David C. Collins
- Astronomy and Astrophysics top 2%
- Nuclear and High Energy Physics top 10%
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Atmospheric Science
- Topics
- Astrophysics and Star Formation Studies (16 papers)Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (12 papers)
- Partner nations
- United StatesSpainFinland
In The Last Decade
David C. Collins
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Astronomy and Astrophysics 827
- Nuclear and High Energy Physics 221
- Artificial Intelligence 218
- Atomic and Molecular Physics, and Optics 176
- Atmospheric Science 74
Countries citing papers authored by David C. Collins
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 152 | |
| 7 | 38 | |
| 8 | 37 | |
| 9 | Devolopment of an AMR MHD module for the code Enzo | 0 |
| 10 | 10 | |
| 11 | An analysis of the output of the Hadley Centre Unified Model forecast for Southern Africa using Nonlinear Primary Component Analysis (NLPCA) for feature recognition. | 1 |
| 12 | 38 | |
| 13 | Two-state quantum systems interacting with their environments: A functional integral approach | 1 |
| 14 | 19 | |
| 15 | Structural Languages and Biomedical Signal Analysis Using Interactive Graphics, | 1 |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 3 |
About David C. Collins
David C. Collins is a scholar working on Astronomy and Astrophysics, Fluid Flow and Transfer Processes and Atomic and Molecular Physics, and Optics, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Astrophysics and Star Formation Studies (16 papers), Quantum Computing Algorithms and Architecture (12 papers) and Quantum Information and Cryptography (12 papers). The work is most often cited by research in Astronomy and Astrophysics (827 citations), Nuclear and High Energy Physics (221 citations) and Instrumentation (56 citations). David C. Collins has collaborated with scholars based in United States, Spain and Finland. Frequent 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. Their work appears in journals such as The Astrophysical Journal, IEEE Transactions on Automatic Control and Proceedings of the IEEE.
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.