Filip Wudarski

27 papers and 565 indexed citations i.

About

Filip Wudarski is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Filip Wudarski has authored 27 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Atomic and Molecular Physics, and Optics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Filip Wudarski’s work include Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (13 papers). Filip Wudarski is often cited by papers focused on Quantum Information and Cryptography (23 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (13 papers). Filip Wudarski collaborates with scholars based in United States, Poland and Germany. Filip Wudarski's co-authors include Dariusz Chruściński, Stuart Hadfield, Gniewomir Sarbicki, Jeffrey Marshall, Tad Hogg, Eleanor Rieffel, Norm M. Tubman, Francesco Petruccione, Ilya Sinayskiy and Matthew J. Reagor and has published in prestigious journals such as Physical Review Letters, Physical Review A and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Co-authorship network of co-authors of Filip Wudarski i

Fields of papers citing papers by Filip Wudarski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Filip Wudarski

Since Specialization
Citations

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