Joshua Robertson

1.1k citations
38 papers · 771 indexed · h-index 16
Topics
Neural Networks and Reservoir Computing (36 papers)Photonic and Optical Devices (22 papers)Advanced Memory and Neural Computing (19 papers)
Journals
Physical Review LettersSHILAP Revista de lepidopterologíaApplied Physics Letters

In The Last Decade

Joshua Robertson

32 papers receiving 743 citations

Peers

Joshua Robertson
Comparison fields: 5 of 21
  • Electrical and Electronic Engineering 722
  • Artificial Intelligence 697
  • Cognitive Neuroscience 136
  • Atomic and Molecular Physics, and Optics 59
  • Computer Networks and Communications 38
Replace Julián Bueno with:
Julián Bueno United Kingdom
Martin Fiers Belgium
Pauline Mechet Belgium
Matéj Hejda United Kingdom
Kristof Vandoorne Belgium
François Duport France
Weifang Huang China
Anteo Smerieri Italy
Hsuan-Tung Peng United States
Yue Tian United States
Joshua Robertson relative to Julián Bueno United Kingdom Julián Bueno's profile →
Citations per field
00.5×1.5×2.5×
Julián Bueno · 1×
Citations per year

Countries citing papers authored by Joshua Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Robertson. A scholar is included among the top collaborators of Joshua Robertson 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 Joshua Robertson. Joshua Robertson 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
#WorkIndexed citations
1 2
2 5
3 0
4 4
5 1
6 1
7 1
8 0
9 0
10 0
11 1
12 0
13 53
14 27
15 1
16 75
17 38
18 20
19 83
20
Single-pulse and 'pulsetrain-burst'(>100 MHz) effects in ultrafast laser processing of metals, glasses, and bio-tissues
1

About Joshua Robertson

Joshua Robertson is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 38 papers that have together received 771 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (36 papers), Photonic and Optical Devices (22 papers) and Advanced Memory and Neural Computing (19 papers). The work is most often cited by research in Artificial Intelligence (697 citations), Electrical and Electronic Engineering (722 citations) and Acoustics and Ultrasonics (7 citations). Joshua Robertson has collaborated with scholars based in United Kingdom, Portugal and Netherlands. Frequent co-authors include Antonio Hurtado, Matéj Hejda, Julián Bueno, Tao Deng, J. Javaloyes, Juan Arturo Alanis, Shuiying Xiang, Yahui Zhang, Paul Kirkland and Gaetano Di Caterina. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología 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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