Joseph K. Iverson

596 citations
7 papers · 379 indexed · 1 hit paper · h-index 4

Joseph K. Iverson

7 papers receiving 365 citations

Hit Papers

Building a Fault-Tolerant Quantum Computer Using Concaten...172202220262023202450100150

Peers

Joseph K. Iverson
Comparison fields: 5 of 19
  • Atomic and Molecular Physics, and Optics 294
  • Artificial Intelligence 293
  • Computational Theory and Mathematics 36
  • Acoustics and Ultrasonics 2
  • Statistical and Nonlinear Physics 17
Replace Marc Beekman with:
Marc Beekman Netherlands
Nandini Muthusubramanian Netherlands
B. Lekitsch United Kingdom
T. G. Ballance United Kingdom
L. J. Stephenson United Kingdom
Simon Storz Switzerland
Nathan Earnest United States
Yuuki Tokunaga Japan
Shraddha Singh United States
Neereja Sundaresan United States
Joseph K. Iverson relative to Marc Beekman Netherlands Marc Beekman's profile →
Citations per field
00.5×1.5×
Marc Beekman · 1×
Citations per year

Countries citing papers authored by Joseph K. Iverson

Since Specialization
Citations

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

Fields of papers citing papers by Joseph K. Iverson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph K. Iverson. 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 Joseph K. Iverson. The network helps show where Joseph K. Iverson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Joseph K. Iverson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joseph K. Iverson Line = papers co-authored together Joseph K. Iverson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20251
2 20251
3 20221
4
Building a Fault-Tolerant Quantum Computer Using Concatenated Cat Codesbreakdown →
2022172
5 202235
6 2021129
7 202040

About Joseph K. Iverson

Joseph K. Iverson is a scholar working on Artificial Intelligence, Hardware and Architecture and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (5 papers), Quantum and electron transport phenomena (2 papers), Advancements in Semiconductor Devices and Circuit Design (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Quantum-Dot Cellular Automata (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (294 citations), Artificial Intelligence (293 citations) and Computational Theory and Mathematics (36 citations). Joseph K. Iverson has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include John Preskill, Oskar Painter, Fernando G. S. L. Brandão, Liang Jiang, Vinicius S. Ferreira, Miguel Bello, Xueyue Zhang, Alejandro González-Tudela, Mohammad Mirhosseini and Eunjong Kim. Their work appears in journals such as New Journal of Physics, Physical Review X and Physical Review Research.

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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