Ben Bartlett

837 total citations · 1 hit paper
7 papers, 536 citations indexed

About

Ben Bartlett is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Paleontology. According to data from OpenAlex, Ben Bartlett has authored 7 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 1 paper in Paleontology. Recurrent topics in Ben Bartlett's work include Optical Network Technologies (5 papers), Photonic and Optical Devices (5 papers) and Neural Networks and Reservoir Computing (5 papers). Ben Bartlett is often cited by papers focused on Optical Network Technologies (5 papers), Photonic and Optical Devices (5 papers) and Neural Networks and Reservoir Computing (5 papers). Ben Bartlett collaborates with scholars based in United States and Italy. Ben Bartlett's co-authors include Shanhui Fan, Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Sunil Pai, D. J. Stevenson, Olav Solgaard, Zhanghao Sun, Nathnael Abebe and Maziyar Milanizadeh and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Ben Bartlett

7 papers receiving 492 citations

Hit Papers

align trajectories

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.

Experimentally realized in situ backpropagation for deep learning in photonic neural networks

2023 180 citations Sunil Pai, Zhanghao Sun et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Bartlett United States	5	449	446	51	20	16	7	536
Georg Harder Germany	11	314 0.7×	100 0.2×	336 6.6×	10 0.5×	11 0.7×	18	426
Dmytro Vasylyev Germany	9	382 0.9×	108 0.2×	374 7.3×	3 0.1×	16 1.0×	21	463
Olivier Spitz France	11	45 0.1×	308 0.7×	173 3.4×	13 0.7×	2 0.1×	40	411
Quentin Vinckier United States	5	185 0.4×	185 0.4×	21 0.4×	8 0.4×	20 1.3×	13	236
Alessandro Ceré Singapore	13	417 0.9×	91 0.2×	596 11.7×	3 0.1×	5 0.3×	22	647
Fabrizio Gambini Italy	11	47 0.1×	364 0.8×	132 2.6×	17 0.8×	3 0.2×	44	400
Forrest R. Miller United States	8	50 0.1×	84 0.2×	27 0.5×	44 2.2×	20 1.3×	21	287
Hai-Lin Yong China	11	580 1.3×	104 0.2×	582 11.4×	4 0.2×	12 0.8×	18	704
Leaf A. Jiang United States	12	82 0.2×	308 0.7×	314 6.2×	5 0.3×	4 0.3×	21	470
Robert Bedington Singapore	8	353 0.8×	100 0.2×	313 6.1×	2 0.1×	33 2.1×	18	472

Countries citing papers authored by Ben Bartlett

Since Specialization

Citations

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

Fields of papers citing papers by Ben Bartlett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Bartlett

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Bartlett. A scholar is included among the top collaborators of Ben Bartlett 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 Ben Bartlett. Ben Bartlett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Bartlett, Ben, et al.. (2024). Programmable photonic system for quantum simulation in arbitrary topologies. SHILAP Revista de lepidopterología. 1(1). 1 indexed citations

2.

Pai, Sunil, Zhanghao Sun, Tyler W. Hughes, et al.. (2023). Experimentally realized in situ backpropagation for deep learning in photonic neural networks. Science. 380(6643). 398–404. 180 indexed citations breakdown →

3.

Bartlett, Ben & Shanhui Fan. (2020). Universal programmable photonic architecture for quantum information processing. Physical review. A. 101(4). 18 indexed citations

4.

Williamson, Ian A. D., Tyler W. Hughes, Momchil Minkov, et al.. (2020). Tunable Nonlinear Activation Functions for Optical Neural Networks. Conference on Lasers and Electro-Optics. SM1E.2–SM1E.2. 4 indexed citations

5.

Williamson, Ian A. D., Matthew Edwards, Ke Liu, et al.. (2020). Experimental realization of arbitrary activation functions for optical neural networks. Optics Express. 28(8). 12138–12138. 81 indexed citations

6.

Williamson, Ian A. D., Tyler W. Hughes, Momchil Minkov, et al.. (2019). Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks. IEEE Journal of Selected Topics in Quantum Electronics. 26(1). 1–12. 223 indexed citations

7.

Bartlett, Ben & D. J. Stevenson. (2016). Analysis of a Precambrian resonance‐stabilized day length. Geophysical Research Letters. 43(11). 5716–5724. 29 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.

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