Matthew House

1.6k citations
38 papers · 979 · h-index 17

Impact in

Papers in

Matthew House

33 papers receiving 957 citations

Peers

Matthew House
Comparison fields: 5 of 66
  • Atomic and Molecular Physics, and Optics 736
  • Neurology 85
  • Artificial Intelligence 303
  • Electrical and Electronic Engineering 513
  • Sensory Systems 38
Replace Yihua Bai with:
Yihua Bai China
R. W. Epworth United States
Emanuele Polino Italy
Riccardo Natali Italy
Bruce F. Field United States
Kang-Hun Ahn South Korea
Edward H. Chen United States
A. Maruani France
Dongyang Wang China
S. Lüscher Germany
Matthew House relative to Yihua Bai China Yihua Bai's profile →
Citations per field
00.5×10.4×
Yihua Bai · 1×
Citations per year

Countries citing papers authored by Matthew House

Since Specialization
Citations

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

Fields of papers citing papers by Matthew House

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew House, 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 Matthew House Line = papers co-authored together Matthew House links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015171
2 201096
3 200886
4 200382
5 201550
6 201849
7 201848
8 201943
9 201542
10 201732
11 202131
12 201628
13 201028
14 201821
15 201519
16 201618
17 201416
18
Addressable electron spin resonance using donors and \ndonor molecules in silicos
201815
19 201415
20 200111

About Matthew House

Matthew House is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 38 papers that have together received 979 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (26 papers), Advancements in Semiconductor Devices and Circuit Design (14 papers), Quantum Computing Algorithms and Architecture (8 papers), Semiconductor materials and devices (8 papers), Quantum Information and Cryptography (8 papers), Semiconductor Quantum Structures and Devices (7 papers), Advancements in Photolithography Techniques (3 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (736 citations), Neurology (85 citations), Artificial Intelligence (303 citations), Electrical and Electronic Engineering (513 citations) and Sensory Systems (38 citations). Matthew House has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include M. Y. Simmons, Hong-Wen Jiang, Samuel J. Hile, Vicente Honrubia, Sven Rogge, Eldad Peretz, Mengyuan Xiao, Thomas F. Watson, Charles D. Hill and Martin Fuechsle. Their work appears in journals such as Applied Physics Letters, Physical Review Letters, Nature Communications, Science Advances and Physical Review B.

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.

Explore authors with similar magnitude of impact