Plamen Angelov
- Artificial Intelligence top 0.1%
- Control and Systems Engineering top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Management Science and Operations Research top 0.5%
- Co-authors
- Dimitar FilevXiaowei ZhouXiaowei GuEdwin LughoferBruno Sielly Jales CostaRonald R. YagerEduardo SoaresPeter M. Atkinson
- Topics
- Fuzzy Logic and Control Systems (106 papers)Neural Networks and Applications (74 papers)Anomaly Detection Techniques and Applications (48 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United KingdomUnited StatesBulgaria
In The Last Decade
Plamen Angelov
297 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Artificial Intelligence 5.6k
- Control and Systems Engineering 2.1k
- Computer Vision and Pattern Recognition 1.3k
- Signal Processing 759
- Management Science and Operations Research 731
Countries citing papers authored by Plamen Angelov
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 21 | |
| 9 | 6 | |
| 10 | Explainable artificial intelligence: an analytical reviewbreakdown → | 425 |
| 11 | 33 | |
| 12 | 13 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 24 | |
| 17 | 34 | |
| 18 | 61 | |
| 19 | 57 | |
| 20 | Transparency and simplification of rule-based models for on-line adaptation. | 0 |
About Plamen Angelov
Plamen Angelov is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 307 papers that have together received 8.9k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (106 papers), Neural Networks and Applications (74 papers) and Anomaly Detection Techniques and Applications (48 papers). The work is most often cited by research in Artificial Intelligence (5.6k citations), Control and Systems Engineering (2.1k citations) and Statistics and Probability (661 citations). Plamen Angelov has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.