Daniel K. Park

41 papers and 681 indexed citations i.

About

Daniel K. Park is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Daniel K. Park has authored 41 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 19 papers in Atomic and Molecular Physics, and Optics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Daniel K. Park’s work include Quantum Computing Algorithms and Architecture (31 papers), Quantum Information and Cryptography (30 papers) and Quantum and electron transport phenomena (12 papers). Daniel K. Park is often cited by papers focused on Quantum Computing Algorithms and Architecture (31 papers), Quantum Information and Cryptography (30 papers) and Quantum and electron transport phenomena (12 papers). Daniel K. Park collaborates with scholars based in South Korea, South Africa and Canada. Daniel K. Park's co-authors include Francesco Petruccione, June‐Koo Kevin Rhee, Carsten Blank, Tak Hur, Adenilton J. da Silva, Raymond Laflamme, Jonathan Baugh, Joonsuk Huh, Guanru Feng and Gina Passante and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Co-authorship network of co-authors of Daniel K. Park i

Fields of papers citing papers by Daniel K. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel K. Park. 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 Daniel K. Park. The network helps show where Daniel K. Park may publish in the future.

Countries citing papers authored by Daniel K. Park

Since Specialization
Citations

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