Joshua Job

1.1k total citations · 1 hit paper
10 papers, 650 citations indexed

About

Joshua Job is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Joshua Job has authored 10 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Joshua Job's work include Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (4 papers) and Particle physics theoretical and experimental studies (2 papers). Joshua Job is often cited by papers focused on Quantum Computing Algorithms and Architecture (7 papers), Quantum Information and Cryptography (4 papers) and Particle physics theoretical and experimental studies (2 papers). Joshua Job collaborates with scholars based in United States, United Kingdom and Switzerland. Joshua Job's co-authors include Daniel A. Lidar, Troels F. Rønnow, Matthias Troyer, Sergio Boixo, Sergei V. Isakov, D. Wecker, John M. Martinis, Zhihui Wang, Jean-Roch Vlimant and M. Spiropulu and has published in prestigious journals such as Nature, Science and Physical Review A.

In The Last Decade

Joshua Job

10 papers receiving 621 citations

Hit Papers

Defining and detecting qu... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Job United States 6 561 231 127 58 50 10 650
Frank Gaitan United States 13 424 0.8× 319 1.4× 115 0.9× 36 0.6× 86 1.7× 41 608
Shuxiang Cao United Kingdom 5 535 1.0× 325 1.4× 107 0.8× 52 0.9× 19 0.4× 13 629
Ben W. Reichardt United States 15 898 1.6× 577 2.5× 302 2.4× 92 1.6× 46 0.9× 27 1.0k
Kanav Setia United States 5 565 1.0× 349 1.5× 115 0.9× 45 0.8× 14 0.3× 7 651
Jules Tilly United Kingdom 5 517 0.9× 341 1.5× 103 0.8× 43 0.7× 13 0.3× 5 625
Nicholas Chancellor United Kingdom 15 616 1.1× 350 1.5× 151 1.2× 73 1.3× 60 1.2× 47 745
Benjamin J. Brown Australia 16 704 1.3× 460 2.0× 228 1.8× 101 1.7× 66 1.3× 43 907
D. Wecker United States 4 804 1.4× 443 1.9× 165 1.3× 88 1.5× 75 1.5× 7 938
Edward Grant United Kingdom 10 803 1.4× 404 1.7× 160 1.3× 63 1.1× 17 0.3× 30 939
Hongxiang Chen China 5 554 1.0× 325 1.4× 110 0.9× 45 0.8× 13 0.3× 13 648

Countries citing papers authored by Joshua Job

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Job

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Job

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

All Works

10 of 10 papers shown
1.
Roy, Tanay, Joshua Job, Namit Anand, et al.. (2025). Benchmarking the performance of a high-Q cavity qudit using random unitaries. Quantum Science and Technology. 10(2). 25062–25062. 2 indexed citations
2.
Moreno, Javier Robledo, et al.. (2025). Quantum-Centric Computational Study of Methylene Singlet and Triplet States. Journal of Chemical Theory and Computation. 21(10). 5062–5070. 4 indexed citations
3.
Li, Andy C. Y., M. Sohaib Alam, Thomas Iadecola, et al.. (2023). Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model. Physical Review Research. 5(3). 14 indexed citations
4.
Zlokapa, Alexander, Anand Abhishek, Jean-Roch Vlimant, et al.. (2021). Charged particle tracking with quantum annealing optimization. Quantum Machine Intelligence. 3(2). 15 indexed citations
5.
Zlokapa, Alexander, A. Mott, Joshua Job, et al.. (2020). Quantum adiabatic machine learning by zooming into a region of the energy surface. Physical review. A. 102(6). 17 indexed citations
6.
Mott, A., Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, & M. Spiropulu. (2017). Solving a Higgs optimization problem with quantum annealing for machine learning. Nature. 550(7676). 375–379. 133 indexed citations
7.
Hen, Itay, Joshua Job, Tameem Albash, et al.. (2015). Probing for quantum speedup in spin-glass problems with planted solutions. Physical Review A. 92(4). 100 indexed citations
8.
Job, Joshua, et al.. (2014). Performance of quantum annealing on random Ising problems implemented using the D-Wave Two. Bulletin of the American Physical Society. 2014. 1 indexed citations
9.
Wang, Zhihui, Joshua Job, Sergei V. Isakov, et al.. (2014). Probing for quantum speedup on D-Wave Two. Bulletin of the American Physical Society. 2014. 1 indexed citations
10.
Rønnow, Troels F., Zhihui Wang, Joshua Job, et al.. (2014). Defining and detecting quantum speedup. Science. 345(6195). 420–424. 363 indexed citations breakdown →

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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