Emine Küçükbenli

2.2k citations
14 papers · 385 indexed · h-index 11
Topics
Machine Learning in Materials Science (5 papers)Graphene research and applications (3 papers)Advanced NMR Techniques and Applications (3 papers)
Partner nations
ItalyUnited StatesBrazil

In The Last Decade

Emine Küçükbenli

14 papers receiving 377 citations

Peers

Emine Küçükbenli
Comparison fields: 5 of 60
  • Materials Chemistry 298
  • Spectroscopy 61
  • Electrical and Electronic Engineering 61
  • Inorganic Chemistry 49
  • Physical and Theoretical Chemistry 43
Replace L. Malier with:
L. Malier France
Keiji Okazaki Japan
Y. Feutelais France
M. Todd Knippenberg United States
A. P. Stepanov Russia
Charly Mayeux France
Thomas M. Nymand Denmark
N. R. Ivanov Russia
D. van der Putten Netherlands
Wojciech Zając Poland
Emine Küçükbenli relative to L. Malier France L. Malier's profile →
Citations per field
00.5×10×17.3×
L. Malier · 1×
Citations per year

Countries citing papers authored by Emine Küçükbenli

Since Specialization
Citations

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

Fields of papers citing papers by Emine Küçükbenli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emine Küçükbenli

This figure shows the co-authorship network connecting the top 25 collaborators of Emine Küçükbenli. A scholar is included among the top collaborators of Emine Küçükbenli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emine Küçükbenli. Emine Küçükbenli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 25
2 6
3 6
4 12
5 61
6
A neural network interatomic potential for molten NaCl
1
7 41
8 13
9 22
10 18
11 28
12 79
13 23
14 50

About Emine Küçükbenli

Emine Küçükbenli is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry and Spectroscopy, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Graphene research and applications (3 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Materials Chemistry (298 citations), Physical and Theoretical Chemistry (43 citations) and Fluid Flow and Transfer Processes (24 citations). Emine Küçükbenli has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Stefano de Gironcoli, Riccardo Sabatini, Alexandre A. Leitão, Timo Thonhauser, Brian Kolb, Efthimios Kaxiras, Stephen Lam, Boris Khaykovich, Ju Li and Qing‐Jie Li. Their work appears in journals such as The Journal of Chemical Physics, Nano Letters and Physical Review B.

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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