Michael L. Fanto
- Electrical and Electronic Engineering top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Paul M. AlsingStefan F. PrebleChristopher C. TisonDirk EnglundA. Matthew SmithJeffrey A. SteidleJacques CarolanTom Baehr‐Jones
- Topics
- Photonic and Optical Devices (55 papers)Advanced Fiber Laser Technologies (25 papers)Neural Networks and Reservoir Computing (19 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michael L. Fanto
60 papers receiving 841 citations
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 717
- Atomic and Molecular Physics, and Optics 461
- Artificial Intelligence 411
- Biomedical Engineering 85
- Materials Chemistry 45
Countries citing papers authored by Michael L. Fanto
This map shows the geographic impact of Michael L. Fanto'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 Michael L. Fanto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Fanto more than expected).
Fields of papers citing papers by Michael L. Fanto
This network shows the impact of papers produced by Michael L. Fanto. 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 Michael L. Fanto. The network helps show where Michael L. Fanto may publish in the future.
Co-authorship network of co-authors of Michael L. Fanto
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Fanto. A scholar is included among the top collaborators of Michael L. Fanto 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 Michael L. Fanto. Michael L. Fanto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 43 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | 1 | |
| 16 | 118 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 2 |
About Michael L. Fanto
Michael L. Fanto is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 73 papers that have together received 874 indexed citations. Recurring topics across this work include Photonic and Optical Devices (55 papers), Advanced Fiber Laser Technologies (25 papers) and Neural Networks and Reservoir Computing (19 papers). The work is most often cited by research in Acoustics and Ultrasonics (24 citations), Atomic and Molecular Physics, and Optics (461 citations) and Artificial Intelligence (411 citations). Michael L. Fanto has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Paul M. Alsing, Stefan F. Preble, Christopher C. Tison, Dirk Englund, A. Matthew Smith, Jeffrey A. Steidle, Jacques Carolan, Tom Baehr‐Jones, Mihika Prabhu and Michael Hochberg. Their work appears in journals such as Nature Communications, Nano Letters and Applied Physics 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.