Leigh S. Martin

1.6k citations
25 papers · 626 indexed · h-index 12
Topics
Quantum Information and Cryptography (15 papers)Quantum Mechanics and Applications (10 papers)Quantum Computing Algorithms and Architecture (9 papers)

In The Last Decade

Leigh S. Martin

25 papers receiving 609 citations

Peers

Leigh S. Martin
Comparison fields: 5 of 44
  • Atomic and Molecular Physics, and Optics 497
  • Artificial Intelligence 364
  • Statistical and Nonlinear Physics 82
  • Radiation 61
  • Spectroscopy 55
Replace H.B. van Linden van den Heuvell with:
H.B. van Linden van den Heuvell Netherlands
Matthieu Viteau France
Agapi Emmanouilidou United Kingdom
A. T. Georges United States
G. Drobný Slovakia
D. M. Segal United Kingdom
Javier Madroñero Germany
A. Perrin France
Nitzan Akerman Israel
G. Breitenbach Germany
Leigh S. Martin relative to H.B. van Linden van den Heuvell Netherlands H.B. van Linden van den Heuvell's profile →
Citations per field
00.5×10×13.5×
H.B. van Linden van den Heuvell · 1×
Citations per year

Countries citing papers authored by Leigh S. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Leigh S. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leigh S. Martin. 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 Leigh S. Martin. The network helps show where Leigh S. Martin may publish in the future.

Co-authorship network of co-authors of Leigh S. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Leigh S. Martin. A scholar is included among the top collaborators of Leigh S. Martin 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 Leigh S. Martin. Leigh S. Martin 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 3
2 3
3 9
4 6
5 6
6 14
7
Nonequilibrium dissociative dynamics of D2 in two-color, few-photon excitation and ionization
3
8 10
9 5
10 37
11 34
12 12
13 10
14 95
15 96
16 11
17 21
18 9
19 52
20 1

About Leigh S. Martin

Leigh S. Martin is a scholar working on Structural Biology, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 25 papers that have together received 626 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (10 papers) and Quantum Computing Algorithms and Architecture (9 papers). The work is most often cited by research in Structural Biology (32 citations), Atomic and Molecular Physics, and Optics (497 citations) and Artificial Intelligence (364 citations). Leigh S. Martin has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Shay Hacohen-Gourgy, Irfan Siddiqi, Emmanuel Flurin, K. Birgitta Whaley, Henry C. Kapteyn, Vinay Ramasesh, Margaret M. Murnane, Mollie E. Schwartz, Hakan E. Türeci and Camille Aron. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review 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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