M. Hänggi

19 papers receiving 275 citations

Peers

M. Hänggi
Comparison fields: 5 of 44
  • Computer Networks and Communications 147
  • Statistical and Nonlinear Physics 55
  • Computational Theory and Mathematics 52
  • Organic Chemistry 75
  • Artificial Intelligence 73
Replace Petr Hošek with:
Petr Hošek Czechia
Robert T. Curtis United Kingdom
Michel Mollard France
Jean‐Sébastien Sereni France
Shiva Shankar India
Jan Goedgebeur Belgium
Yaping Mao China
Yanfeng Luo China
Henda C. Swart South Africa
Emanuele Munarini Italy
M. Hänggi relative to Petr Hošek Czechia Petr Hošek's profile →
Citations per field
00.5×10.7×
Petr Hošek · 1×
Citations per year

Countries citing papers authored by M. Hänggi

Since Specialization
Citations

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

Fields of papers citing papers by M. Hänggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside M. Hänggi, 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 M. Hänggi Line = papers co-authored together M. Hänggi links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199896
2 200139
3 199937
4 200321
5 200018
6 199915
7 200210
8 20019
9 20008
10 20027
11 20026
12 20026
13 19975
14 20024
15 20034
16 20023
17 20013
18
Optimization of CNN Template Robustness (Special Section on Nonlinear Theory and Its Applications)
19992
19 20031

About M. Hänggi

M. Hänggi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 19 papers that have together received 294 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (14 papers), Advanced Memory and Neural Computing (10 papers), Neural Networks and Applications (7 papers), stochastic dynamics and bifurcation (6 papers), Cellular Automata and Applications (5 papers), Quantum-Dot Cellular Automata (4 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Computer Networks and Communications (147 citations), Statistical and Nonlinear Physics (55 citations), Computational Theory and Mathematics (52 citations), Organic Chemistry (75 citations) and Artificial Intelligence (73 citations). M. Hänggi has collaborated with scholars based in United States, Switzerland and Romania. Frequent co-authors include G.S. Moschytz, Leon O. Chua, Sibylle A. W. Gruner, Paul Seiler, Dieter Seebàch, Stefan Abele, Thierry Sifferlen, Radu Dogaru, Makoto Itoh and Simon Moser. Their work appears in journals such as International Journal of Bifurcation and Chaos, Helvetica Chimica Acta, International Journal of Circuit Theory and Applications, Electronics Letters and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

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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