Shelby Kimmel

430 total citations
12 papers, 189 citations indexed

About

Shelby Kimmel is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Shelby Kimmel has authored 12 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computational Mechanics. Recurrent topics in Shelby Kimmel's work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (9 papers) and Sparse and Compressive Sensing Techniques (2 papers). Shelby Kimmel is often cited by papers focused on Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (9 papers) and Sparse and Compressive Sensing Techniques (2 papers). Shelby Kimmel collaborates with scholars based in United States, Netherlands and Canada. Shelby Kimmel's co-authors include Thomas Ohki, Colm A. Ryan, Blake Johnson, Marcus P. da Silva, Guang Hao Low, Theodore J. Yoder, Gilles Brassard, Somshubhro Bandyopadhyay, Māris Ozols and William K. Wootters and has published in prestigious journals such as Physical Review Letters, Physical Review A and Physical Review X.

In The Last Decade

Shelby Kimmel

12 papers receiving 185 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shelby Kimmel United States	6	183	112	27	18	8	12	189
András Gilyén United States	8	146 0.8×	57 0.5×	41 1.5×	10 0.6×	14 1.8×	14	164
Bobak T. Kiani United States	7	231 1.3×	91 0.8×	50 1.9×	16 0.9×	9 1.1×	15	251
Sam Pallister United Kingdom	4	226 1.2×	130 1.2×	50 1.9×	22 1.2×	11 1.4×	5	245
Chunhao Wang United States	7	99 0.5×	64 0.6×	19 0.7×	8 0.4×	11 1.4×	12	119
Murphy Yuezhen Niu United States	6	163 0.9×	86 0.8×	25 0.9×	44 2.4×	4 0.5×	14	187
Marc Beekman Netherlands	7	286 1.6×	213 1.9×	46 1.7×	38 2.1×	11 1.4×	10	322
Naqueeb Ahmad Warsi India	7	170 0.9×	97 0.9×	18 0.7×	49 2.7×	26 3.3×	18	202
Ariel Bendersky Argentina	7	172 0.9×	146 1.3×	6 0.2×	18 1.0×	12 1.5×	13	192
Eneet Kaur United States	9	227 1.2×	182 1.6×	19 0.7×	10 0.6×	24 3.0×	21	251
Julien Gacon Switzerland	3	163 0.9×	71 0.6×	40 1.5×	21 1.2×	6 0.8×	4	179

Countries citing papers authored by Shelby Kimmel

Since Specialization

Citations

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

Fields of papers citing papers by Shelby Kimmel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelby Kimmel

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

All Works

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12 of 12 papers shown

1.

Kirby, William, et al.. (2021). Consistency testing for robust phase estimation. Physical review. A. 103(4). 4 indexed citations

2.

Jeffery, Stacey, et al.. (2018). Quantum algorithms for connectivity and related problems. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 2 indexed citations

3.

Rudinger, Kenneth, Shelby Kimmel, Daniel Lobser, & Peter Maunz. (2017). Experimental Demonstration of a Cheap and Accurate Phase Estimation. Physical Review Letters. 118(19). 190502–190502. 20 indexed citations

4.

Kimmel, Shelby, et al.. (2017). Hamiltonian simulation with optimal sample complexity. npj Quantum Information. 3(1). 42 indexed citations

5.

Jeffery, Stacey & Shelby Kimmel. (2017). Quantum algorithms for graph connectivity and formula evaluation. Quantum. 1. 26–26. 1 indexed citations

6.

Liu, Yi-Kai & Shelby Kimmel. (2016). Quantum Compressed Sensing Using 2-Designs. Bulletin of the American Physical Society. 2016. 1 indexed citations

7.

Kimmel, Shelby, Guang Hao Low, & Theodore J. Yoder. (2015). Robust calibration of a universal single-qubit gate set via robust phase estimation. Physical Review A. 92(6). 3 indexed citations

8.

Kimmel, Shelby, Marcus P. da Silva, Colm A. Ryan, Blake Johnson, & Thomas Ohki. (2014). Robust Extraction of Tomographic Information via Randomized Benchmarking. Physical Review X. 4(1). 63 indexed citations

9.

Kimmel, Shelby, Marcus P. da Silva, Colm A. Ryan, Blake Johnson, & Thomas Ohki. (2013). Robust Extraction of Tomographic Information via Randomized Benchmarking. DSpace@MIT (Massachusetts Institute of Technology). 13 indexed citations

10.

Kimmel, Shelby. (2013). . 19(1). 1–14. 6 indexed citations

11.

Kimmel, Shelby. (2011). Quantum Adversary (Upper) Bound. arXiv (Cornell University). 2013. 3 indexed citations

12.

Bandyopadhyay, Somshubhro, Gilles Brassard, Shelby Kimmel, & William K. Wootters. (2009). Entanglement cost of nonlocal measurements. Physical Review A. 80(1). 31 indexed citations

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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