Azadeh Nikfarjam
- Artificial Intelligence top 2%
- Toxicology top 0.2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Sociology and Political Science top 10%
- Co-authors
- Graciela Gonzalez‐HernandezAbeed SarkerRachel GinnKaren O’ConnorKaren L. SmithSaravanan MuthaiyahMatthew ShardlowSophia Ananiadou
- Topics
- Pharmacovigilance and Adverse Drug Reactions (10 papers)Biomedical Text Mining and Ontologies (8 papers)Topic Modeling (6 papers)
- Journals
- Journal of Investigative DermatologyJournal of the American Medical Informatics AssociationJAMA Oncology
- Partner nations
- United StatesMalaysiaIran
In The Last Decade
Azadeh Nikfarjam
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 554
- Toxicology 505
- Molecular Biology 421
- Computational Theory and Mathematics 287
- Sociology and Political Science 186
Countries citing papers authored by Azadeh Nikfarjam
This map shows the geographic impact of Azadeh Nikfarjam'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 Azadeh Nikfarjam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azadeh Nikfarjam more than expected).
Fields of papers citing papers by Azadeh Nikfarjam
This network shows the impact of papers produced by Azadeh Nikfarjam. 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 Azadeh Nikfarjam. The network helps show where Azadeh Nikfarjam may publish in the future.
Co-authorship network of co-authors of Azadeh Nikfarjam
This figure shows the co-authorship network connecting the top 25 collaborators of Azadeh Nikfarjam. A scholar is included among the top collaborators of Azadeh Nikfarjam 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 Azadeh Nikfarjam. Azadeh Nikfarjam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 26 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 122 | |
| 7 | Utilizing social media data for pharmacovigilance: A reviewbreakdown → | 346 |
| 8 | 88 | |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 3 | |
| 12 | Phonetic spelling filter for keyword selection in drug mention mining from social media. | 28 |
| 13 | 31 | |
| 14 | Determining dimensions of iranians' individual social health: a qualitative approach. | 8 |
| 15 | 13 | |
| 16 | Double Layered Learning for Biological Event Extraction from Text | 7 |
| 17 | Pattern mining for extraction of mentions of Adverse Drug Reactions from user comments. | 86 |
| 18 | 61 | |
| 19 | 2 | |
| 20 | 3 |
About Azadeh Nikfarjam
Azadeh Nikfarjam is a scholar working on Toxicology, Artificial Intelligence and Computational Theory and Mathematics, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Topic Modeling (6 papers). The work is most often cited by research in Toxicology (505 citations), Computational Theory and Mathematics (287 citations) and Artificial Intelligence (554 citations). Azadeh Nikfarjam has collaborated with scholars based in United States, Malaysia and Iran. Frequent co-authors include Graciela Gonzalez‐Hernandez, Abeed Sarker, Rachel Ginn, Karen O’Connor, Karen L. Smith, Saravanan Muthaiyah, Matthew Shardlow, Sophia Ananiadou, Ioannis Korkontzelos and John S. Brownstein. Their work appears in journals such as Journal of Investigative Dermatology, Journal of the American Medical Informatics Association and JAMA Oncology.
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.