Ali Daneshkhah
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
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- Vitamin D Research Studies
Papers in
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- Advanced Chemical Sensor Technologies 9
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Mangilal Agarwal (9 shared papers)Sudhir Shrestha (4 shared papers)Kody Varahramyan (4 shared papers)Vadim Backman (8 shared papers)Amanda P. Siegel (6 shared papers)Hariharan Subramanian (3 shared papers)Hemant K. Roy (3 shared papers)Vasundhara Agrawal (2 shared papers)
- Journals
- Scientific Reports (3 papers)Genome biology (1 paper)ACS Omega (1 paper)Journal of Breath Research (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- United StatesIranJapan
In The Last Decade
Ali Daneshkhah
23 papers receiving 449 citations
Peers
Comparison fields: 5 of 85
- Bioengineering 53
- Pathology and Forensic Medicine 87
- Biomedical Engineering 194
- Nutrition and Dietetics 55
- Sensory Systems 16
Countries citing papers authored by Ali Daneshkhah
This map shows the geographic impact of Ali Daneshkhah'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 Ali Daneshkhah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Daneshkhah more than expected).
Fields of papers citing papers by Ali Daneshkhah
This network shows the impact of papers produced by Ali Daneshkhah. 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 Ali Daneshkhah. The network helps show where Ali Daneshkhah may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Daneshkhah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2021 | 93 | |
| 3 | 2015 | 55 | |
| 4 | 2017 | 41 | |
| 5 | 2019 | 28 | |
| 6 | 2017 | 26 | |
| 7 | 2020 | 21 | |
| 8 | 2024 | 18 | |
| 9 | 2011 | 18 | |
| 10 | 2023 | 10 | |
| 11 | 2024 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2011 | 3 | |
| 15 | 2012 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2011 | 1 |
About Ali Daneshkhah
Ali Daneshkhah is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Nutrition and Dietetics, having authored 24 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (9 papers), Gas Sensing Nanomaterials and Sensors (5 papers), Analytical Chemistry and Sensors (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Bioengineering (53 citations), Pathology and Forensic Medicine (87 citations), Biomedical Engineering (194 citations), Nutrition and Dietetics (55 citations) and Sensory Systems (16 citations). Ali Daneshkhah has collaborated with scholars based in United States, Iran and Japan. Frequent co-authors include Mangilal Agarwal, Sudhir Shrestha, Kody Varahramyan, Vadim Backman, Amanda P. Siegel, Hariharan Subramanian, Hemant K. Roy, Vasundhara Agrawal, Adam Eshein and Amir Reza Hajrasouliha. Their work appears in journals such as Scientific Reports, Genome biology, ACS Omega, Journal of Breath Research and Chemical Engineering Journal.
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.