Dirk Englund

34.3k total citations · 16 hit papers
398 papers, 21.9k citations indexed

About

Dirk Englund is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Dirk Englund has authored 398 papers receiving a total of 21.9k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Electrical and Electronic Engineering, 224 papers in Atomic and Molecular Physics, and Optics and 158 papers in Artificial Intelligence. Recurrent topics in Dirk Englund's work include Photonic and Optical Devices (190 papers), Neural Networks and Reservoir Computing (100 papers) and Diamond and Carbon-based Materials Research (82 papers). Dirk Englund is often cited by papers focused on Photonic and Optical Devices (190 papers), Neural Networks and Reservoir Computing (100 papers) and Diamond and Carbon-based Materials Research (82 papers). Dirk Englund collaborates with scholars based in United States, Germany and Denmark. Dirk Englund's co-authors include Jelena Vučković, Igor Aharonovich, Milos Toth, Nicholas C. Harris, Andrei Faraon, Ilya Fushman, Marin Soljačić, Tom Baehr‐Jones, Pierre M. Petroff and Nick Stoltz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Dirk Englund

370 papers receiving 21.0k citations

Hit Papers

Deep learning with cohere... 2005 2026 2012 2019 2017 2016 2013 2020 2005 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dirk Englund 12.8k 10.9k 7.9k 6.6k 4.5k 398 21.9k
Jelena Vučković 11.9k 0.9× 14.5k 1.3× 5.0k 0.6× 3.3k 0.5× 4.4k 1.0× 357 18.8k
Marko Lončar 9.2k 0.7× 10.3k 0.9× 1.6k 0.2× 2.9k 0.4× 2.3k 0.5× 253 14.1k
Philip Hemmer 3.9k 0.3× 12.1k 1.1× 3.2k 0.4× 9.6k 1.5× 3.1k 0.7× 176 17.9k
Demetri Psaltis 9.4k 0.7× 8.5k 0.8× 2.7k 0.3× 1.6k 0.2× 5.8k 1.3× 575 19.6k
D. A. Ritchie 19.7k 1.5× 25.0k 2.3× 4.2k 0.5× 5.2k 0.8× 3.0k 0.7× 1.3k 33.9k
David A. B. Miller 21.4k 1.7× 18.9k 1.7× 3.3k 0.4× 4.7k 0.7× 4.3k 1.0× 549 29.9k
Sajeev John 11.8k 0.9× 16.8k 1.5× 1.1k 0.1× 2.8k 0.4× 5.6k 1.3× 216 20.5k
Wolfram H. P. Pernice 9.8k 0.8× 4.7k 0.4× 5.2k 0.7× 3.3k 0.5× 1.9k 0.4× 237 12.7k
Min Xiao 13.5k 1.1× 14.0k 1.3× 3.4k 0.4× 7.4k 1.1× 2.4k 0.5× 582 26.6k
D. Rugar 5.7k 0.5× 11.8k 1.1× 520 0.1× 2.8k 0.4× 4.2k 0.9× 138 13.9k

Countries citing papers authored by Dirk Englund

Since Specialization
Citations

This map shows the geographic impact of Dirk Englund'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 Dirk Englund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Englund more than expected).

Fields of papers citing papers by Dirk Englund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dirk Englund. 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 Dirk Englund. The network helps show where Dirk Englund may publish in the future.

Co-authorship network of co-authors of Dirk Englund

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Englund. A scholar is included among the top collaborators of Dirk Englund 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 Dirk Englund. Dirk Englund 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.
Duan, Yuqin, Qing Gu, Yong Hu, et al.. (2025). A Bayesian approach towards atomically-precise localization in fluorescence microscopy. Nature Communications. 16(1). 9289–9289.
3.
Wang, Hanfeng, Kunal L. Tiwari, Kurt Jacobs, et al.. (2024). A spin-refrigerated cavity quantum electrodynamic sensor. Nature Communications. 15(1). 10320–10320. 5 indexed citations
4.
Dai, Wenhan, et al.. (2024). Quantum network utility: A framework for benchmarking quantum networks. Proceedings of the National Academy of Sciences. 121(17). e2314103121–e2314103121. 7 indexed citations
5.
Heim, David, Mark Dong, Gerald Gilbert, et al.. (2024). Strain-concentration for fast, compact photonic modulation and non-volatile memory. Optica. 11(11). 1511–1511. 1 indexed citations
6.
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
7.
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
8.
Wang, Jinchen, et al.. (2023). 34.1 THz Cryo-CMOS Backscatter Transceiver: A Contactless 4 Kelvin-300 Kelvin Data Interface. 504–506. 10 indexed citations
9.
Menssen, Adrian J., Artur Hermans, Ian Christen, et al.. (2023). Scalable photonic integrated circuits for high-fidelity light control. Optica. 10(10). 1366–1366. 19 indexed citations
11.
Dong, Mark, David Heim, Hyeongrak Choi, et al.. (2023). Programmable photonic integrated meshes for modular generation of optical entanglement links. npj Quantum Information. 9(1). 12 indexed citations
12.
Cruzeiro, Emmanuel Zambrini, et al.. (2023). Resource-efficient simulation of noisy quantum circuits and application to network-enabled QRAM optimization. npj Quantum Information. 9(1). 3 indexed citations
13.
Chanana, Ashish, Hugo Larocque, Renan Moreira, et al.. (2022). Ultra-low loss quantum photonic circuits integrated with single quantum emitters. Nature Communications. 13(1). 7693–7693. 68 indexed citations
14.
Krastanov, Stefan, et al.. (2022). All-Photonic Artificial Neural Network Processor Via Nonlinear Optics. Conference on Lasers and Electro-Optics. SF4F.5–SF4F.5. 5 indexed citations
15.
Hamerly, Ryan, Saumil Bandyopadhyay, & Dirk Englund. (2022). Asymptotically fault-tolerant programmable photonics. Nature Communications. 13(1). 6831–6831. 40 indexed citations
16.
Calafell, Irati Alonso, David R. M. Arvidsson-Shukur, Lee A. Rozema, et al.. (2019). Trace-free counterfactual communication with a nanophotonic processor. npj Quantum Information. 5(1). 13 indexed citations
17.
Fanto, Michael L., Tsung‐Ju Lu, Hyeongrak Choi, et al.. (2018). Wide-Bandgap Integrated Photonic Circuits for Nonlinear Interactions and Interfacing with Quantum Memories. 257–258. 1 indexed citations
18.
Iranzo, David Alcaraz, Sébastien Nanot, Eduardo J. C. Dias, et al.. (2018). Probing the ultimate plasmon confinement limits with a van der Waals heterostructure. Science. 360(6386). 291–295. 248 indexed citations
19.
Marseglia, Luca, Koushik Saha, Ashok Ajoy, et al.. (2018). Bright nanowire single photon source based on SiV centers in diamond. Optics Express. 26(1). 80–80. 37 indexed citations
20.
Atatüre, Mete, Dirk Englund, A. Nick Vamivakas, Sang‐Yun Lee, & Jörg Wrachtrup. (2018). Material platforms for spin-based photonic quantum technologies. Nature Reviews Materials. 3(5). 38–51. 497 indexed citations breakdown →

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

Rankless by CCL
2026