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F. Mancini

32 papers hereh-index 201.8k citations239 works total

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

author position
  • sole author5
  • first author7
  • middle author5
  • last author12

Across the 29 of 32 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el30
  • cond-mat.stat-mech1
  • cond-mat.supr-con1
same name
  • F. Mancini — 10 papers, h 9
  • F. Mancini — 2 papers, h 2
  • F. Mancini — 2 papers, h 3

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
19982008
most citedThe Hubbard model within the equations of motion approach

99 citations · 200 across the 22 of their papers we have counts for

collaborators
Showing 2005Show all

4 papers · 1 filter

cond-mat.str-el2005★ 99 cited

The Hubbard model within the equations of motion approach

F. Mancini, A. Avella

The Hubbard model has a special role in Condensed Matter Theory as it is considered as the simplest Hamiltonian model one can write in order to describe anomalous physical properti…

cond-mat.str-el2005★ 13 cited

New perspectives on the Ising model

Ferdinando Mancini

The Ising model, in presence of an external magnetic field, is isomorphic to a model of localized interacting particles satisfying the Fermi statistics. By using this isomorphism,…

cond-mat.str-el2005★ 16 cited

A generating functional approach to the Hubbard model

Yu. A. Izyumov, N. I. Chaschin, D. S. Alexeev +1

The method of generating functional is generalized to the case of strongly correlated systems, and applied to the Hubbard model. For the electronic Green's function constructed for…

cond-mat.str-el2005★ 17 cited

Fermionic systems with charge correlations

Ferdinando Mancini

In this paper, we show that a system of localized particles, satisfying the Fermi statistics and subject to finite-range interactions, can be exactly solved in any dimension. In fa…

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