Martin Hasler

4.2k total citations
75 papers, 3.1k citations indexed

About

Martin Hasler is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Martin Hasler has authored 75 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 29 papers in Statistical and Nonlinear Physics and 16 papers in Artificial Intelligence. Recurrent topics in Martin Hasler's work include Nonlinear Dynamics and Pattern Formation (22 papers), Neural Networks Stability and Synchronization (15 papers) and Chaos control and synchronization (15 papers). Martin Hasler is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (22 papers), Neural Networks Stability and Synchronization (15 papers) and Chaos control and synchronization (15 papers). Martin Hasler collaborates with scholars based in Switzerland, United States and Russia. Martin Hasler's co-authors include Igor Belykh, В. Н. Белых, Enno de Lange, Igor Belykh, Ali Ajdari Rad, Mahdi Jalili, Y. Kamp, Wolfgang Schwarz, J. Neirynck and T. Schimming and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Biochemical Journal.

In The Last Decade

Martin Hasler

68 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Hasler Switzerland 28 2.0k 1.6k 675 439 369 75 3.1k
K. Murali India 32 1.6k 0.8× 2.6k 1.6× 279 0.4× 359 0.8× 427 1.2× 97 3.2k
Murilo S. Baptista United Kingdom 26 901 0.5× 1.4k 0.9× 408 0.6× 234 0.5× 330 0.9× 116 2.5k
C. E. M. Pearce Australia 26 632 0.3× 1.5k 0.9× 552 0.8× 352 0.8× 176 0.5× 149 3.7k
Xiaoqun Wu China 38 3.3k 1.7× 2.6k 1.6× 193 0.3× 393 0.9× 290 0.8× 169 4.5k
Nikolai F. Rulkov United States 33 3.6k 1.8× 4.1k 2.5× 1.8k 2.7× 233 0.5× 453 1.2× 77 5.6k
J. Nagumo Japan 11 1.6k 0.8× 1.9k 1.2× 1.3k 1.9× 273 0.6× 484 1.3× 19 3.8k
А. А. Короновский Russia 32 1.6k 0.8× 1.5k 1.0× 1.2k 1.8× 135 0.3× 301 0.8× 275 3.5k
Serhiy Yanchuk Germany 33 2.3k 1.1× 1.7k 1.1× 768 1.1× 137 0.3× 264 0.7× 110 2.9k
Valentin Afraimovich Mexico 24 1.3k 0.6× 1.4k 0.8× 693 1.0× 159 0.4× 187 0.5× 91 2.3k
Zhouchao Wei China 33 2.1k 1.0× 3.2k 2.0× 274 0.4× 95 0.2× 320 0.9× 135 4.0k

Countries citing papers authored by Martin Hasler

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hasler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hasler

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hasler. A scholar is included among the top collaborators of Martin Hasler 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 Martin Hasler. Martin Hasler 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
1.
Hasler, Martin, et al.. (2013). Geographie. Wissen und verstehen. Ein Handbuch für die Sekundarstufe II.
2.
Shiogai, Yuri, et al.. (2012). Cortico-Cardio-Respiratory Network Interactions during Anesthesia. PLoS ONE. 7(9). e44634–e44634. 6 indexed citations
3.
Rad, Ali Ajdari, Mahdi Jalili, & Martin Hasler. (2011). A lower bound for algebraic connectivity based on the connection-graph-stability method. Linear Algebra and its Applications. 435(1). 186–192. 11 indexed citations
4.
Rad, Ali Ajdari, et al.. (2011). Network community-detection enhancement by proper weighting. Physical Review E. 83(4). 46104–46104. 47 indexed citations
5.
Hafner, Marc, Heinz Koeppl, Martin Hasler, & Andreas Wagner. (2009). ‘Glocal’ Robustness Analysis and Model Discrimination for Circadian Oscillators. PLoS Computational Biology. 5(10). e1000534–e1000534. 51 indexed citations
6.
Jalili, Mahdi, Ali Ajdari Rad, & Martin Hasler. (2008). Enhancing synchronizability of weighted dynamical networks using betweenness centrality. Physical Review E. 78(1). 16105–16105. 41 indexed citations
7.
Knyazeva, Maria G., Mahdi Jalili, Andrea Brioschi, et al.. (2008). Topography of EEG multivariate phase synchronization in early Alzheimer's disease. Neurobiology of Aging. 31(7). 1132–1144. 92 indexed citations
8.
Hasler, Martin & Gernot Kubin. (2008). Mixed-domain system representation using Volterra series. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 572–575. 2 indexed citations
9.
Jalili, Mahdi, Suzie Lavoie, Patricia Deppen, et al.. (2007). Dysconnection Topography in Schizophrenia Revealed with State-Space Analysis of EEG. PLoS ONE. 2(10). e1059–e1059. 57 indexed citations
10.
Carmeli, Cristian, et al.. (2006). State Change Detection Using Multivariate Synchronization Measure from Physiological Signals. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 10(4). 183–186. 7 indexed citations
11.
Belykh, Igor, Enno de Lange, & Martin Hasler. (2005). Synchronization of Bursting Neurons: What Matters in the Network Topology. Physical Review Letters. 94(18). 188101–188101. 348 indexed citations
12.
Schimming, T. & Martin Hasler. (2001). Comparison of different chaos shift keying methods. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 185–188. 3 indexed citations
13.
Nishio, Yoshifumi, Martin Hasler, & Akio Ushida. (2001). Markov Chain Modeling of Chaotic Wandering in Simple Coupled Chaotic Circuits. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 105–108.
14.
Schimming, T. & Martin Hasler. (2000). Chaos communication in the presence of channel noise. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4(1). 21–28. 1 indexed citations
15.
Gerstner, Wulfram, A. Germond, Martin Hasler, & Jean-Daniel Nicoud. (1997). Proceedings of the 7th International Conference on Artificial Neural Networks. 28 indexed citations
16.
Hasler, Martin. (1995). Engineering chaos for encryption and broadband communication. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 353(1701). 115–126. 58 indexed citations
17.
Flanagan, John A. & Martin Hasler. (1995). Self-Organising Artificial Neural Networks. 164. 322–329. 1 indexed citations
18.
Dutoit, B. & Martin Hasler. (1994). Measurement and modeling of the dynamic behaviour of Ag/Bi(2223) superconducting tapes.. Physica B Condensed Matter. 194-196. 77–78. 2 indexed citations
19.
Hasler, Martin & J. Neirynck. (1986). Nonlinear Circuits. 89 indexed citations
20.
Hasler, Martin, et al.. (1986). Switched capacitor filters with a row dominant nodal admittance matrix. International Journal of Circuit Theory and Applications. 14(4). 295–304. 1 indexed citations

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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