Adam N. McCaughan

1.3k citations
40 papers · 845 indexed · h-index 17
Topics
Photonic and Optical Devices (15 papers)Neural Networks and Reservoir Computing (12 papers)Physics of Superconductivity and Magnetism (11 papers)
Journals
NatureSHILAP Revista de lepidopterologíaNano Letters
Partner nations
United StatesItalyCanada

In The Last Decade

Adam N. McCaughan

38 papers receiving 778 citations

Peers

Adam N. McCaughan
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 478
  • Atomic and Molecular Physics, and Optics 319
  • Artificial Intelligence 306
  • Condensed Matter Physics 189
  • Instrumentation 165
Replace Andrew E. Dane with:
Andrew E. Dane United States
Francesco Bellei United States
Roman Sobolewski United States
Samuel Gyger Sweden
Sean D. Harrington United States
Xiaolong Hu China
Adriana Lita United States
Vikas Anant United States
S. N. Dorenbos Netherlands
Kristine M. Rosfjord United States
Adam N. McCaughan relative to Andrew E. Dane United States Andrew E. Dane's profile →
Citations per field
00.5×1.5×
Andrew E. Dane · 1×
Citations per year

Countries citing papers authored by Adam N. McCaughan

Since Specialization
Citations

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

Fields of papers citing papers by Adam N. McCaughan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam N. McCaughan. 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 Adam N. McCaughan. The network helps show where Adam N. McCaughan may publish in the future.

Co-authorship network of co-authors of Adam N. McCaughan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 61
5 8
6 2
7 2
8 18
9 63
10 10
11 49
12 38
13 12
14 11
15 43
16 18
17 44
18
A scalable single-photon imager using a single superconducting nanowire
1
19 8
20 38

About Adam N. McCaughan

Adam N. McCaughan is a scholar working on Instrumentation, Condensed Matter Physics and Structural Biology, having authored 40 papers that have together received 845 indexed citations. Recurring topics across this work include Photonic and Optical Devices (15 papers), Neural Networks and Reservoir Computing (12 papers) and Physics of Superconductivity and Magnetism (11 papers). The work is most often cited by research in Instrumentation (165 citations), Acoustics and Ultrasonics (19 citations) and Condensed Matter Physics (189 citations). Adam N. McCaughan has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Karl K. Berggren, Qingyuan Zhao, Andrew E. Dane, Francesco Bellei, Sae Woo Nam, Sonia Buckley, Jason P. Allmaras, Jeffrey M. Shainline, Niccolò Calandri and Di Zhu. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nano Letters.

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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