Alexander Sludds

1.1k total citations · 1 hit paper
22 papers, 636 citations indexed

About

Alexander Sludds is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Alexander Sludds has authored 22 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 19 papers in Artificial Intelligence and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Alexander Sludds's work include Optical Network Technologies (19 papers), Neural Networks and Reservoir Computing (19 papers) and Photonic and Optical Devices (18 papers). Alexander Sludds is often cited by papers focused on Optical Network Technologies (19 papers), Neural Networks and Reservoir Computing (19 papers) and Photonic and Optical Devices (18 papers). Alexander Sludds collaborates with scholars based in United States, Germany and Switzerland. Alexander Sludds's co-authors include Dirk Englund, Ryan Hamerly, Liane Bernstein, Marin Soljačić, Zaijun Chen, Saumil Bandyopadhyay, Matthew Streshinsky, Michael Hochberg, Darius Bunandar and Manya Ghobadi and has published in prestigious journals such as Science, Nature Photonics and Science Advances.

In The Last Decade

Alexander Sludds

19 papers receiving 576 citations

Hit Papers

Single-chip photonic deep neural network with forward-onl... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Single-chip photonic deep neural network with forward-only training
    2024 60 citations Saumil Bandyopadhyay, Alexander Sludds et al. Nature Photonics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Sludds United States 8 544 537 70 19 15 22 636
Farshid Ashtiani United States 6 470 0.9× 362 0.7× 114 1.6× 32 1.7× 14 0.9× 23 566
Alexander J. Geers United States 4 351 0.6× 318 0.6× 46 0.7× 14 0.7× 7 0.5× 6 425
Shi-Yuan Ma United States 4 259 0.5× 265 0.5× 36 0.5× 25 1.3× 14 0.9× 8 346
Tingzhao Fu China 7 311 0.6× 259 0.5× 69 1.0× 26 1.4× 6 0.4× 22 377
Maik Stappers Germany 4 933 1.7× 730 1.4× 213 3.0× 34 1.8× 12 0.8× 5 1.0k
Ellen Zhou United States 5 673 1.2× 664 1.2× 50 0.7× 6 0.3× 8 0.5× 11 717
Allie X. Wu United States 5 696 1.3× 686 1.3× 50 0.7× 6 0.3× 8 0.5× 12 736
Maziyar Milanizadeh Italy 12 540 1.0× 357 0.7× 117 1.7× 7 0.4× 5 0.3× 43 603
Yubin Zang China 6 244 0.4× 217 0.4× 40 0.6× 15 0.8× 9 0.6× 17 291
Hsuan-Tung Peng United States 16 1.4k 2.6× 1.4k 2.6× 104 1.5× 16 0.8× 16 1.1× 35 1.5k

Countries citing papers authored by Alexander Sludds

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lee, Chunho, Alexander Sludds, Ryan Hamerly, et al.. (2025). Hypermultiplexed integrated photonics–based optical tensor processor. Science Advances. 11(23). eadu0228–eadu0228. 4 indexed citations
2.
Bandyopadhyay, Saumil, et al.. (2025). A Three-Terminal Nanophotonic Integrator for Deep Neural Networks. Th2A.34–Th2A.34.
3.
Baghdadi, Reza, Alexander Sludds, Shashank Gupta, et al.. (2025). Monolithically Integrated Microring Transmitter and Receiver for High-Density 3D Co-Packaged Optics. Tu3J.6–Tu3J.6.
4.
Larocque, Hugo, Alexander Sludds, Hamed Sattari, et al.. (2024). Photonic Crystal Cavity IQ Modulators in Thin-Film Lithium Niobate. ACS Photonics. 11(9). 3860–3869. 4 indexed citations
5.
Hamerly, Ryan, Alexander Sludds, Saumil Bandyopadhyay, et al.. (2024). Netcast: Low-Power Edge Computing With WDM-Defined Optical Neural Networks. Journal of Lightwave Technology. 42(22). 7795–7806. 2 indexed citations
6.
Bandyopadhyay, Saumil, Alexander Sludds, Stefan Krastanov, et al.. (2024). Single-chip photonic deep neural network with forward-only training. Nature Photonics. 18(12). 1335–1343. 60 indexed citations breakdown →
7.
Zhong, Zhizhen, et al.. (2023). Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. 452–472. 13 indexed citations
8.
Bandyopadhyay, Saumil, Alexander Sludds, Stefan Krastanov, et al.. (2023). A Photonic Deep Neural Network Processor on a Single Chip with Optically Accelerated Training. 588. SM2P.2–SM2P.2. 3 indexed citations
9.
Chen, Zaijun, Alexander Sludds, Ian Christen, et al.. (2023). Coherent VCSEL homodyne neural networks. 18–18. 1 indexed citations
10.
Larocque, Hugo, Alexander Sludds, Hamed Sattari, et al.. (2023). Interferometric Photonic Crystal Modulators with Lithium Niobate. STh1R.3–STh1R.3.
11.
Chen, Zaijun, Alexander Sludds, Ian Christen, et al.. (2023). Deep learning with coherent VCSEL neural networks. Nature Photonics. 17(8). 723–730. 103 indexed citations
12.
Sludds, Alexander, Saumil Bandyopadhyay, Zaijun Chen, et al.. (2022). Delocalized photonic deep learning on the internet’s edge. Science. 378(6617). 270–276. 108 indexed citations
13.
Sludds, Alexander, Ryan Hamerly, Saumil Bandyopadhyay, et al.. (2022). Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. Optical Fiber Communication Conference (OFC) 2022. Th3A.3–Th3A.3. 3 indexed citations
14.
Chen, Zaijun, Alexander Sludds, Ian Christen, et al.. (2022). Coherent VCSEL Network Computing. 1–3. 3 indexed citations
15.
Hamerly, Ryan, Saumil Bandyopadhyay, Alexander Sludds, & Dirk Englund. (2022). Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. Optical Fiber Communication Conference (OFC) 2022. W2A.5–W2A.5. 1 indexed citations
16.
Hamerly, Ryan, Alexander Sludds, Saumil Bandyopadhyay, et al.. (2021). Edge computing with optical neural networks via WDM weight broadcasting. 63–63. 4 indexed citations
17.
Sludds, Alexander, Liane Bernstein, Ryan Hamerly, Marin Soljačić, & Dirk Englund. (2020). A scalable optical neural network architecture using coherent detection. 16–16. 2 indexed citations
18.
Bernstein, Liane, Alexander Sludds, Ryan Hamerly, et al.. (2020). Digital Optical Neural Networks for Large-Scale Machine Learning. Conference on Lasers and Electro-Optics. SM1E.4–SM1E.4. 1 indexed citations
19.
Hamerly, Ryan, Liane Bernstein, Alexander Sludds, Marin Soljačić, & Dirk Englund. (2019). Large-Scale Optical Neural Networks Based on Photoelectric Multiplication. Physical Review X. 9(2). 260 indexed citations
20.
Hamerly, Ryan, Alexander Sludds, Liane Bernstein, et al.. (2019). Towards Large-Scale Photonic Neural-Network Accelerators. 22.8.1–22.8.4. 9 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Farshid Ashtiani Breakdown of academic impact, for papers by Alexander J. Geers Breakdown of academic impact, for papers by Shi-Yuan Ma Breakdown of academic impact, for papers by Tingzhao Fu Breakdown of academic impact, for papers by Maik Stappers Breakdown of academic impact, for papers by Ellen Zhou Breakdown of academic impact, for papers by Allie X. Wu Breakdown of academic impact, for papers by Maziyar Milanizadeh Breakdown of academic impact, for papers by Yubin Zang Breakdown of academic impact, for papers by Hsuan-Tung Peng
Rankless by CCL
2026