Lina Jaurigue
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Co-authors
- Kathy LüdgeEckehard SchöllTim HülserStefan BreuerJanik WoltersElizabeth RobertsonBernd KrauskopfAndré Röhm
- Topics
- Neural Networks and Reservoir Computing (16 papers)Optical Network Technologies (16 papers)Advanced Fiber Laser Technologies (16 papers)
- Cited by
- Artificial IntelligenceElectrical and Electronic EngineeringAtomic and Molecular Physics, and Optics
- Partner nations
- GermanyNew ZealandUnited Kingdom
In The Last Decade
Lina Jaurigue
32 papers receiving 384 citations
Peers
Comparison fields: 5 of 30
- Electrical and Electronic Engineering 309
- Artificial Intelligence 208
- Atomic and Molecular Physics, and Optics 167
- Computer Networks and Communications 37
- Statistical and Nonlinear Physics 37
Countries citing papers authored by Lina Jaurigue
This map shows the geographic impact of Lina Jaurigue'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 Lina Jaurigue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lina Jaurigue more than expected).
Fields of papers citing papers by Lina Jaurigue
This network shows the impact of papers produced by Lina Jaurigue. 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 Lina Jaurigue. The network helps show where Lina Jaurigue may publish in the future.
Co-authorship network of co-authors of Lina Jaurigue
This figure shows the co-authorship network connecting the top 25 collaborators of Lina Jaurigue. A scholar is included among the top collaborators of Lina Jaurigue 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 Lina Jaurigue. Lina Jaurigue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | 29 | |
| 20 | 3 |
About Lina Jaurigue
Lina Jaurigue is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 35 papers that have together received 392 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (16 papers), Optical Network Technologies (16 papers) and Advanced Fiber Laser Technologies (16 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Electrical and Electronic Engineering (309 citations) and Atomic and Molecular Physics, and Optics (167 citations). Lina Jaurigue has collaborated with scholars based in Germany, New Zealand and United Kingdom. Frequent co-authors include Kathy Lüdge, Eckehard Schöll, Tim Hülser, Stefan Breuer, Janik Wolters, Elizabeth Robertson, Bernd Krauskopf, André Röhm, Lukas Drzewietzki and U. Keller. Their work appears in journals such as Nature, Physical Review Letters and Nature Communications.
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.