Neil G. Dickson

3.4k total citations
12 papers, 495 citations indexed

About

Neil G. Dickson is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Neil G. Dickson has authored 12 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computer Networks and Communications. Recurrent topics in Neil G. Dickson's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Quantum and electron transport phenomena (4 papers). Neil G. Dickson is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Quantum and electron transport phenomena (4 papers). Neil G. Dickson collaborates with scholars based in Canada and United States. Neil G. Dickson's co-authors include Geordie Rose, Marshall Drew-Brook, Alejandro Perdomo‐Ortiz, Alán Aspuru‐Guzik, M. H. S. Amin, David I. W. Levin, Ryan Schmidt, Alec Jacobson, Firas Hamze and Kamran Karimi and has published in prestigious journals such as Physical Review Letters, Physical Review B and Scientific Reports.

In The Last Decade

Neil G. Dickson

12 papers receiving 457 citations

Peers

Neil G. Dickson

AI

AMPO

CTM

CM

CGCD

Douglas S. Gonçalves Brazil

Andrea Rocchetto United Kingdom

Matthias M. Müller Germany

James Saunderson Australia

Takashi Takemoto Japan

S. G. Hoggar United Kingdom

Jinjing Shi China

Etsuko Bannai Japan

H. Schröder Germany

Abdallah K. Cherri Kuwait

Douglas S. Gonçalves Brazil

Neil G. Dickson

74 ×0.2

AI

27 ×0.2

AMPO

73 ×0.7

CTM

75 ×0.9

CM

41 ×0.6

CGCD

Citations per year, relative to Neil G. Dickson Neil G. Dickson (= 1×) peers Douglas S. Gonçalves

Countries citing papers authored by Neil G. Dickson

Since Specialization

Citations

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

Fields of papers citing papers by Neil G. Dickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil G. Dickson. 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 Neil G. Dickson. The network helps show where Neil G. Dickson may publish in the future.

Co-authorship network of co-authors of Neil G. Dickson

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

All Works

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12 of 12 papers shown

1.

Dickson, Neil G., et al.. (2018). Fast winding numbers for soups and clouds. ACM Transactions on Graphics. 37(4). 1–12. 98 indexed citations

2.

Berkley, A. J., T. Lanting, R. Harris, et al.. (2013). Tunneling spectroscopy using a probe qubit. Physical Review B. 87(2). 22 indexed citations

3.

Amin, M. H. S., Anatoly Yu. Smirnov, Neil G. Dickson, & Marshall Drew-Brook. (2012). Approximate diagonalization method for large-scale Hamiltonians. Physical Review A. 86(5). 2 indexed citations

4.

Perdomo‐Ortiz, Alejandro, Neil G. Dickson, Marshall Drew-Brook, Geordie Rose, & Alán Aspuru‐Guzik. (2012). Finding low-energy conformations of lattice protein models by quantum annealing. Scientific Reports. 2(1). 571–571. 232 indexed citations

5.

Dickson, Neil G. & M. H. S. Amin. (2012). Algorithmic approach to adiabatic quantum optimization. Physical Review A. 85(3). 28 indexed citations

6.

Amin, M. H. S., Neil G. Dickson, & Peter M. Smith. (2012). Adiabatic quantum optimization with qudits. Quantum Information Processing. 12(4). 1819–1829. 12 indexed citations

7.

Dickson, Neil G. & M. H. S. Amin. (2011). Does Adiabatic Quantum Optimization Fail for NP-Complete Problems?. Physical Review Letters. 106(5). 50502–50502. 36 indexed citations

8.

Karimi, Kamran, Neil G. Dickson, Firas Hamze, et al.. (2011). Investigating the performance of an adiabatic quantum optimization processor. Quantum Information Processing. 11(1). 77–88. 20 indexed citations

9.

Dickson, Neil G., Kamran Karimi, & Firas Hamze. (2011). Importance of explicit vectorization for CPU and GPU software performance. Journal of Computational Physics. 230(13). 5383–5398. 18 indexed citations

10.

Dickson, Neil G.. (2011). Elimination of perturbative crossings in adiabatic quantum optimization. New Journal of Physics. 13(7). 73011–73011. 9 indexed citations

11.

Karimi, Kamran, Neil G. Dickson, & Firas Hamze. (2010). High-performance Physics Simulations Using Multi-core CPUs and GPGPUs in a Volunteer Computing Context. The International Journal of High Performance Computing Applications. 25(1). 61–69. 8 indexed citations

12.

Hamze, Firas, Neil G. Dickson, & Kamran Karimi. (2010). ROBUST PARAMETER SELECTION FOR PARALLEL TEMPERING. International Journal of Modern Physics C. 21(5). 603–615. 10 indexed citations

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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