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K. Kovalenko

Scuola Superiore Meridionale

4 papers hereh-index 5215 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph3
  • nlin.AO1
affiliations
  • Scuola Superiore Meridionale
ORCID 0000-0002-0029-4016
same name
  • K. Kovalenko — 3 papers, h 3
  • K. Kovalenko — 2 papers, h 1
  • K. Kovalenko — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedContrarians synchronize beyond the limit of pairwise interactions

74 citations · 200 across the 4 of their papers we have counts for

collaborators

4 papers

physics.soc-ph2023

The transition to synchronization of networked systems

Atiyeh Bayani, Fahimeh Nazarimehr, Sajad Jafari +5

We study the synchronization properties of a generic networked dynamical system, and show that, under a suitable approximation, the transition to synchronization can be predicted w…

physics.soc-ph2021★ 74 cited

Contrarians synchronize beyond the limit of pairwise interactions

K. Kovalenko, X. Dai, K. Alfaro-Bittner +3

We give evidence that a population of pure contrarians globally coupled D-dimensional Kuramoto oscillators reaches a collective synchronous state when the interplay between the uni…

nlin.AO2020★ 53 cited

D-dimensional oscillators in simplicial structures: odd and even dimensions display different synchronization scenarios

X. Dai, K. Kovalenko, M. Molodyk +8

From biology to social science, the functioning of a wide range of systems is the result of elementary interactions which involve more than two constituents, so that their descript…

physics.soc-ph2020★ 73 cited

Growing scale-free simplices

K. Kovalenko, I. Sendiña-Nadal, N. Khalil +6

The past two decades have seen significant successes in our understanding of complex networked systems, from the mapping of real-world social, biological and technological networks…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.