Matthew W. Daniels
- Atomic and Molecular Physics, and Optics top 5%
- Orthopedics and Sports Medicine top 2%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials top 10%
- Co-authors
- Di XiaoCraig TwistJamie HightonNikhil SivadasRobert H. SwendsenSatoshi OkamotoMark WaldronRan Cheng
- Topics
- Advanced Memory and Neural Computing (12 papers)Magnetic properties of thin films (10 papers)Sports Performance and Training (9 papers)
- Cited by
- Orthopedics and Sports MedicineCondensed Matter PhysicsElectronic, Optical and Magnetic Materials
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Matthew W. Daniels
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Atomic and Molecular Physics, and Optics 408
- Orthopedics and Sports Medicine 408
- Materials Chemistry 376
- Electrical and Electronic Engineering 284
- Electronic, Optical and Magnetic Materials 262
Countries citing papers authored by Matthew W. Daniels
This map shows the geographic impact of Matthew W. Daniels'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 Matthew W. Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. Daniels more than expected).
Fields of papers citing papers by Matthew W. Daniels
This network shows the impact of papers produced by Matthew W. Daniels. 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 Matthew W. Daniels. The network helps show where Matthew W. Daniels may publish in the future.
Co-authorship network of co-authors of Matthew W. Daniels
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Daniels. A scholar is included among the top collaborators of Matthew W. Daniels 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 Matthew W. Daniels. Matthew W. Daniels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 9 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 52 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 43 | |
| 13 | 94 | |
| 14 | 41 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 147 | |
| 18 | 126 | |
| 19 | 4 | |
| 20 | 4 |
About Matthew W. Daniels
Matthew W. Daniels is a scholar working on Orthopedics and Sports Medicine, Software and Condensed Matter Physics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Magnetic properties of thin films (10 papers) and Sports Performance and Training (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (408 citations), Condensed Matter Physics (261 citations) and Electronic, Optical and Magnetic Materials (262 citations). Matthew W. Daniels has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Di Xiao, Craig Twist, Jamie Highton, Nikhil Sivadas, Robert H. Swendsen, Satoshi Okamoto, Mark Waldron, Ran Cheng, Paul Worsfold and Dean Burt. Their work appears in journals such as Nature Communications, Nano Letters 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.