Elnaz Pashaei

961 citations
30 papers · 741 indexed · h-index 13
Topics
Gene expression and cancer classification (14 papers)Machine Learning in Bioinformatics (11 papers)Metaheuristic Optimization Algorithms Research (9 papers)

In The Last Decade

Elnaz Pashaei

30 papers receiving 720 citations

Peers

Elnaz Pashaei
Comparison fields: 5 of 109
  • Artificial Intelligence 386
  • Molecular Biology 290
  • Computer Vision and Pattern Recognition 112
  • Cancer Research 100
  • Computational Theory and Mathematics 69
Replace Elham Pashaei with:
Elham Pashaei Türkiye
Rukshan Batuwita United Kingdom
Alok Kumar Shukla India
Andrea Bommert Germany
Yuhai Zhao China
Jun Shu China
Yu‐Da Lin Taiwan
Bilal Mirza Singapore
Andri Mirzal Malaysia
Marek Krętowski Poland
Elnaz Pashaei relative to Elham Pashaei Türkiye Elham Pashaei's profile →
Citations per field
00.5×1.5×
Elham Pashaei · 1×
Citations per year

Countries citing papers authored by Elnaz Pashaei

Since Specialization
Citations

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

Fields of papers citing papers by Elnaz Pashaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elnaz Pashaei

This figure shows the co-authorship network connecting the top 25 collaborators of Elnaz Pashaei. A scholar is included among the top collaborators of Elnaz Pashaei 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 Elnaz Pashaei. Elnaz Pashaei 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 4
2 3
3 1
4 2
5 9
6 8
7 12
8 8
9 33
10 12
11 91
12 31
13 21
14 6
15 70
16 101
17 18
18 9
19 25
20 12

About Elnaz Pashaei

Elnaz Pashaei is a scholar working on Media Technology, Health Information Management and Artificial Intelligence, having authored 30 papers that have together received 741 indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), Machine Learning in Bioinformatics (11 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Artificial Intelligence (386 citations), Health Information Management (32 citations) and Cancer Research (100 citations). Elnaz Pashaei has collaborated with scholars based in Türkiye, United States and Iran. Frequent co-authors include Elham Pashaei, Nizamettin Aydın, Mustafa Özen, Esra Güzel, Seyedsaeid Mirkamali, Ali Asghar Rahmani Hosseinabadi, Seyedali Mirjalili, Adam Słowik, Michael K. Wendt and Xuehong Deng. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Analytical Biochemistry.

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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