Abeed Sarker
Impact in
- Toxicology top 0.1%
- Pharmacovigilance and Adverse Drug Reactions
- Health Informatics top 2%
Papers in
-
- Topic Modeling 38
- Natural Language Processing Techniques 15
- Sentiment Analysis and Opinion Mining 10
- Advanced Text Analysis Techniques 9
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- Biomedical Text Mining and Ontologies 27
- Co-authors
- Graciela Gonzalez‐Hernandez (39 shared papers)Karen O’Connor (16 shared papers)Azadeh Nikfarjam (7 shared papers)Rachel Ginn (3 shared papers)Karen L. Smith (4 shared papers)Mohammed Ali Al-Garadi (28 shared papers)Jeanmarie Perrone (11 shared papers)Davy Weissenbacher (11 shared papers)
- Journals
- Journal of the American Medical Informatics Association (8 papers)Journal of Biomedical Informatics (8 papers)Journal of Medical Internet Research (4 papers)Clinical Toxicology (3 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Abeed Sarker
115 papers receiving 2.9k citations
Abeed Sarker's Hit Papers
Peers
Comparison fields: 5 of 139
- Toxicology 581
- Health Informatics 79
- Artificial Intelligence 1.1k
- Health Information Management 78
- Computational Theory and Mathematics 263
Countries citing papers authored by Abeed Sarker
This map shows the geographic impact of Abeed Sarker'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 Abeed Sarker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeed Sarker more than expected).
Fields of papers citing papers by Abeed Sarker
This network shows the impact of papers produced by Abeed Sarker. 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 Abeed Sarker. The network helps show where Abeed Sarker may publish in the future.
Co-authors
The 25 scholars most cited alongside Abeed Sarker, 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features Hit paper breakdown → | 2015 | 382 |
| 2 | Utilizing social media data for pharmacovigilance: A review Hit paper breakdown → | 2015 | 349 |
| 3 | Portable automatic text classification for adverse drug reaction detection via multi-corpus training Hit paper breakdown → | 2014 | 252 |
| 4 | 2016 | 136 | |
| 5 | 2016 | 122 | |
| 6 | 2017 | 91 | |
| 7 | 2015 | 89 | |
| 8 | 2020 | 87 | |
| 9 | 2019 | 71 | |
| 10 | 2019 | 70 | |
| 11 | 2018 | 61 | |
| 12 | 2023 | 60 | |
| 13 | 2018 | 56 | |
| 14 | 2021 | 54 | |
| 15 | 2022 | 48 | |
| 16 | 2021 | 45 | |
| 17 | 2016 | 43 | |
| 18 | 2015 | 39 | |
| 19 | 2017 | 33 | |
| 20 | Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020 | 2020 | 32 |
About Abeed Sarker
Abeed Sarker is a scholar working on Artificial Intelligence, Molecular Biology, Health, Epidemiology and Sociology and Political Science, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Biomedical Text Mining and Ontologies (27 papers), Natural Language Processing Techniques (15 papers), Sentiment Analysis and Opinion Mining (10 papers), Misinformation and Its Impacts (9 papers), Advanced Text Analysis Techniques (9 papers), Opioid Use Disorder Treatment (7 papers) and Social Media in Health Education (7 papers). The work is most often cited by research in Toxicology (581 citations), Health Informatics (79 citations), Artificial Intelligence (1.1k citations), Health Information Management (78 citations) and Computational Theory and Mathematics (263 citations). Abeed Sarker has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Graciela Gonzalez‐Hernandez, Karen O’Connor, Azadeh Nikfarjam, Rachel Ginn, Karen L. Smith, Mohammed Ali Al-Garadi, Jeanmarie Perrone, Davy Weissenbacher, Yuan‐Chi Yang and Matthew Scotch. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Journal of Medical Internet Research, Clinical Toxicology and Bioinformatics.
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.