Eleanor Crane

484 citations
18 papers · 212 · h-index 8

Impact in

Papers in

Eleanor Crane

18 papers receiving 199 citations

Peers

Eleanor Crane
Comparison fields: 5 of 65
  • Structural Biology 6
  • Atomic and Molecular Physics, and Optics 121
  • Artificial Intelligence 72
  • Statistical and Nonlinear Physics 13
  • Electrical and Electronic Engineering 52
Replace Eliška Greplová with:
Eliška Greplová Netherlands
Haifeng Qiao United States
Clarice D. Aiello United States
Catherine Leroux Canada
J. Fekete Hungary
Gefen Baranes United States
Andreas Wallucks Netherlands
Pablo Solano United States
Holger Büch Australia
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Citations per field
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Citations per year

Countries citing papers authored by Eleanor Crane

Since Specialization
Citations

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

Fields of papers citing papers by Eleanor Crane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202046
2 202338
3 195128
4 202320
5 202419
6 200918
7 202212
8 202510
9 19674
10 20234
11 20184
12 20192
13
Study methods. A personal contract.
19912
14
Atomic Scale Patterned Arsenic in Silicon
20191
15 20191
16 20251
17 20211
18 20221

About Eleanor Crane

Eleanor Crane is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology, having authored 18 papers that have together received 212 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Quantum and electron transport phenomena (7 papers), Quantum many-body systems (4 papers), Neural Networks and Reservoir Computing (2 papers), Diet and metabolism studies (1 paper), Advanced Condensed Matter Physics (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Structural Biology (6 citations), Atomic and Molecular Physics, and Optics (121 citations), Artificial Intelligence (72 citations), Statistical and Nonlinear Physics (13 citations) and Electrical and Electronic Engineering (52 citations). Eleanor Crane has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Reginald Davies, Kevin C. Smith, Nathan Wiebe, S. M. Girvin, Alexander Schuckert, Annabelle Bohrdt, Neil J. Curson, Steven R. Schofield, Michael Knap and Oliver Warschkow. Their work appears in journals such as Physical review. B., PRX Quantum, Advanced Science, Archives of Biochemistry and Biophysics and Journal of Physics A Mathematical and Theoretical.

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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