Azadeh Nikfarjam

2.0k total citations · 2 hit papers
25 papers, 1.4k citations indexed

About

Azadeh Nikfarjam is a scholar working on Artificial Intelligence, Toxicology and Molecular Biology. According to data from OpenAlex, Azadeh Nikfarjam has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Toxicology and 8 papers in Molecular Biology. Recurrent topics in Azadeh Nikfarjam's work include Pharmacovigilance and Adverse Drug Reactions (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Topic Modeling (6 papers). Azadeh Nikfarjam is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (10 papers), Biomedical Text Mining and Ontologies (8 papers) and Topic Modeling (6 papers). Azadeh Nikfarjam collaborates with scholars based in United States, Malaysia and Iran. Azadeh Nikfarjam's 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 Matthew Scotch and has published in prestigious journals such as Journal of Investigative Dermatology, Journal of the American Medical Informatics Association and JAMA Oncology.

In The Last Decade

Azadeh Nikfarjam

25 papers receiving 1.3k citations

Hit Papers

Pharmacovigilance from so... 2015 2026 2018 2022 2015 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Azadeh Nikfarjam United States 12 554 505 421 287 186 25 1.4k
Karen O’Connor United States 21 671 1.2× 483 1.0× 490 1.2× 233 0.8× 234 1.3× 57 1.9k
Rachel Ginn United States 7 355 0.6× 375 0.7× 291 0.7× 193 0.7× 121 0.7× 8 1.0k
Abeed Sarker United States 27 1.4k 2.5× 633 1.3× 746 1.8× 336 1.2× 439 2.4× 123 3.0k
Marie‐Christine Jaulent France 20 540 1.0× 288 0.6× 594 1.4× 212 0.7× 32 0.2× 175 1.6k
Juan M. Banda United States 18 568 1.0× 137 0.3× 296 0.7× 108 0.4× 156 0.8× 62 1.5k
Trevor Cohen United States 27 904 1.6× 112 0.2× 778 1.8× 191 0.7× 130 0.7× 141 2.6k
Roxana Daneshjou United States 24 700 1.3× 161 0.3× 587 1.4× 482 1.7× 24 0.1× 77 2.6k
Eiji Aramaki Japan 19 694 1.3× 95 0.2× 306 0.7× 59 0.2× 278 1.5× 153 1.6k
Rave Harpaz United States 21 322 0.6× 1.1k 2.2× 725 1.7× 884 3.1× 29 0.2× 34 2.0k
C Friedman United States 26 1.5k 2.8× 453 0.9× 1.7k 3.9× 302 1.1× 28 0.2× 43 2.8k

Countries citing papers authored by Azadeh Nikfarjam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Nikfarjam, Azadeh, Julia D. Ransohoff, Alison Callahan, et al.. (2019). Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection. JMIR Public Health and Surveillance. 5(2). e11264–e11264. 26 indexed citations
3.
Lerrigo, Robert, et al.. (2019). The Emotional Toll of Inflammatory Bowel Disease: Using Machine Learning to Analyze Online Community Forum Discourse. Crohn s & Colitis 360. 1(2). 9 indexed citations
4.
Nikfarjam, Azadeh, et al.. (2019). Profiling off-label prescriptions in cancer treatment using social health networks. JAMIA Open. 2(3). 301–305. 3 indexed citations
5.
Ransohoff, Julia D., et al.. (2018). 248 Early detection of chemotherapeutic skin toxicities in social health networks using deep learning. Journal of Investigative Dermatology. 138(5). S42–S42. 1 indexed citations
6.
Korkontzelos, Ioannis, Azadeh Nikfarjam, Matthew Shardlow, et al.. (2016). Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. Journal of Biomedical Informatics. 62. 148–158. 122 indexed citations
7.
Sarker, Abeed, Rachel Ginn, Azadeh Nikfarjam, et al.. (2015). Utilizing social media data for pharmacovigilance: A review. Journal of Biomedical Informatics. 54. 202–212. 346 indexed citations breakdown →
8.
Paul, Michael J., Abeed Sarker, John S. Brownstein, et al.. (2015). SOCIAL MEDIA MINING FOR PUBLIC HEALTH MONITORING AND SURVEILLANCE. 468–479. 88 indexed citations
9.
Sarker, Abeed, Azadeh Nikfarjam, & Graciela Gonzalez‐Hernandez. (2015). SOCIAL MEDIA MINING SHARED TASK WORKSHOP. PubMed. 21. 581–592. 39 indexed citations
10.
Sarker, Abeed, Azadeh Nikfarjam, Davy Weissenbacher, & Graciela Gonzalez‐Hernandez. (2015). DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter. 510–514. 6 indexed citations
11.
Nikfarjam, Azadeh, et al.. (2014). Unsupervised gene function extraction using semantic vectors. Database. 2014(0). bau084–bau084. 3 indexed citations
12.
Nikfarjam, Azadeh, et al.. (2014). Phonetic spelling filter for keyword selection in drug mention mining from social media.. PubMed. 2014. 90–5. 28 indexed citations
13.
Nikfarjam, Azadeh, et al.. (2013). Towards generating a patient’s timeline: Extracting temporal relationships from clinical notes. Journal of Biomedical Informatics. 46. S40–S47. 31 indexed citations
14.
Memaryan, Nadereh, et al.. (2013). Determining dimensions of iranians' individual social health: a qualitative approach.. PubMed. 42(Supple1). 88–92. 8 indexed citations
15.
Nikfarjam, Azadeh, et al.. (2012). A Hybrid System for Emotion Extraction from Suicide Notes. PubMed. 5s1(Suppl. 1). BII.S8981–BII.S8981. 13 indexed citations
16.
Nikfarjam, Azadeh, et al.. (2011). Double Layered Learning for Biological Event Extraction from Text. Meeting of the Association for Computational Linguistics. 153–154. 7 indexed citations
17.
Nikfarjam, Azadeh & Graciela Gonzalez‐Hernandez. (2011). Pattern mining for extraction of mentions of Adverse Drug Reactions from user comments.. PubMed. 2011. 1019–26. 86 indexed citations
18.
Nikfarjam, Azadeh, et al.. (2010). Text mining approaches for stock market prediction. 256–260. 61 indexed citations
19.
Muthaiyah, Saravanan, et al.. (2010). Quality Attributes and Classification of Schema Matchers. 4. 344–348. 2 indexed citations
20.
Nikfarjam, Azadeh, et al.. (2010). A comparative study on Measure of Semantic Relatedness function. 2. 94–97. 3 indexed citations

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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