David C. Collins

2.7k total citations
52 papers, 1.2k citations indexed

About

David C. Collins is a scholar working on Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, David C. Collins has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Astronomy and Astrophysics, 13 papers in Atomic and Molecular Physics, and Optics and 13 papers in Artificial Intelligence. Recurrent topics in David C. Collins's work include Astrophysics and Star Formation Studies (16 papers), Quantum Computing Algorithms and Architecture (12 papers) and Quantum Information and Cryptography (12 papers). David C. Collins is often cited by papers focused on Astrophysics and Star Formation Studies (16 papers), Quantum Computing Algorithms and Architecture (12 papers) and Quantum Information and Cryptography (12 papers). David C. Collins collaborates with scholars based in United States, Spain and Finland. David C. Collins's co-authors include Hao Xu, Michael L. Norman, Hui Li, Paolo Padoan, W. C. Holton, K. W. Kim, Brian W. O’Shea, Shengtai Li, William S. Meisel and Alexei G. Kritsuk and has published in prestigious journals such as The Astrophysical Journal, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

David C. Collins

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David C. Collins United States 19 827 221 218 176 74 52 1.2k
Keigo Nitadori Japan 16 766 0.9× 82 0.4× 87 0.4× 82 0.5× 18 0.2× 36 1.1k
Peter Teuben United States 22 2.0k 2.4× 199 0.9× 35 0.2× 58 0.3× 90 1.2× 65 2.3k
C. Morisset Mexico 25 2.1k 2.6× 159 0.7× 70 0.3× 138 0.8× 97 1.3× 132 2.4k
Tetsuo Hasegawa Japan 28 2.2k 2.6× 329 1.5× 39 0.2× 288 1.6× 356 4.8× 122 2.5k
Yoshihiro Chikada Japan 11 385 0.5× 37 0.2× 28 0.1× 107 0.6× 50 0.7× 33 543
M. F. Bode United Kingdom 22 1.1k 1.4× 263 1.2× 21 0.1× 73 0.4× 95 1.3× 82 1.3k
J. Fernandes Portugal 16 661 0.8× 107 0.5× 65 0.3× 39 0.2× 23 0.3× 72 864
Sachiko K. Okumura Japan 17 713 0.9× 113 0.5× 13 0.1× 37 0.2× 26 0.4× 36 784
H. E. Payne United States 13 1.0k 1.2× 288 1.3× 12 0.1× 80 0.5× 43 0.6× 30 1.1k

Countries citing papers authored by David C. Collins

Since Specialization
Citations

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

Fields of papers citing papers by David C. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Collins. 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 David C. Collins. The network helps show where David C. Collins may publish in the future.

Co-authorship network of co-authors of David C. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Collins. A scholar is included among the top collaborators of David C. Collins 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 David C. Collins. David C. Collins 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
1.
Collins, David C., et al.. (2024). Planck Dust Polarization Power Spectra Are Consistent with Strongly Supersonic Turbulence. The Astrophysical Journal. 972(1). 26–26. 3 indexed citations
2.
Collins, David C., et al.. (2023). Density and velocity correlations in isothermal supersonic turbulence. Monthly Notices of the Royal Astronomical Society. 525(1). 297–310. 5 indexed citations
3.
Collins, David C., et al.. (2022). Collapsing molecular clouds with tracer particles – I. What collapses?. Monthly Notices of the Royal Astronomical Society. 520(3). 4194–4208. 8 indexed citations
4.
Hristov, Boyan A., P. Hoêflich, & David C. Collins. (2021). Physics of Thermonuclear Explosions: Magnetic Field Effects on Deflagration Fronts and Observable Consequences. The Astrophysical Journal. 923(2). 210–210. 7 indexed citations
5.
Hoêflich, P., C. Ashall, S. Bose, et al.. (2021). Measuring an Off-center Detonation through Infrared Line Profiles: The Peculiar Type Ia Supernova SN 2020qxp/ASASSN-20jq. The Astrophysical Journal. 922(2). 186–186. 10 indexed citations
6.
Hummels, Cameron, Britton Smith, Philip F. Hopkins, et al.. (2019). The Impact of Enhanced Halo Resolution on the Simulated Circumgalactic Medium. The Astrophysical Journal. 882(2). 156–156. 152 indexed citations
7.
Malinen, J., L. Montier, J. Montillaud, et al.. (2016). Matching dust emission structures and magnetic field in high-latitude cloud L1642: comparingHerschelandPlanckmaps. Monthly Notices of the Royal Astronomical Society. 460(2). 1934–1945. 38 indexed citations
8.
Collins, David C., Paolo Padoan, Michael L. Norman, & Hao Xu. (2011). MASS AND MAGNETIC DISTRIBUTIONS IN SELF-GRAVITATING SUPER-ALFVÉNIC TURBULENCE WITH ADAPTIVE MESH REFINEMENT. The Astrophysical Journal. 731(1). 59–59. 37 indexed citations
9.
Collins, David C. & Michael L. Norman. (2004). Devolopment of an AMR MHD module for the code Enzo. American Astronomical Society Meeting Abstracts. 205.
10.
Collins, David C.. (2002). Modified Grover’s algorithm for an expectation-value quantum computer. Physical Review A. 65(5). 10 indexed citations
11.
Collins, David C., et al.. (2001). An analysis of the output of the Hadley Centre Unified Model forecast for Southern Africa using Nonlinear Primary Component Analysis (NLPCA) for feature recognition.. AGU Spring Meeting Abstracts. 2001. 1 indexed citations
12.
Collins, David C., K. W. Kim, W. C. Holton, Hanna Sierzputowska‐Gracz, & E. O. Stejskal. (2000). NMR quantum computation with indirectly coupled gates. Physical Review A. 62(2). 38 indexed citations
13.
Collins, David C.. (1997). Two-state quantum systems interacting with their environments: A functional integral approach. 691. 1 indexed citations
14.
Wolf, Ralph J., David C. Collins, & Howard R. Mayne. (1985). The effect of surface corrugation on molecule-crystal collisions. Chemical Physics Letters. 119(6). 533–537. 19 indexed citations
15.
Meisel, William S. & David C. Collins. (1972). Structural Languages and Biomedical Signal Analysis Using Interactive Graphics,. Defense Technical Information Center (DTIC). 1 indexed citations
16.
Collins, David C. & Edward Angel. (1971). The diagonal decomposition technique applied to the dynamic programming solution of elliptic partial differential equations. Journal of Mathematical Analysis and Applications. 33(3). 467–481. 4 indexed citations
17.
Collins, David C., et al.. (1970). Dimensional approximation in dynamic programming by structural decomposition. Journal of Mathematical Analysis and Applications. 30(2). 375–384. 9 indexed citations
18.
Collins, David C.. (1970). Reduction of dimensionality in dynamic programming via the method of diagonal decomposition. Journal of Mathematical Analysis and Applications. 30(1). 223–234. 12 indexed citations
19.
Collins, David C.. (1970). Terminal state dynamic programming: Quadratic costs, linear differential equations. Journal of Mathematical Analysis and Applications. 31(2). 235–253. 3 indexed citations
20.
Collins, David C.. (1970). Terminal state dynamic programming for differential-difference equations. Journal of Mathematical Analysis and Applications. 31(3). 487–503. 3 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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