Maria Schuld

About

Maria Schuld is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Sociology and Political Science. According to data from OpenAlex, Maria Schuld has authored 37 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 5 papers in Sociology and Political Science. Recurrent topics in Maria Schuld’s work include Quantum Computing Algorithms and Architecture (25 papers), Quantum Information and Cryptography (23 papers) and Neural Networks and Reservoir Computing (10 papers). Maria Schuld is often cited by papers focused on Quantum Computing Algorithms and Architecture (25 papers), Quantum Information and Cryptography (23 papers) and Neural Networks and Reservoir Computing (10 papers). Maria Schuld collaborates with scholars based in South Africa, United States and United Kingdom. Maria Schuld's co-authors include Nathan Killoran, Francesco Petruccione, Ilya Sinayskiy, K. Cranmer, Lenka Zdeborová, Giuseppe Carleo, Naftali Tishby, Leslie Vogt-Maranto, Laurent Daudet and J. I. Cirac and has published in prestigious journals such as Physical Review Letters, Reviews of Modern Physics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Maria Schuld i

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Fields of papers citing papers by Maria Schuld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Schuld

Since Specialization

Citations

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