Alexander Sludds
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Instrumentation
- Co-authors
- Dirk EnglundRyan HamerlyLiane BernsteinMarin SoljačićZaijun ChenSaumil BandyopadhyayMatthew StreshinskyMichael Hochberg
- Topics
- Optical Network Technologies (19 papers)Neural Networks and Reservoir Computing (19 papers)Photonic and Optical Devices (18 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Alexander Sludds
19 papers receiving 576 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 544
- Artificial Intelligence 537
- Atomic and Molecular Physics, and Optics 70
- Electronic, Optical and Magnetic Materials 19
- Instrumentation 15
Countries citing papers authored by Alexander Sludds
This map shows the geographic impact of Alexander Sludds'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 Alexander Sludds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Sludds more than expected).
Fields of papers citing papers by Alexander Sludds
This network shows the impact of papers produced by Alexander Sludds. 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 Alexander Sludds. The network helps show where Alexander Sludds may publish in the future.
Co-authorship network of co-authors of Alexander Sludds
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Sludds. A scholar is included among the top collaborators of Alexander Sludds 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 Alexander Sludds. Alexander Sludds 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Single-chip photonic deep neural network with forward-only trainingbreakdown → | 60 |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 103 | |
| 12 | 108 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 260 | |
| 20 | 9 |
About Alexander Sludds
Alexander Sludds is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 636 indexed citations. Recurring topics across this work include Optical Network Technologies (19 papers), Neural Networks and Reservoir Computing (19 papers) and Photonic and Optical Devices (18 papers). The work is most often cited by research in Artificial Intelligence (537 citations), Acoustics and Ultrasonics (14 citations) and Electrical and Electronic Engineering (544 citations). Alexander Sludds has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Dirk Englund, Ryan Hamerly, Liane Bernstein, Marin Soljačić, Zaijun Chen, Saumil Bandyopadhyay, Matthew Streshinsky, Michael Hochberg, Darius Bunandar and Manya Ghobadi. Their work appears in journals such as Science, Nature Photonics and Science Advances.
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.