D. Wecker

1.6k citations
7 papers · 953 · 2 hit papers · h-index 4

Impact in

Papers in

D. Wecker

7 papers receiving 920 citations

D. Wecker's Hit Papers

Evidence for quantum annealing with more than one hundred qubits 2014 · 484 citations
4840+4+8Years since publication100200300400

Peers

D. Wecker
Comparison fields: 5 of 57
  • Artificial Intelligence 817
  • Atomic and Molecular Physics, and Optics 446
  • Computational Theory and Mathematics 167
  • Condensed Matter Physics 77
  • Acoustics and Ultrasonics 4
Replace Juha J. Vartiainen with:
Juha J. Vartiainen Finland
Troels F. Rønnow Switzerland
David Gosset United States
Geordie Rose Canada
Vinay Ramasesh United States
Paweł Wocjan United States
Hari Krovi United States
Tim Menke United States
Chu Guo China
Martin Laforest Canada
D. Wecker relative to Juha J. Vartiainen Finland Juha J. Vartiainen's profile →
Citations per field
00.5×2.8×
Juha J. Vartiainen · 1×
Citations per year

Countries citing papers authored by D. Wecker

Since Specialization
Citations

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

Fields of papers citing papers by D. Wecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside D. Wecker, 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 D. Wecker Line = papers co-authored together D. Wecker links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Evidence for quantum annealing with more than one hundred qubits
Hit paper breakdown →
2014484
2
Defining and detecting quantum speedup
Hit paper breakdown →
2014369
3 201574
4 198118
5 20183
6 19843
7 19822

About D. Wecker

D. Wecker is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Organic Chemistry, Electrical and Electronic Engineering and Atmospheric Science, having authored 7 papers that have together received 953 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (2 papers), Optical Network Technologies (1 paper), Inorganic and Organometallic Chemistry (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Atmospheric Ozone and Climate (1 paper), Advancements in Semiconductor Devices and Circuit Design (1 paper) and Electron Spin Resonance Studies (1 paper). The work is most often cited by research in Artificial Intelligence (817 citations), Atomic and Molecular Physics, and Optics (446 citations), Computational Theory and Mathematics (167 citations), Condensed Matter Physics (77 citations) and Acoustics and Ultrasonics (4 citations). D. Wecker has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Matthias Troyer, Zhihui Wang, Daniel A. Lidar, John M. Martinis, Sergei V. Isakov, Sergio Boixo, Troels F. Rønnow, Joshua Job, David Poulin and M. B. Hastings. Their work appears in journals such as Quantum Information and Computation, Nature Physics, Science, Berichte der Bunsengesellschaft für physikalische Chemie and Zeitschrift für Naturforschung A.

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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