D. Goulding

1.1k citations
49 papers · 839 · h-index 17

Impact in

Papers in

D. Goulding

46 papers receiving 799 citations

Peers

D. Goulding
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 219
  • Computer Networks and Communications 235
  • Atomic and Molecular Physics, and Optics 318
  • Energy Engineering and Power Technology 31
  • Electrical and Electronic Engineering 466
Replace Mathias Hudoba de Badyn with:
Mathias Hudoba de Badyn Switzerland
N. Pitrone Italy
Georges Semaan Lebanon
Xinyu Gao China
Yongning Zhang China
Yezhou Wu China
Jian Hong Ke China
Tianshun Wang China
Kai Yao China
Wenqiang Wan China
D. Goulding relative to Mathias Hudoba de Badyn Switzerland Mathias Hudoba de Badyn's profile →
Citations per field
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Mathias Hudoba de Badyn · 1×
Citations per year

Countries citing papers authored by D. Goulding

Since Specialization
Citations

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

Fields of papers citing papers by D. Goulding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007128
2 201271
3 200464
4 201049
5 200948
6 201644
7 201431
8 201430
9 201028
10 200727
11 200725
12 201524
13 200423
14 201621
15 201920
16 201219
17 201717
18 201616
19 201914
20 201713

About D. Goulding

D. Goulding is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 49 papers that have together received 839 indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (21 papers), Photonic and Optical Devices (15 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Optical Network Technologies (11 papers), Advanced Fiber Laser Technologies (11 papers), Neural Networks and Reservoir Computing (8 papers), Semiconductor Quantum Structures and Devices (7 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (219 citations), Computer Networks and Communications (235 citations), Atomic and Molecular Physics, and Optics (318 citations), Energy Engineering and Power Technology (31 citations) and Electrical and Electronic Engineering (466 citations). D. Goulding has collaborated with scholars based in Ireland, Russia and Belgium. Frequent co-authors include G. Huyet, Bryan Kelleher, Stephen P. Hegarty, Niamh Power, Thomas Busch, Cristina Masoller, Дмитрий Рачинский, John G. McInerney, Garrett Greene and Thomas Erneux. Their work appears in journals such as Optics Letters, Optics Express, Physical Review Letters, Renewable Energy and Scientific Reports.

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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