Institutional Repository (Loughborough University). 22(3). 421–8. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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