Vadim Makarov

68 papers and 4.3k indexed citations i.

About

Vadim Makarov is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Instrumentation. According to data from OpenAlex, Vadim Makarov has authored 68 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 56 papers in Atomic and Molecular Physics, and Optics and 14 papers in Instrumentation. Recurrent topics in Vadim Makarov’s work include Quantum Information and Cryptography (64 papers), Quantum Mechanics and Applications (43 papers) and Quantum Computing Algorithms and Architecture (24 papers). Vadim Makarov is often cited by papers focused on Quantum Information and Cryptography (64 papers), Quantum Mechanics and Applications (43 papers) and Quantum Computing Algorithms and Architecture (24 papers). Vadim Makarov collaborates with scholars based in Canada, Norway and Russia. Vadim Makarov's co-authors include Johannes Skaar, Lars Lydersen, Dominique Elser, Carlos Wiechers, Christoffer Wittmann, Dag Roar Hjelme, A. N. Anisimov, Anqi Huang, Christoph Marquardt and Gerd Leuchs and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Vadim Makarov i

Fields of papers citing papers by Vadim Makarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vadim Makarov

Since Specialization
Citations

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