A.I. Mees

3.2k citations
59 papers · 2.3k · h-index 22

Impact in

Papers in

A.I. Mees

57 papers receiving 2.1k citations

Peers

A.I. Mees
Comparison fields: 5 of 129
  • Statistical and Nonlinear Physics 846
  • Industrial and Manufacturing Engineering 266
  • Computer Networks and Communications 604
  • Control and Systems Engineering 414
  • Numerical Analysis 68
Replace Ken-ichi Funahashi with:
Ken-ichi Funahashi Japan
Mathew D. Penrose United Kingdom
Kenji Fukumizu Japan
Esteban Tlelo‐Cuautle Mexico
George M. Siouris United States
Hongtao Lu China
Dirk Aeyels Belgium
Taiyong Li China
Godfried T. Toussaint Canada
Nicol N. Schraudolph Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by A.I. Mees

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Mees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.I. Mees. 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 A.I. Mees. The network helps show where A.I. Mees may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986499
2 1988365
3 1979205
4 1987148
5 197588
6 198379
7 199275
8 198160
9 198158
10 197246
11 199438
12 199237
13 198935
14 199130
15 198430
16 198730
17 197829
18 198228
19 199525
20 197324

About A.I. Mees

A.I. Mees is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence and Mathematical Physics, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chaos control and synchronization (15 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Quantum chaos and dynamical systems (7 papers), Neural Networks and Applications (6 papers), Control Systems and Identification (5 papers), Mathematical Dynamics and Fractals (5 papers), Optimization and Search Problems (4 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (846 citations), Industrial and Manufacturing Engineering (266 citations), Computer Networks and Communications (604 citations), Control and Systems Engineering (414 citations) and Numerical Analysis (68 citations). A.I. Mees has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Margaret E. Lundy, Leon O. Chua, Paul E. Rapp, A. M. Albano, C.A. Schwartz, A. Bergen, Kok Lay Teo, Colin Sparrow, Jacques Martinerie and Paul B. Chapman. Their work appears in journals such as International Journal of Bifurcation and Chaos, Applied Mathematics Letters, IEEE Transactions on Automatic Control, International Journal of Control and Bulletin of the London Mathematical Society.

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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