Jennifer L. Dodd
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics
- Atmospheric Science
- Co-authors
- Michael A. NielsenMichael J. BremnerChristopher M. DawsonAram W. HarrowDuncan MortimerAlexei GilchristTobias J. OsborneAndrew M. Childs
- Topics
- Calibration and Measurement Techniques (8 papers)Quantum Information and Cryptography (7 papers)Quantum Mechanics and Applications (6 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Jennifer L. Dodd
16 papers receiving 521 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 475
- Atomic and Molecular Physics, and Optics 415
- Computational Theory and Mathematics 48
- Statistical and Nonlinear Physics 28
- Atmospheric Science 23
Countries citing papers authored by Jennifer L. Dodd
This map shows the geographic impact of Jennifer L. Dodd'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 Jennifer L. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Dodd more than expected).
Fields of papers citing papers by Jennifer L. Dodd
This network shows the impact of papers produced by Jennifer L. Dodd. 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 Jennifer L. Dodd. The network helps show where Jennifer L. Dodd may publish in the future.
Co-authorship network of co-authors of Jennifer L. Dodd
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Dodd. A scholar is included among the top collaborators of Jennifer L. Dodd 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 Jennifer L. Dodd. Jennifer L. Dodd 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 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 117 | |
| 11 | 20 | |
| 12 | 171 | |
| 13 | 75 | |
| 14 | 18 | |
| 15 | 92 | |
| 16 | 4 |
About Jennifer L. Dodd
Jennifer L. Dodd is a scholar working on Aerospace Engineering, Atmospheric Science and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 538 indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (8 papers), Quantum Information and Cryptography (7 papers) and Quantum Mechanics and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (475 citations), Atomic and Molecular Physics, and Optics (415 citations) and Computational Mathematics (3 citations). Jennifer L. Dodd has collaborated with scholars based in United States and Australia. Frequent co-authors include Michael A. Nielsen, Michael J. Bremner, Christopher M. Dawson, Aram W. Harrow, Duncan Mortimer, Alexei Gilchrist, Tobias J. Osborne, Andrew M. Childs, Andrew P. Hines and G. J. Milburn. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Geoscience and Remote Sensing and Physical Review A.
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.