Jean-Jacques Niez

491 citations
26 papers · 345 indexed · h-index 10

Jean-Jacques Niez

26 papers receiving 323 citations

Peers

Jean-Jacques Niez
Comparison fields: 5 of 44
  • Condensed Matter Physics 93
  • Electronic, Optical and Magnetic Materials 89
  • Artificial Intelligence 109
  • Atomic and Molecular Physics, and Optics 105
  • Statistical and Nonlinear Physics 39
Replace W. K. Theumann with:
W. K. Theumann Brazil
Yoshinao Mizugaki Japan
Tamás Geszti Hungary
Stefan Kettemann Germany
E. P. Harris United States
S.R. Whiteley United States
P. Jung Germany
Haggai Landa France
Tom Kibble United Kingdom
Eran Lustig Israel
Jean-Jacques Niez relative to W. K. Theumann Brazil W. K. Theumann's profile →
Citations per field
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W. K. Theumann · 1×
Citations per year

Countries citing papers authored by Jean-Jacques Niez

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Jacques Niez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Jacques Niez. 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 Jean-Jacques Niez. The network helps show where Jean-Jacques Niez may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Jean-Jacques Niez, 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 Jean-Jacques Niez Line = papers co-authored together Jean-Jacques Niez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20101
2 20102
3 200914
4 20042
5 20041
6 20034
7 20024
8 19982
9 199518
10
Neural Networks and Graph K-Partitioning.
198910
11 198814
12 198692
13 198632
14 19808
15 197981
16 19791
17 19783
18 19781
19 19765
20 19755

About Jean-Jacques Niez

Jean-Jacques Niez is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics, having authored 26 papers that have together received 345 indexed citations. Recurring topics across this work include Magnetic properties of thin films (5 papers), Electromagnetic Scattering and Analysis (3 papers), Nuclear physics research studies (3 papers), Theoretical and Computational Physics (3 papers), Scientific Research and Discoveries (3 papers), Neural dynamics and brain function (2 papers), Magnetic and transport properties of perovskites and related materials (2 papers) and Chemical and Physical Properties of Materials (2 papers). The work is most often cited by research in Condensed Matter Physics (93 citations), Electronic, Optical and Magnetic Materials (89 citations) and Artificial Intelligence (109 citations). Jean-Jacques Niez has collaborated with scholars based in France, Germany and United States. Frequent co-authors include P. Péretto, J. Lajzérowicz, E. Bélorizky, Peter M. Levy, Roger Balian, R. Casalegno, J. F. Berger, K. Dietrich, Pierre Baras and J.X. Boucherle. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Annals of Physics, Comptes Rendus Physique, Nuclear Physics A and IEEE Transactions on Magnetics.

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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