Stasja Stanisic

687 citations
7 papers · 372 indexed · h-index 5
Topics
Quantum Computing Algorithms and Architecture (5 papers)Quantum Information and Cryptography (4 papers)Quantum and electron transport phenomena (3 papers)

In The Last Decade

Stasja Stanisic

7 papers receiving 353 citations

Peers

Stasja Stanisic
Comparison fields: 5 of 25
  • Artificial Intelligence 303
  • Atomic and Molecular Physics, and Optics 246
  • Electrical and Electronic Engineering 129
  • Condensed Matter Physics 16
  • Computational Theory and Mathematics 16
Replace Haohua Wang with:
Haohua Wang China
Futian Liang China
Peter D. Nissen Denmark
Joseph Kerckhoff United States
A. P. Burgers United States
Christopher S. Wang United States
Alexandra A. Geim United States
Shavindra Premaratne United States
Nandini Muthusubramanian Netherlands
Yuuki Tokunaga Japan
Stasja Stanisic relative to Haohua Wang China Haohua Wang's profile →
Citations per field
00.5×3.6×
Haohua Wang · 1×
Citations per year

Countries citing papers authored by Stasja Stanisic

Since Specialization
Citations

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

Fields of papers citing papers by Stasja Stanisic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stasja Stanisic

This figure shows the co-authorship network connecting the top 25 collaborators of Stasja Stanisic. A scholar is included among the top collaborators of Stasja Stanisic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stasja Stanisic. Stasja Stanisic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Stasja Stanisic

Stasja Stanisic is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 7 papers that have together received 372 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (4 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in Artificial Intelligence (303 citations), Atomic and Molecular Physics, and Optics (246 citations) and Acoustics and Ultrasonics (3 citations). Stasja Stanisic has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ashley Montanaro, Philip Sibson, Jake Kennard, Jeremy L. O’Brien, Chris Erven, Mark G. Thompson, Peter S. Turner, Filippo Maria Gambetta, Wojciech Mruczkiewicz and Eric Ostby. Their work appears in journals such as Nature Communications, Physical review. B. and Optica.

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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