Dylan H. Mahler

59 total papers · 1.4k total citations
25 papers, 822 citations indexed

About

Dylan H. Mahler is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Dylan H. Mahler has authored 25 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 18 papers in Artificial Intelligence and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Dylan H. Mahler's work include Quantum Information and Cryptography (18 papers), Quantum Mechanics and Applications (13 papers) and Quantum Computing Algorithms and Architecture (6 papers). Dylan H. Mahler is often cited by papers focused on Quantum Information and Cryptography (18 papers), Quantum Mechanics and Applications (13 papers) and Quantum Computing Algorithms and Architecture (6 papers). Dylan H. Mahler collaborates with scholars based in Canada, United Kingdom and Australia. Dylan H. Mahler's co-authors include Lee A. Rozema, Aephraim M. Steinberg, Alex Hayat, Ardavan Darabi, Yasaman Soudagar, Kent Bonsma-Fisher, L. Vermeyden, Howard M. Wiseman, K. J. Resch and Robin Blume-Kohout and has published in prestigious journals such as Physical Review Letters, Physical Review B and Physical Review A.

In The Last Decade

Dylan H. Mahler

24 papers receiving 778 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dylan H. Mahler 654 517 158 101 42 25 822
Kent Bonsma-Fisher 731 1.1× 590 1.1× 225 1.4× 103 1.0× 34 0.8× 31 924
Yu-Huai Li 595 0.9× 626 1.2× 180 1.1× 35 0.3× 36 0.9× 25 765
Bradley Christensen 577 0.9× 541 1.0× 132 0.8× 45 0.4× 13 0.3× 23 710
Marco Gramegna 701 1.1× 644 1.2× 97 0.6× 132 1.3× 33 0.8× 68 902
Megan Agnew 849 1.3× 689 1.3× 133 0.8× 51 0.5× 110 2.6× 30 1.0k
Yanbao Zhang 611 0.9× 612 1.2× 62 0.4× 55 0.5× 19 0.5× 28 770
Davide G. Marangon 523 0.8× 625 1.2× 156 1.0× 34 0.3× 18 0.4× 27 767
Bruno Sanguinetti 585 0.9× 564 1.1× 197 1.2× 10 0.1× 33 0.8× 32 771
Deny R. Hamel 837 1.3× 783 1.5× 104 0.7× 111 1.1× 12 0.3× 22 923
L. J. Wang 869 1.3× 616 1.2× 169 1.1× 34 0.3× 80 1.9× 16 997

Countries citing papers authored by Dylan H. Mahler

Since Specialization
Citations

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

Fields of papers citing papers by Dylan H. Mahler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan H. Mahler. 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 Dylan H. Mahler. The network helps show where Dylan H. Mahler may publish in the future.

Co-authorship network of co-authors of Dylan H. Mahler

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

All Works

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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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