Alla Kammerdiner

13 papers and 32 indexed citations i.

About

Alla Kammerdiner is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Alla Kammerdiner has authored 13 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Alla Kammerdiner’s work include Evolutionary Algorithms and Applications (2 papers), Gait Recognition and Analysis (2 papers) and Graph Theory and Algorithms (2 papers). Alla Kammerdiner is often cited by papers focused on Evolutionary Algorithms and Applications (2 papers), Gait Recognition and Analysis (2 papers) and Graph Theory and Algorithms (2 papers). Alla Kammerdiner collaborates with scholars based in United States and Ukraine. Alla Kammerdiner's co-authors include Eduardo L. Pasiliao, Pãnos M. Pardalos, Eduardo Pasiliao, А. Л. Семенов, Pavlo Krokhmal, Pãnos M. Pardalos, Vladimir Boginski, Alex Sprintson, Alexander Veremyev and Petros Xanthopoulos and has published in prestigious journals such as European Journal of Operational Research, Annals of Operations Research and Journal of Global Optimization.

In The Last Decade

Co-authorship network of co-authors of Alla Kammerdiner i

Fields of papers citing papers by Alla Kammerdiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alla Kammerdiner

Since Specialization
Citations

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