Elham Pashaei
- Molecular Biology
- Artificial Intelligence top 5%
- Cancer Research
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Topics
- Machine Learning in Bioinformatics (12 papers)Gene expression and cancer classification (12 papers)Molecular Biology Techniques and Applications (4 papers)
- Partner nations
- TürkiyeUnited StatesIran
In The Last Decade
Elham Pashaei
26 papers receiving 595 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 243
- Artificial Intelligence 241
- Cancer Research 82
- Computer Vision and Pattern Recognition 76
- Biomedical Engineering 52
Countries citing papers authored by Elham Pashaei
This map shows the geographic impact of Elham 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 Elham Pashaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elham Pashaei more than expected).
Fields of papers citing papers by Elham Pashaei
This network shows the impact of papers produced by Elham 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 Elham Pashaei. The network helps show where Elham Pashaei may publish in the future.
Co-authorship network of co-authors of Elham Pashaei
This figure shows the co-authorship network connecting the top 25 collaborators of Elham Pashaei. A scholar is included among the top collaborators of Elham 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 Elham Pashaei. Elham Pashaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 8 | |
| 6 | 19 | |
| 7 | 33 | |
| 8 | 12 | |
| 9 | 91 | |
| 10 | 31 | |
| 11 | 21 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 70 | |
| 15 | 101 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 13 | |
| 19 | 10 | |
| 20 | 17 |
About Elham Pashaei
Elham Pashaei is a scholar working on Media Technology, Molecular Biology and Health Information Management, having authored 27 papers that have together received 603 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (12 papers), Gene expression and cancer classification (12 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Cancer Research (82 citations) and Health Information Management (18 citations). Elham Pashaei has collaborated with scholars based in Türkiye, United States and Iran. Frequent co-authors include Elnaz Pashaei, Nizamettin Aydın, Mustafa Özen, Ali Maghari, Alper Yılmaz and Seyedali Mirjalili. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and Expert Systems with Applications.
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.