Lucas Illing

1.0k citations
24 papers · 760 · h-index 13

Impact in

Papers in

Lucas Illing

23 papers receiving 721 citations

Peers

Lucas Illing
Comparison fields: 5 of 44
  • Statistical and Nonlinear Physics 323
  • Computer Networks and Communications 322
  • Atomic and Molecular Physics, and Optics 337
  • Acoustics and Ultrasonics 9
  • Artificial Intelligence 206
Replace K.E. Chlouverakis with:
K.E. Chlouverakis Greece
Song-Sui Li China
Michael Peil Germany
J. Mulet Spain
Tao Deng China
Romain Modeste Nguimdo Belgium
Adam B. Cohen United States
J.M. Liu United States
Chenpeng Xue China
Yanhua Hong United Kingdom
Lucas Illing relative to K.E. Chlouverakis Greece K.E. Chlouverakis's profile →
Citations per field
00.5×3.7×
K.E. Chlouverakis · 1×
Citations per year

Countries citing papers authored by Lucas Illing

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Illing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Lucas Illing, 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 Lucas Illing Line = papers co-authored together Lucas Illing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005234
2 2010142
3 200190
4 200244
5 200432
6 200526
7 200425
8 200424
9 200621
10 200921
11 201117
12 201113
13 200812
14 201310
15 201210
16 20029
17 20009
18 20188
19 20167
20 20123

About Lucas Illing

Lucas Illing is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Economics and Econometrics, having authored 24 papers that have together received 760 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), Chaos control and synchronization (16 papers), stochastic dynamics and bifurcation (8 papers), Neural Networks and Reservoir Computing (4 papers), Quantum chaos and dynamical systems (3 papers), Complex Systems and Time Series Analysis (3 papers), Quantum optics and atomic interactions (2 papers) and Optical Network Technologies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (323 citations), Computer Networks and Communications (322 citations), Atomic and Molecular Physics, and Optics (337 citations), Acoustics and Ultrasonics (9 citations) and Artificial Intelligence (206 citations). Lucas Illing has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Daniel J. Gauthier, Andrew M. C. Dawes, Susan Clark, Zheng Gao, Eckehard Schöll, M. B. Kennel, Jonathan N. Blakely, Henry D. I. Abarbanel, J.M. Liu and Mikhail A. Vorontsov. Their work appears in journals such as Physical review. E, Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters, IEEE Journal of Quantum Electronics and Physica D Nonlinear Phenomena.

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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