Natalie Klco
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 2%
- Nuclear and High Energy Physics top 5%
- Condensed Matter Physics top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Martin J. SavageJesse R. StrykerR. J. FurnstahlSarah WesolowskiDaniel R. PhillipsAnthony N. CiavarellaPavel LougovskiTitus Morris
- Topics
- Quantum Computing Algorithms and Architecture (14 papers)Quantum Information and Cryptography (12 papers)Quantum Mechanics and Applications (9 papers)
- Cited by
- Nuclear and High Energy PhysicsAtomic and Molecular Physics, and OpticsArtificial Intelligence
- Partner nations
- United StatesSwedenSpain
In The Last Decade
Natalie Klco
22 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Atomic and Molecular Physics, and Optics 1.0k
- Artificial Intelligence 727
- Nuclear and High Energy Physics 497
- Condensed Matter Physics 160
- Statistical and Nonlinear Physics 80
Countries citing papers authored by Natalie Klco
This map shows the geographic impact of Natalie Klco'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 Natalie Klco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Klco more than expected).
Fields of papers citing papers by Natalie Klco
This network shows the impact of papers produced by Natalie Klco. 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 Natalie Klco. The network helps show where Natalie Klco may publish in the future.
Co-authorship network of co-authors of Natalie Klco
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Klco. A scholar is included among the top collaborators of Natalie Klco 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 Natalie Klco. Natalie Klco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 71 | |
| 6 | 106 | |
| 7 | 135 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 28 | |
| 11 | 173 | |
| 12 | 19 | |
| 13 | 47 | |
| 14 | 89 | |
| 15 | 94 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | Quantum-Classical Dynamical Calculations of the Schwinger Model using Quantum Computers | 1 |
| 19 | 1 | |
| 20 | Bayesian Errors and Rogue Effective Field Theories | 1 |
About Natalie Klco
Natalie Klco is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Nuclear and High Energy Physics, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (12 papers) and Quantum Mechanics and Applications (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (497 citations), Atomic and Molecular Physics, and Optics (1.0k citations) and Artificial Intelligence (727 citations). Natalie Klco has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Martin J. Savage, Jesse R. Stryker, R. J. Furnstahl, Sarah Wesolowski, Daniel R. Phillips, Anthony N. Ciavarella, Pavel Lougovski, Titus Morris, Alessandro Roggero and Mikel Sanz. Their work appears in journals such as Physical Review Letters, Reports on Progress in Physics and Physical review. D.
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.