Philipp Hövel

6.1k total citations · 1 hit paper
88 papers, 4.1k citations indexed

About

Philipp Hövel is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Philipp Hövel has authored 88 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Networks and Communications, 53 papers in Statistical and Nonlinear Physics and 28 papers in Cognitive Neuroscience. Recurrent topics in Philipp Hövel's work include Nonlinear Dynamics and Pattern Formation (60 papers), stochastic dynamics and bifurcation (32 papers) and Neural dynamics and brain function (28 papers). Philipp Hövel is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (60 papers), stochastic dynamics and bifurcation (32 papers) and Neural dynamics and brain function (28 papers). Philipp Hövel collaborates with scholars based in Germany, Ireland and United States. Philipp Hövel's co-authors include Eckehard Schöll, Iryna Omelchenko, Yuri Maistrenko, Johanne Hizanidis, A. Provata, Oleh E. Omel’chenko, Aaron M. Hagerstrom, Rajarshi Roy, Thomas E. Murphy and Valentín Flunkert and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Philipp Hövel

88 papers receiving 4.0k citations

Hit Papers

Experimental observation ... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Philipp Hövel 3.1k 2.1k 1.2k 846 352 88 4.1k
Yuri Maistrenko 3.8k 1.2× 2.3k 1.1× 1.4k 1.2× 1.3k 1.5× 251 0.7× 67 4.6k
Renato Mirollo 3.0k 1.0× 1.5k 0.7× 1.1k 0.9× 736 0.9× 248 0.7× 31 3.6k
Zonghua Liu 2.2k 0.7× 2.6k 1.2× 1.2k 1.0× 513 0.6× 210 0.6× 216 5.1k
Dibakar Ghosh 4.1k 1.3× 3.7k 1.7× 2.0k 1.6× 682 0.8× 393 1.1× 257 6.3k
Marc Timme 2.0k 0.6× 1.7k 0.8× 1.4k 1.1× 358 0.4× 955 2.7× 138 4.4k
Juan A. Acebrón 2.1k 0.7× 1.1k 0.5× 826 0.7× 595 0.7× 175 0.5× 42 2.9k
Carlo R. Laing 2.3k 0.8× 1.8k 0.8× 2.2k 1.9× 774 0.9× 258 0.7× 82 3.6k
Serhiy Yanchuk 2.3k 0.7× 1.7k 0.8× 768 0.6× 299 0.4× 420 1.2× 110 2.9k
C. J. Pérez Vicente 2.0k 0.6× 1.0k 0.5× 826 0.7× 544 0.6× 150 0.4× 18 2.6k
Anna Zakharova 2.5k 0.8× 1.7k 0.8× 1.2k 1.0× 766 0.9× 109 0.3× 83 2.8k

Countries citing papers authored by Philipp Hövel

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Hövel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Hövel

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Hövel. A scholar is included among the top collaborators of Philipp Hövel 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 Philipp Hövel. Philipp Hövel 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.
Lenk, Claudia, et al.. (2024). Bio-inspired, adaptive acoustic sensor: Sensing properties in dependence of feedback parameters. AIP conference proceedings. 3062. 40011–40011. 7 indexed citations
2.
Goerling, Ute, Anja Mehnert, Beate Hornemann, et al.. (2024). Social Support, Depression and Anxiety in Cancer Patient‐Relative Dyads in Early Survivorship: An Actor‐Partner Interdependence Modeling Approach. Psycho-Oncology. 33(12). e70038–e70038. 5 indexed citations
3.
Goerling, Ute, Jochen Ernst, Peter Esser, et al.. (2024). Estimating the prevalence of mental disorders in patients with newly diagnosed cancer in relation to socioeconomic status: a multicenter prospective observational study. ESMO Open. 9(8). 103655–103655. 10 indexed citations
4.
Ochs, Karlheinz, et al.. (2023). A memristor-based circuit approximation of the Hindmarsh–Rose model. The European Physical Journal B. 96(8). 6 indexed citations
5.
Amann, Andreas, et al.. (2023). Transitional cluster dynamics in a model for delay-coupled chemical oscillators. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(6). 2 indexed citations
6.
Lenk, Claudia, Philipp Hövel, Thomas Meurer, et al.. (2023). Neuromorphic acoustic sensing using an adaptive microelectromechanical cochlea with integrated feedback. Nature Electronics. 6(5). 370–380. 41 indexed citations
7.
Viswanathan, G. M., et al.. (2023). Information parity increases on functional brain networks under influence of a psychedelic substance. Journal of Physics Complexity. 4(1). 01LT02–01LT02. 1 indexed citations
8.
Ghanbarnejad, Fakhteh, et al.. (2022). Emergence of synergistic and competitive pathogens in a coevolutionary spreading model. Physical review. E. 105(3). 34308–34308. 1 indexed citations
9.
Pinotti, Francesco, Fakhteh Ghanbarnejad, Philipp Hövel, & Chiara Poletto. (2020). Interplay between competitive and cooperative interactions in a three-player pathogen system. Research Padua Archive (University of Padua). 12 indexed citations
10.
Lorenz-Spreen, Philipp, Bjarke Mønsted, Philipp Hövel, & Sune Lehmann. (2019). Accelerating dynamics of collective attention. Nature Communications. 10(1). 1759–1759. 138 indexed citations
11.
Lorenz-Spreen, Philipp, et al.. (2018). Tracking online topics over time: understanding dynamic hashtag communities. SHILAP Revista de lepidopterología. 5(1). 9–9. 11 indexed citations
12.
Grauwin, Sébastian, Michael Szell, Stanislav Sobolevsky, et al.. (2016). DSpace@MIT (Massachusetts Institute of Technology). 35 indexed citations
13.
Omelchenko, Iryna, A. Provata, Johanne Hizanidis, Eckehard Schöll, & Philipp Hövel. (2015). Robustness of chimera states for coupled FitzHugh-Nagumo oscillators. Physical Review E. 91(2). 22917–22917. 156 indexed citations
14.
Lentz, Hartmut H. K., et al.. (2013). On the Robustness of In- and Out-Components in a Temporal Network. PLoS ONE. 8(2). e55223–e55223. 32 indexed citations
15.
Omel’chenko, Oleh E., et al.. (2012). Multi-Chimera States in FitzHugh-Nagumo Oscillators. arXiv (Cornell University). 1 indexed citations
16.
Omelchenko, Iryna, Yuri Maistrenko, Philipp Hövel, & Eckehard Schöll. (2011). Loss of Coherence in Dynamical Networks: Spatial Chaos and Chimera States. Physical Review Letters. 106(23). 234102–234102. 335 indexed citations
17.
Dahms, Thomas, Philipp Hövel, & Eckehard Schöll. (2008). Stabilizing continuous-wave output in semiconductor lasers by time-delayed feedback. Physical Review E. 78(5). 56213–56213. 25 indexed citations
18.
Dahms, Thomas, Philipp Hövel, & Eckehard Schöll. (2007). Control of unstable steady states by extended time-delayed feedback. Physical Review E. 76(5). 56201–56201. 38 indexed citations
19.
Just, Wolfram, et al.. (2007). Beyond the odd number limitation: A bifurcation analysis of time-delayed feedback control. Physical Review E. 76(2). 26210–26210. 65 indexed citations
20.
Hövel, Philipp & Eckehard Schöll. (2005). Control of unstable steady states by time-delayed feedback methods. Physical Review E. 72(4). 46203–46203. 149 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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