Daniel Soh

1.4k citations
60 papers · 1.0k · h-index 19

Impact in

Papers in

Daniel Soh

54 papers receiving 945 citations

Peers

Daniel Soh
Comparison fields: 5 of 37
  • Atomic and Molecular Physics, and Optics 762
  • Electrical and Electronic Engineering 773
  • Acoustics and Ultrasonics 9
  • Artificial Intelligence 198
  • Ceramics and Composites 28
Replace Hideyuki Sotobayashi with:
Hideyuki Sotobayashi Japan
Jeongwan Jin Canada
Erhan Sağlamyürek Canada
R.M. Jopson United States
Chunle Xiong Australia
Josef Fürst Germany
M. Wegmüller Switzerland
Justin B. Spring United Kingdom
Z. Kis Hungary
Foued Amrani France
Daniel Soh relative to Hideyuki Sotobayashi Japan Hideyuki Sotobayashi's profile →
Citations per field
00.5×6.8×
Hideyuki Sotobayashi · 1×
Citations per year

Countries citing papers authored by Daniel Soh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Soh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Soh, 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 Daniel Soh Line = papers co-authored together Daniel Soh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015159
2 200593
3 200589
4 200461
5 200453
6 200636
7 201035
8 201332
9 200432
10 200531
11 200428
12 200328
13 201625
14 200424
15 201823
16 201222
17 201120
18 202219
19 200419
20 200518

About Daniel Soh

Daniel Soh is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Biomedical Engineering and Condensed Matter Physics, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Photonic Crystal and Fiber Optics (37 papers), Advanced Fiber Laser Technologies (27 papers), Optical Network Technologies (19 papers), Advanced Fiber Optic Sensors (14 papers), Solid State Laser Technologies (13 papers), Quantum Information and Cryptography (7 papers), Neural Networks and Reservoir Computing (7 papers) and Mechanical and Optical Resonators (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (762 citations), Electrical and Electronic Engineering (773 citations), Acoustics and Ultrasonics (9 citations), Artificial Intelligence (198 citations) and Ceramics and Composites (28 citations). Daniel Soh has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Johan Nilsson, J. K. Sahu, Christophe A. Codemard, Yoonchan Jeong, Constantin Brif, Ryan M. Camacho, Norbert Lütkenhaus, Patrick J. Coles, Junji Urayama and Mohan Sarovar. Their work appears in journals such as Physical Review Research, Optics Letters, Optics Communications, Optics Express and Journal of the Optical Society of America B.

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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