Ben Haylock

17 papers receiving 375 citations

Peers

Ben Haylock
Comparison fields: 5 of 46
  • Atomic and Molecular Physics, and Optics 148
  • Electrical and Electronic Engineering 214
  • Artificial Intelligence 100
  • Biomedical Engineering 115
  • Electronic, Optical and Magnetic Materials 47
Replace Watson Kuo with:
Watson Kuo Taiwan
Jiawei Liu China
Henry A. Fernández Finland
Heshan Yu United States
Vincent Bayot Belgium
Xingzhao Yan United Kingdom
Hao Hao China
Jae‐Pil So South Korea
S. Iordănescu Romania
Shijie Liu China
Ben Haylock relative to Watson Kuo Taiwan Watson Kuo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ben Haylock

Since Specialization
Citations

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

Fields of papers citing papers by Ben Haylock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Haylock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Haylock Line = papers co-authored together Ben Haylock links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201892
2 201881
3 201751
4 201946
5 202124
6 202421
7 202119
8
Direct characterization of a nonlinear photonic circuit's wave function with laser light
201714
9 20248
10 20237
11 20226
12 20255
13 20244
14 20173
15 20203
16 20161
17 20211

About Ben Haylock

Ben Haylock is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Materials Chemistry, having authored 17 papers that have together received 386 indexed citations. Recurring topics across this work include Photonic and Optical Devices (7 papers), Quantum Information and Cryptography (7 papers), Mechanical and Optical Resonators (4 papers), Advanced Fiber Laser Technologies (3 papers), Neural Networks and Reservoir Computing (3 papers), Quantum Computing Algorithms and Architecture (2 papers), Diamond and Carbon-based Materials Research (2 papers) and Laser-Ablation Synthesis of Nanoparticles (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (148 citations), Electrical and Electronic Engineering (214 citations), Artificial Intelligence (100 citations), Biomedical Engineering (115 citations) and Electronic, Optical and Magnetic Materials (47 citations). Ben Haylock has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent co-authors include Mirko Lobino, Hoang‐Phuong Phan, Dzung Viet Dao, Francesco Lenzini, Philip Tanner, Tuan‐Khoa Nguyen, Sachin Kasture, Shujun Wang, Z. Wan and David V. Thiel. Their work appears in journals such as npj Quantum Information, Quantum Science and Technology, Physical Review Applied, Advanced Materials Technologies 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.

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