Abeed Sarker

5.0k total citations · 3 hit papers
123 papers, 3.0k citations indexed

About

Abeed Sarker is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Abeed Sarker has authored 123 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 39 papers in Molecular Biology and 24 papers in Epidemiology. Recurrent topics in Abeed Sarker's work include Topic Modeling (53 papers), Biomedical Text Mining and Ontologies (39 papers) and Natural Language Processing Techniques (18 papers). Abeed Sarker is often cited by papers focused on Topic Modeling (53 papers), Biomedical Text Mining and Ontologies (39 papers) and Natural Language Processing Techniques (18 papers). Abeed Sarker collaborates with scholars based in United States, Australia and United Kingdom. Abeed Sarker's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Abeed Sarker

114 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

2015 376 citations Abeed Sarker, Karen O’Connor et al. Journal of the American Medical Informatics Association profile →
Utilizing social media data for pharmacovigilance: A review

2015 346 citations Abeed Sarker, Karen O’Connor et al. Journal of Biomedical Informatics profile →
Portable automatic text classification for adverse drug reaction detection via multi-corpus training

2014 250 citations Abeed Sarker, Graciela Gonzalez‐Hernandez Journal of Biomedical Informatics profile →

Peers

Countries citing papers authored by Abeed Sarker

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Abeed Sarker

This figure shows the co-authorship network connecting the top 25 collaborators of Abeed Sarker. A scholar is included among the top collaborators of Abeed Sarker 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 Abeed Sarker. Abeed Sarker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automating inductive thematic analyses of health content using large language models: a proof-of-concept study using social media data 2025 ·JAMIA Open ·(unknown), Rajiv Ranjan, (unknown), Anthony Spadaro, Selen Bozkurt, Jeanmarie Perrone, Abeed Sarker	0
2	Characterization of Reddit Posts About Xylazine-Associated Wounds: Qualitative Study 2025 ·JMIR Dermatology ·Anthony Spadaro, (unknown), (unknown), Rachel Wightman, Jennifer S. Love, Jeanmarie Perrone, Abeed Sarker	1
3	Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition 2024 ·Studies in health technology and informatics ·(unknown), Mohammed Ali Al-Garadi, Abeed Sarker	2
4	Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis 2024 ·JMIR Mental Health ·(unknown), Andrew Walker, (unknown), (unknown), Steven A. Sumner, Karin A. Mack, (unknown), Abeed Sarker	3
5	Evaluating large language models for health-related text classification tasks with public social media data 2024 ·Journal of the American Medical Informatics Association ·Yuting Guo, (unknown), Mohammed Ali Al-Garadi, Abeed Sarker	16
6	SocBERT: A Pretrained Model for Social Media Text 2023 ·Yuting Guo, Abeed Sarker	1
7	Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? 2023 ·Proceedings of the National Academy of Sciences ·Yuan‐Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, Hannah L. F. Cooper, Jeanmarie Perrone, Abeed Sarker	6
8	An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes 2023 ·Clinical Toxicology ·Rachel Wightman, Jeanmarie Perrone, Alexandra B. Collins, (unknown), Abeed Sarker	2
9	Evidence of the emergence of illicit benzodiazepines from online drug forums 2022 ·European Journal of Public Health ·Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, (unknown), Christopher M. Jones, Steven A. Sumner	9
10	Automatic gender detection in Twitter profiles for health-related cohort studies 2021 ·JAMIA Open ·Yuan‐Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, Jeanmarie Perrone, Abeed Sarker	13
11	Methadone and suboxone ^® mentions on twitter: thematic and sentiment analysis 2021 ·Clinical Toxicology ·(unknown), Jeanmarie Perrone, Jennifer S. Love, (unknown), (unknown), Abeed Sarker	18
12	Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021 2021 ·Arjun Magge, Ari Z Klein, (unknown), Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, (unknown), (unknown), (unknown), Karen O’Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez‐Hernandez	45
13	Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports 2021 ·JAMIA Open ·Abeed Sarker, Yao Ge	19
14	Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource 2020 ·Journal of the American Medical Informatics Association ·Abeed Sarker, (unknown), (unknown), Angel Xie, Mohammed Ali Al-Garadi, Yuan‐Chi Yang	86
15	Data-Driven Lexical Normalization for Medical SocialMedia 2019 ·Multimodal Technologies and Interaction ·(unknown), Suzan Verberne, Abeed Sarker, Wessel Kraaij	10
16	Deep neural networks ensemble for detecting medication mentions in tweets 2019 ·Journal of the American Medical Informatics Association ·Davy Weissenbacher, Abeed Sarker, Ari Z Klein, Karen O’Connor, Arjun Magge, Graciela Gonzalez‐Hernandez	29
17	An interpretable natural language processing system for written medical examination assessment 2019 ·Journal of Biomedical Informatics ·Abeed Sarker, Ari Z Klein, Janet Mee, Polina Harik, Graciela Gonzalez‐Hernandez	31
18	Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines 2019 ·Journal of Medical Internet Research ·Karen O’Connor, Abeed Sarker, Jeanmarie Perrone, Graciela Gonzalez‐Hernandez	19
19	Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature 2018 ·PubMed ·Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez‐Hernandez	6
20	A customizable pipeline for social media text normalization 2017 ·Social Network Analysis and Mining ·Abeed Sarker	17

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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