Daniel Miller

431 total citations
15 papers, 297 citations indexed

About

Daniel Miller is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Daniel Miller has authored 15 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Daniel Miller's work include Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum and electron transport phenomena (3 papers). Daniel Miller is often cited by papers focused on Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum and electron transport phenomena (3 papers). Daniel Miller collaborates with scholars based in United States, Germany and Switzerland. Daniel Miller's co-authors include T.J. Nestrick, L.L. Lamparski, R. O. Kagel, R. H. Stehl, L. A. Shadoff, James S. Woods, Sergio S. Cutié, Warren B. Crummett, Kenneth R. Brown and Muyuan Li and has published in prestigious journals such as Science, Journal of Clinical Oncology and Chemosphere.

In The Last Decade

Daniel Miller

14 papers receiving 251 citations

Peers

Daniel Miller
Kyle Glover United States
Yuri Markushin United States
Shuyan Ma China
Richard R. Hark United States
D. Moir Canada
Kyle Glover United States
Daniel Miller
Citations per year, relative to Daniel Miller Daniel Miller (= 1×) peers Kyle Glover

Countries citing papers authored by Daniel Miller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Miller

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

All Works

15 of 15 papers shown
1.
Miller, Daniel, et al.. (2024). Hardware-tailored diagonalization circuits. npj Quantum Information. 10(1). 122–122. 7 indexed citations
2.
Schmidt, Frank L., Daniel Miller, & Peter van Loock. (2024). Error-corrected quantum repeaters with Gottesman-Kitaev-Preskill qudits. Physical review. A. 109(4). 7 indexed citations
3.
Miller, Daniel, et al.. (2023). Shor–Laflamme distributions of graph states and noise robustness of entanglement. Journal of Physics A Mathematical and Theoretical. 56(33). 335303–335303. 3 indexed citations
4.
Bhambhvani, Hriday P., Stephen Cook, Daniel Miller, et al.. (2022). Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform.. Journal of Clinical Oncology. 40(16_suppl). e16295–e16295. 2 indexed citations
5.
Miller, Daniel, et al.. (2019). Comment on “Fully device-independent conference key agreement”. Physical review. A. 100(2). 4 indexed citations
6.
Miller, Daniel, et al.. (2018). Propagation of generalized Pauli errors in qudit Clifford circuits. Physical review. A. 98(5). 12 indexed citations
7.
Li, Muyuan, Daniel Miller, & Kenneth R. Brown. (2018). Direct measurement of Bacon-Shor code stabilizers. Physical review. A. 98(5). 17 indexed citations
8.
Miller, Daniel, Neal Master, Zhengyuan Zhou, & Nicholas Bambos. (2014). Scalable Data Center Power Management via a Global Stress Signal. 2015 IEEE Global Communications Conference (GLOBECOM). 10. 1–7.
9.
Lovely, Richard W., et al.. (2002). Rats can discriminate illuminance, but not magnetic fields, as a stimulus for learning a two‐choice discrimination. Bioelectromagnetics. 23(7). 545–549. 2 indexed citations
10.
Miller, Daniel. (1998). Toward semiclassical theory of quantum level correlations of generic chaotic systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(4). 4063–4076. 2 indexed citations
11.
Coates, George R., et al.. (1995). Applying Log Measurements Of Restricted Diffusion And T2 To Formation Evaluation. 8 indexed citations
12.
Miller, Daniel. (1987). Stack machine and compiler design. BYTE archive. 12(4). 177–185. 2 indexed citations
13.
Nestrick, T.J., L.L. Lamparski, Richard A. Hummel, et al.. (1986). Perspectives of a large scale environmental survey for chlorinated dioxins: overview and soil data. Chemosphere. 15(9-12). 1453–1460. 14 indexed citations
14.
Lamparski, L.L., T.J. Nestrick, Richard A. Hummel, et al.. (1986). Perspectives of a large scale environmental survey for chlorinated dioiins: water analyses. Chemosphere. 15(9-12). 1445–1452. 3 indexed citations
15.
Crummett, Warren B., Sergio S. Cutié, R. O. Kagel, et al.. (1980). Trace Chemistries of Fire: A Source of Chlorinated Dioxins. Science. 210(4468). 385–390. 214 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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