Jonathan T. Alvarez
- Biomedical Engineering
- Mechanical Engineering
- Condensed Matter Physics
- Cognitive Neuroscience
- Molecular Biology
- Co-authors
- Conor J. WalshChristopher J. PayneDaniel J. PrestonGeorge M. WhitesidesRobert J. WoodBo Ri SeoStephanie L. McNamaraDavid Mooney
- Topics
- Muscle activation and electromyography studies (6 papers)Advanced Sensor and Energy Harvesting Materials (6 papers)Sports Performance and Training (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsAdvanced Functional Materials
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Jonathan T. Alvarez
10 papers receiving 296 citations
Peers
Comparison fields: 5 of 74
- Biomedical Engineering 203
- Mechanical Engineering 96
- Condensed Matter Physics 39
- Cognitive Neuroscience 36
- Molecular Biology 33
Countries citing papers authored by Jonathan T. Alvarez
This map shows the geographic impact of Jonathan T. Alvarez'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 Jonathan T. Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. Alvarez more than expected).
Fields of papers citing papers by Jonathan T. Alvarez
This network shows the impact of papers produced by Jonathan T. Alvarez. 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 Jonathan T. Alvarez. The network helps show where Jonathan T. Alvarez may publish in the future.
Co-authorship network of co-authors of Jonathan T. Alvarez
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan T. Alvarez. A scholar is included among the top collaborators of Jonathan T. Alvarez 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 Jonathan T. Alvarez. Jonathan T. Alvarez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 19 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 59 | |
| 8 | 28 | |
| 9 | 46 | |
| 10 | 65 | |
| 11 | 57 |
About Jonathan T. Alvarez
Jonathan T. Alvarez is a scholar working on Orthopedics and Sports Medicine, Rehabilitation and Biomedical Engineering, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Sports Performance and Training (4 papers). The work is most often cited by research in Biomedical Engineering (203 citations), Condensed Matter Physics (39 citations) and Rehabilitation (19 citations). Jonathan T. Alvarez has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Conor J. Walsh, Christopher J. Payne, Daniel J. Preston, George M. Whitesides, Robert J. Wood, Bo Ri Seo, Stephanie L. McNamara, David Mooney, Herman H. Vandenburgh and Benjamin R. Freedman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Advanced Functional Materials.
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.