Ekaterina Merkurjev

16 papers and 447 indexed citations i.

About

Ekaterina Merkurjev is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ekaterina Merkurjev has authored 16 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ekaterina Merkurjev’s work include Medical Image Segmentation Techniques (5 papers), Remote-Sensing Image Classification (4 papers) and Topological and Geometric Data Analysis (3 papers). Ekaterina Merkurjev is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Remote-Sensing Image Classification (4 papers) and Topological and Geometric Data Analysis (3 papers). Ekaterina Merkurjev collaborates with scholars based in United States, Norway and China. Ekaterina Merkurjev's co-authors include Andrea L. Bertozzi, Arjuna Flenner, Cristina García–Cardona, Allon G. Percus, Guo‐Wei Wei, Long Chen, Jie Liu, Bengong Zhang, Yueying Zhu and Jiang Jian and has published in prestigious journals such as Chemical Reviews, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Ekaterina Merkurjev i

Fields of papers citing papers by Ekaterina Merkurjev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ekaterina Merkurjev

Since Specialization
Citations

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