Sina Tabakhi

749 citations
6 papers · 585 indexed · 1 hit paper · h-index 4
Topics
Gene expression and cancer classification (4 papers)Face and Expression Recognition (4 papers)Evolutionary Algorithms and Applications (3 papers)
Partner nations
IranUnited Kingdom

In The Last Decade

Sina Tabakhi

6 papers receiving 562 citations

Hit Papers

An unsupervised feature selection algorithm based on ant ...2014202620182022201450100150200250

Peers

Sina Tabakhi
Comparison fields: 5 of 80
  • Artificial Intelligence 388
  • Computer Vision and Pattern Recognition 222
  • Molecular Biology 172
  • Computational Theory and Mathematics 74
  • Information Systems 49
Replace Jingjie Ni with:
Jingjie Ni China
Salima Ouadfel Algeria
Feng Chu Singapore
Fardin Akhlaghian Iran
Shixiong Xia China
Jinmao Wei China
Eghbal G. Mansoori Iran
Luis Carlos Molina Spain
Pablo Bermejo Spain
G. Jothi India
Sina Tabakhi relative to Jingjie Ni China Jingjie Ni's profile →
Citations per field
00.5×2.5×
Jingjie Ni · 1×
Citations per year

Countries citing papers authored by Sina Tabakhi

Since Specialization
Citations

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

Fields of papers citing papers by Sina Tabakhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Tabakhi

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 3
2 2
3 9
4 152
5 124
6
An unsupervised feature selection algorithm based on ant colony optimizationbreakdown →
295

About Sina Tabakhi

Sina Tabakhi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research, having authored 6 papers that have together received 585 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Face and Expression Recognition (4 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (388 citations), Computer Vision and Pattern Recognition (222 citations) and Computational Theory and Mathematics (74 citations). Sina Tabakhi has collaborated with scholars based in Iran and United Kingdom. Frequent co-authors include Parham Moradi, Fardin Akhlaghian, Ali Najafi, Reza Ranjbar and Haiping Lu. Their work appears in journals such as Pattern Recognition, Neurocomputing and Engineering Applications of Artificial Intelligence.

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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