Maia Angelova

75 papers and 680 indexed citations i.

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 75 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Electrical and Electronic Engineering and 12 papers in Signal Processing. Recurrent topics in Maia Angelova’s work include Optical Wireless Communication Technologies (11 papers), Advanced Photonic Communication Systems (11 papers) and Time Series Analysis and Forecasting (9 papers). Maia Angelova is often cited by papers focused on Optical Wireless Communication Technologies (11 papers), Advanced Photonic Communication Systems (11 papers) and Time Series Analysis and Forecasting (9 papers). Maia Angelova collaborates with scholars based in United Kingdom, Australia and Bulgaria. Maia Angelova's co-authors include Tim Wilkin, Zabih Ghassemlooy, Véronique Hussin, Sujan Rajbhandari, Ye Zhu, Anuroop Gaddam, Jason Ellis, A. Frank, V. K. Dobrev and Dan Dwyer and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Maia Angelova i

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.

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).

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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2025