Maia Angelova

1.5k total citations
89 papers, 941 citations indexed

About

Maia Angelova is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Maia Angelova has authored 89 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Electrical and Electronic Engineering and 13 papers in Signal Processing. Recurrent topics in Maia Angelova's work include Optical Wireless Communication Technologies (13 papers), Advanced Photonic Communication Systems (12 papers) and Optical Network Technologies (10 papers). Maia Angelova is often cited by papers focused on Optical Wireless Communication Technologies (13 papers), Advanced Photonic Communication Systems (12 papers) and Optical Network Technologies (10 papers). Maia Angelova collaborates with scholars based in United Kingdom, Australia and Bulgaria. Maia Angelova's co-authors include Tim Wilkin, Zabih Ghassemlooy, Ye Zhu, Anuroop Gaddam, Sujan Rajbhandari, Ahmed Bouridane, Jason Ellis, Véronique Hussin, A. Frank and Man Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Maia Angelova

82 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maia Angelova United Kingdom	17	211	148	131	86	82	89	941
Rishabh Gupta Canada	13	180 0.9×	64 0.4×	72 0.5×	41 0.5×	192 2.3×	52	683
Fikret Gürgen Türkiye	16	475 2.3×	109 0.7×	167 1.3×	52 0.6×	58 0.7×	78	1.2k
Jin Young Kim South Korea	19	321 1.5×	287 1.9×	220 1.7×	69 0.8×	41 0.5×	179	1.4k
Md. Abdul Awal Bangladesh	18	275 1.3×	99 0.7×	148 1.1×	111 1.3×	123 1.5×	54	1.1k
Wajid Aziz Pakistan	22	349 1.7×	120 0.8×	89 0.7×	207 2.4×	192 2.3×	66	1.4k
Austin J. Brockmeier United States	12	291 1.4×	170 1.1×	78 0.6×	162 1.9×	273 3.3×	44	1.1k
Talal Bonny United Arab Emirates	18	308 1.5×	425 2.9×	173 1.3×	141 1.6×	81 1.0×	116	1.2k
Ellie D’Hondt Belgium	13	247 1.2×	46 0.3×	71 0.5×	60 0.7×	81 1.0×	29	802

Countries citing papers authored by Maia Angelova

Since Specialization

Citations

This map shows the geographic impact of Maia Angelova'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 Maia Angelova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maia Angelova more than expected).

Fields of papers citing papers by Maia Angelova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maia Angelova. 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 Maia Angelova. The network helps show where Maia Angelova may publish in the future.

Co-authorship network of co-authors of Maia Angelova

This figure shows the co-authorship network connecting the top 25 collaborators of Maia Angelova. A scholar is included among the top collaborators of Maia Angelova 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 Maia Angelova. Maia Angelova 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

Shelyag, Sergiy, et al.. (2025). Time-Series Analysis of Ball Carrier Open-Space (BCOS) in Association Football. SN Computer Science. 6(4).

Shelyag, Sergiy, et al.. (2024). Predicting goal probabilities with improved xG models using event sequences in association football. PLoS ONE. 19(10). e0312278–e0312278. 3 indexed citations

Shelyag, Sergiy, et al.. (2024). Winning With Chaos in Association Football: Spatiotemporal Event Distribution Randomness Metric for Team Performance Evaluation. IEEE Access. 12. 83363–83376. 2 indexed citations

Adibi, Sasan, et al.. (2024). Non-invasive blood glucose monitoring technology in diabetes management: review. mHealth. 10. 9–9. 14 indexed citations

Belavý, Daniel L., Scott D. Tagliaferri, Martin Tegenthoff, et al.. (2023). Evidence- and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study. PLoS ONE. 18(8). e0282346–e0282346. 1 indexed citations

Tagliaferri, Scott D., Patrick J. Owen, Clint T. Miller, et al.. (2023). Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study. Scientific Reports. 13(1). 13112–13112. 3 indexed citations

Tagliaferri, Scott D., Tim Wilkin, Maia Angelova, et al.. (2022). Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning. Scientific Reports. 12(1). 15194–15194. 9 indexed citations

Zhu, Ye, Kai Ming Ting, Yuan Jin, & Maia Angelova. (2021). Hierarchical clustering that takes advantage of both density-peak and density-connectivity. Information Systems. 103. 101871–101871. 19 indexed citations

Angelova, Maia, Chandan Karmakar, Ye Zhu, Sean P. A. Drummond, & Jason Ellis. (2020). Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data. IEEE Access. 8. 74413–74422. 21 indexed citations

10.

Kusmakar, Shitanshu, Sergiy Shelyag, Ye Zhu, et al.. (2020). Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer. IEEE Access. 8. 90266–90279. 19 indexed citations

11.

Angelova, Maia, et al.. (2020). Amplitude and Frequency Variation in Nonlinear Glucose Dynamics with Multiple Delays via Periodic Perturbation. Journal of Nonlinear Science. 30(3). 737–766. 2 indexed citations

12.

Stephens, Christopher R., et al.. (2014). Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: A data mining approach. Computers in Biology and Medicine. 54. 199–210. 26 indexed citations

13.

Angelova, Maia, et al.. (2013). HACDB: Handwritten Arabic characters database for automatic character recognition. Deakin Research Online (Deakin University). 255–259. 38 indexed citations

14.

Angelova, Maia, et al.. (2013). DISEASES AND CONDITIONS ASSOCIATED WITH ZINC DEFICIENCY. SERUM ZINC IN PREGNANT WOMEN WITH REPRODUCTIVE FAILURES AND SERUM ZINC IN CHILDREN WITH TYPE I DIABETES. Bulgarian Portal for Open Science. 2 indexed citations

15.

Николов, А, et al.. (2012). Relationship between anti-elastin IgA and development of microvascular complications: a study in diabetic patients with arterial hypertension.. Bulgarian Portal for Open Science. 41(3). 103–111. 2 indexed citations

16.

Bouridane, Ahmed, et al.. (2011). Handwritten Arabic character recognition: Which feature extraction method. Northumbria Research Link (Northumbria University). 36 indexed citations

17.

Angelova, Maia, et al.. (2010). Zinc deficiency and clinical laboratory indicators in children with malabsorption syndrome.. Trakia Journal of Sciences. 8(1). 45–51. 1 indexed citations

18.

Rajbhandari, Sujan, Zabih Ghassemlooy, & Maia Angelova. (2009). Performance of the wavelet-transform-neural network based receiver for DPIM in diffuse indoor optical wireless links in presence of artificial light interference. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Rajbhandari, Sujan, Zabih Ghassemlooy, & Maia Angelova. (2009). Effective Denoising and Adaptive Equalization of Indoor Optical Wireless Channel With Artificial Light Using the Discrete Wavelet Transform and Artificial Neural Network. Journal of Lightwave Technology. 27(20). 4493–4500. 34 indexed citations

20.

Nicoloff, G., Maia Angelova, & А Николов. (2005). Serum fibrillin–antifibrillin immune complexes among diabetic children. Vascular Pharmacology. 43(3). 171–175. 3 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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