Christopher L. Baldwin
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence top 5%
- Condensed Matter Physics top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Chris R. LaumannAlexey V. GorshkovLucas T. BradyAniruddha BapatArijeet PalAntonello ScardicchioDavid J. MasielloNicholas Bigelow
- Topics
- Theoretical and Computational Physics (8 papers)Quantum many-body systems (7 papers)Opinion Dynamics and Social Influence (5 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Physical Chemistry Letters
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Christopher L. Baldwin
16 papers receiving 419 citations
Peers
Comparison fields: 5 of 45
- Atomic and Molecular Physics, and Optics 226
- Artificial Intelligence 224
- Condensed Matter Physics 89
- Statistical and Nonlinear Physics 73
- Computational Theory and Mathematics 55
Countries citing papers authored by Christopher L. Baldwin
This map shows the geographic impact of Christopher L. Baldwin'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 Christopher L. Baldwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher L. Baldwin more than expected).
Fields of papers citing papers by Christopher L. Baldwin
This network shows the impact of papers produced by Christopher L. Baldwin. 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 Christopher L. Baldwin. The network helps show where Christopher L. Baldwin may publish in the future.
Co-authorship network of co-authors of Christopher L. Baldwin
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher L. Baldwin. A scholar is included among the top collaborators of Christopher L. Baldwin 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 Christopher L. Baldwin. Christopher L. Baldwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 80 | |
| 10 | 146 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 35 | |
| 15 | 40 | |
| 16 | 28 | |
| 17 | 35 | |
| 18 | 2 |
About Christopher L. Baldwin
Christopher L. Baldwin is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 18 papers that have together received 431 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (8 papers), Quantum many-body systems (7 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Condensed Matter Physics (89 citations), Atomic and Molecular Physics, and Optics (226 citations) and Artificial Intelligence (224 citations). Christopher L. Baldwin has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Chris R. Laumann, Alexey V. Gorshkov, Lucas T. Brady, Aniruddha Bapat, Arijeet Pal, Antonello Scardicchio, David J. Masiello, Nicholas Bigelow, Harvey Kaplan and Fangli Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Physical Chemistry Letters.
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.