Jamie Sikora

411 total citations
31 papers, 212 citations indexed

About

Jamie Sikora is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Jamie Sikora has authored 31 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Jamie Sikora's work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (22 papers) and Quantum Mechanics and Applications (17 papers). Jamie Sikora is often cited by papers focused on Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (22 papers) and Quantum Mechanics and Applications (17 papers). Jamie Sikora collaborates with scholars based in United States, Canada and Singapore. Jamie Sikora's co-authors include Zhaohui Wei, Antonios Varvitsiotis, John H. Selby, André Chailloux, Iordanis Kerenidis, Georgios Styliaris, Sevag Gharibian, Eduardo Martín-Martínez, Álvaro M. Alhambra and Vincent M. Russo and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical Review A.

In The Last Decade

Jamie Sikora

27 papers receiving 209 citations

Peers

Jamie Sikora
Comparison fields: 5 of 29
  • Artificial Intelligence 182
  • Atomic and Molecular Physics, and Optics 161
  • Statistical and Nonlinear Physics 38
  • Computational Theory and Mathematics 28
  • History and Philosophy of Science 5
Replace Koon Tong Goh with:
Koon Tong Goh Singapore
Christopher Hadley United Kingdom
Carlo Maria Scandolo Canada
Juan Bermejo-Vega Germany
Ashutosh Rai India
Seyed Javad Akhtarshenas Iran
Tzyh Haur Yang Singapore
Michał Oszmaniec Poland
Debashis Saha Poland
Eneet Kaur United States
Koon Tong Goh Singapore View profile →
Citations per field, relative to Jamie Sikora
Jamie Sikora · 1×
Citations per year, relative to Jamie Sikora
Jamie Sikora · 1×

Countries citing papers authored by Jamie Sikora

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Sikora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Sikora

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Sikora. A scholar is included among the top collaborators of Jamie Sikora 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 Jamie Sikora. Jamie Sikora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 7
4 12
5 0
6 10
7 2
8 18
9 24
10 3
11 8
12 10
13 5
14 31
15 7
16 7
17 7
18 2
19 1
20 4

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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