Hasan Kurban

469 citations
40 papers · 329 indexed · h-index 12
Topics
Machine Learning in Materials Science (8 papers)Copper-based nanomaterials and applications (4 papers)Face and Expression Recognition (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Communications

In The Last Decade

Hasan Kurban

33 papers receiving 321 citations

Peers

Hasan Kurban
Comparison fields: 5 of 77
  • Materials Chemistry 181
  • Electrical and Electronic Engineering 86
  • Artificial Intelligence 42
  • Biomedical Engineering 31
  • Automotive Engineering 29
Replace Yuki Matsuda with:
Yuki Matsuda Japan
Daniil Bash Singapore
Flore Mekki‐Berrada Singapore
Chunyan Li China
Weilin Zhao China
Bing Cao Canada
Qiaohao Liang United States
Yeonghun Kang South Korea
Sterling G. Baird United States
Jiayi Lu China
Hasan Kurban relative to Yuki Matsuda Japan Yuki Matsuda's profile →
Citations per field
00.5×10.5×
Yuki Matsuda · 1×
Citations per year

Countries citing papers authored by Hasan Kurban

Since Specialization
Citations

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

Fields of papers citing papers by Hasan Kurban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hasan Kurban

This figure shows the co-authorship network connecting the top 25 collaborators of Hasan Kurban. A scholar is included among the top collaborators of Hasan Kurban 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 Hasan Kurban. Hasan Kurban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 0
6 3
7 27
8 8
9 4
10 1
11 17
12 6
13 2
14 27
15 41
16 1
17 0
18 4
19 11
20 2

About Hasan Kurban

Hasan Kurban is a scholar working on Instrumentation, Artificial Intelligence and Analytical Chemistry, having authored 40 papers that have together received 329 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Copper-based nanomaterials and applications (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Materials Chemistry (181 citations), Automotive Engineering (29 citations) and Energy Engineering and Power Technology (6 citations). Hasan Kurban has collaborated with scholars based in United States, Türkiye and Qatar. Frequent co-authors include Mustafa Kurban, Mehmet Dalkılıç, İskender Muz, Salim Erol, Erchin Serpedin, Hussein Mohsen, Khalid Qaraqe, Maryam Raeeszadeh‐Sarmazdeh, Saud Althunibat and Goran Petrovski. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Communications.

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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