Mila Nikolova

70 papers and 6.4k indexed citations i.

About

Mila Nikolova is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Mila Nikolova has authored 70 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 38 papers in Computational Mechanics and 18 papers in Mathematical Physics. Recurrent topics in Mila Nikolova’s work include Sparse and Compressive Sensing Techniques (36 papers), Image and Signal Denoising Methods (21 papers) and Inverse Problems in Mathematical Physics and Imaging (17 papers). Mila Nikolova is often cited by papers focused on Sparse and Compressive Sensing Techniques (36 papers), Image and Signal Denoising Methods (21 papers) and Inverse Problems in Mathematical Physics and Imaging (17 papers). Mila Nikolova collaborates with scholars based in France, Hong Kong and Germany. Mila Nikolova's co-authors include Michael K. Ng, Raymond H. Chan, Selim Esedoḡlu, Tony F. Chan, Raymond H. Chan, Jian‐Feng Cai, Sylvain Durand, Jalal Fadili, Shuqin Zhang and Wai-Ki Ching and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Mila Nikolova i

Fields of papers citing papers by Mila Nikolova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mila Nikolova

Since Specialization
Citations

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