I. Armenise

2.3k citations
54 papers · 1.8k · h-index 26

Impact in

Papers in

I. Armenise

54 papers receiving 1.8k citations

Peers

I. Armenise
Comparison fields: 5 of 53
  • Applied Mathematics 1.2k
  • Computational Mechanics 544
  • Atomic and Molecular Physics, and Optics 706
  • Aerospace Engineering 400
  • Radiology, Nuclear Medicine and Imaging 362
Replace Fabrizio Esposito with:
Fabrizio Esposito Italy
Е. В. Кустова Russia
Marie-Yvonne Perrin France
Kenichi Nanbu Japan
Lucia Daniela Pietanza Italy
Deepak Bose United States
Е. А. Нагнибеда Russia
Alessandro Munafò United States
M. Lino da Silva Portugal
Ingrid J. Wysong United States
I. Armenise relative to Fabrizio Esposito Italy Fabrizio Esposito's profile →
Citations per field
00.5×1.6×
Fabrizio Esposito · 1×
Citations per year

Countries citing papers authored by I. Armenise

Since Specialization
Citations

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

Fields of papers citing papers by I. Armenise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I. Armenise, 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 I. Armenise Line = papers co-authored together I. Armenise links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006205
2 2008159
3 200796
4 200690
5 201387
6 199784
7 199682
8 199262
9 202159
10 201656
11 201755
12 199446
13 201345
14 200745
15 199743
16 201142
17 201841
18 200541
19 201540
20 200640

About I. Armenise

I. Armenise is a scholar working on Applied Mathematics, Computational Mechanics, Atomic and Molecular Physics, and Optics, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (45 papers), Combustion and flame dynamics (15 papers), Plasma Applications and Diagnostics (8 papers), Particle Dynamics in Fluid Flows (7 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Plasma and Flow Control in Aerodynamics (7 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Computational Fluid Dynamics and Aerodynamics (6 papers). The work is most often cited by research in Applied Mathematics (1.2k citations), Computational Mechanics (544 citations), Atomic and Molecular Physics, and Optics (706 citations), Aerospace Engineering (400 citations) and Radiology, Nuclear Medicine and Imaging (362 citations). I. Armenise has collaborated with scholars based in Italy, Russia and Netherlands. Frequent co-authors include M. Capitelli, Fabrizio Esposito, Е. В. Кустова, Gianpiero Colonna, C. Gorse, D. Bruno, Е. А. Нагнибеда, Antonio Laganà, R. Celiberto and S. Longo. Their work appears in journals such as Journal of Thermophysics and Heat Transfer, Chemical Physics, The Journal of Physical Chemistry A, Plasma Sources Science and Technology and Journal of Spacecraft and Rockets.

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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