Jennifer Sears
- Condensed Matter Physics top 1%
- Advanced Condensed Matter Physics 13
- Physics of Superconductivity and Magnetism 9
- Rare-earth and actinide compounds 3
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 7
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- Magnetic and transport properties of perovskites and related materials 9
- Iron-based superconductors research 4
- Infectious Diseases top 10%
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- Travel-related health issues 5
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- Perovskite Materials and Applications 5
- Co-authors
- Young‐June KimYang ZhaoJ. P. ClancyYiming QiuD. ParshallM. SongvilayK. W. PlumbJ. W. Lynn
- Journals
- Physical Review Letters (2 papers)Nature Communications (1 paper)Physical Review B (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jennifer Sears
26 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Condensed Matter Physics 909
- Modeling and Simulation 146
- Electronic, Optical and Magnetic Materials 563
- Infectious Diseases 127
- Public Health, Environmental and Occupational Health 194
Countries citing papers authored by Jennifer Sears
This map shows the geographic impact of Jennifer Sears'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 Sears with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Sears more than expected).
Fields of papers citing papers by Jennifer Sears
This network shows the impact of papers produced by Jennifer Sears. 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 Sears. The network helps show where Jennifer Sears may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Sears, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 92 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 155 | |
| 13 | 2016 | 42 | |
| 14 | 2015 | 43 | |
| 15 | 2014 | 31 | |
| 16 | 2013 | 60 | |
| 17 | 2012 | 55 | |
| 18 | 2010 | 36 | |
| 19 | 2010 | 61 | |
| 20 | 1993 | 22 |
About Jennifer Sears
Jennifer Sears is a scholar working on Modeling and Simulation, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Condensed Matter Physics (13 papers), Magnetic and transport properties of perovskites and related materials (9 papers), Physics of Superconductivity and Magnetism (9 papers), COVID-19 epidemiological studies (7 papers), Travel-related health issues (5 papers), Perovskite Materials and Applications (5 papers), Iron-based superconductors research (4 papers) and Rare-earth and actinide compounds (3 papers). The work is most often cited by research in Condensed Matter Physics (909 citations), Modeling and Simulation (146 citations) and Electronic, Optical and Magnetic Materials (563 citations). Jennifer Sears has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Young‐June Kim, Yang Zhao, J. P. Clancy, Yiming Qiu, D. Parshall, M. Songvilay, K. W. Plumb, J. W. Lynn, Zhijun Xu and Kamran Khan. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review B.
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.