Miroslav Gajdacz

16 papers and 224 indexed citations i.

About

Miroslav Gajdacz is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Miroslav Gajdacz has authored 16 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 6 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Miroslav Gajdacz’s work include Cold Atom Physics and Bose-Einstein Condensates (9 papers), Atomic and Subatomic Physics Research (6 papers) and Quantum Information and Cryptography (4 papers). Miroslav Gajdacz is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (9 papers), Atomic and Subatomic Physics Research (6 papers) and Quantum Information and Cryptography (4 papers). Miroslav Gajdacz collaborates with scholars based in Denmark, United States and Germany. Miroslav Gajdacz's co-authors include Jacob Sherson, J. Arlt, Andrew J. Hilliard, Carsten Klempt, Margit Kristensen, Kunal K. Das, Tomáš Opatrný, Palle Pedersen, Janet Rafner and Kazimierz Rzążewski and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physical Review A.

In The Last Decade

Co-authorship network of co-authors of Miroslav Gajdacz i

Fields of papers citing papers by Miroslav Gajdacz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Miroslav Gajdacz

Since Specialization
Citations

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