Bachir Aoun

795 citations
21 papers · 673 · h-index 13

Impact in

Papers in

    • Material Dynamics and Properties 5
    • Machine Learning in Materials Science 3
    • X-ray Diffraction in Crystallography 3
    • Ionic liquids properties and applications 8

Bachir Aoun

21 papers receiving 664 citations

Peers

Bachir Aoun
Comparison fields: 5 of 69
  • Catalysis 209
  • Filtration and Separation 28
  • Electrochemistry 76
  • Fluid Flow and Transfer Processes 75
  • Materials Chemistry 274
Replace Xiang Zhu with:
Xiang Zhu China
M. Takeuchi Japan
Eric T. Fox United States
Madhusudan Tyagi United States
Zachary A. H. Goodwin United Kingdom
Takashi Iwahashi Japan
Katrin Forster‐Tonigold Germany
Nicolas G. Hörmann Germany
Vladislav Ivaništšev Estonia
Mahdy M. Elmahdy Egypt
Bachir Aoun relative to Xiang Zhu China Xiang Zhu's profile →
Citations per field
00.5×3.1×
Xiang Zhu · 1×
Citations per year

Countries citing papers authored by Bachir Aoun

Since Specialization
Citations

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

Fields of papers citing papers by Bachir Aoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018159
2 201670
3 201170
4 201654
5 201039
6 202036
7 201535
8 201031
9 201628
10 201426
11 201623
12 201622
13 201619
14 201511
15 201610
16 201310
17 20159
18 20168
19 20228
20 20184

About Bachir Aoun

Bachir Aoun is a scholar working on Materials Chemistry, Catalysis, Atomic and Molecular Physics, and Optics, Fluid Flow and Transfer Processes and Electrical and Electronic Engineering, having authored 21 papers that have together received 673 indexed citations. Recurring topics across this work include Ionic liquids properties and applications (8 papers), Material Dynamics and Properties (5 papers), Thermodynamic properties of mixtures (4 papers), Machine Learning in Materials Science (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), X-ray Diffraction in Crystallography (3 papers), Electrochemical Analysis and Applications (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Catalysis (209 citations), Filtration and Separation (28 citations), Electrochemistry (76 citations), Fluid Flow and Transfer Processes (75 citations) and Materials Chemistry (274 citations). Bachir Aoun has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Marie‐Louise Saboungi, Miguel A. González, Eric Pellegrini, Yang Ren, David L. Price, Shinji Kohara, Andreas Goldbach, Cheng‐Jun Sun, Margarita Russina and Zhongxue Chen. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry B, Chem, Chemistry of Materials and Journal of the Physical Society of Japan.

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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