Arjun Magge
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 2
-
- Biomedical Text Mining and Ontologies 3
- Genomics and Phylogenetic Studies 2
- Co-authors
- Graciela Gonzalez‐Hernandez (22 shared papers)Davy Weissenbacher (15 shared papers)Karen O’Connor (10 shared papers)Abeed Sarker (8 shared papers)Ari Z Klein (10 shared papers)Matthew Scotch (10 shared papers)Ashlynn R. Daughton (1 shared paper)Michael J. Paul (1 shared paper)
- Journals
- Journal of Medical Internet Research (3 papers)Bioinformatics (3 papers)Journal of the American Medical Informatics Association (2 papers)Journal of Personalized Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Arjun Magge
24 papers receiving 374 citations
Peers
Comparison fields: 5 of 71
- Toxicology 42
- Health Informatics 9
- Artificial Intelligence 206
- Geography, Planning and Development 20
- Information Systems 35
Countries citing papers authored by Arjun Magge
This map shows the geographic impact of Arjun Magge'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 Arjun Magge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Magge more than expected).
Fields of papers citing papers by Arjun Magge
This network shows the impact of papers produced by Arjun Magge. 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 Arjun Magge. The network helps show where Arjun Magge may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Magge, 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 | 2019 | 71 | |
| 2 | 2021 | 46 | |
| 3 | 2021 | 45 | |
| 4 | 2017 | 33 | |
| 5 | Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020 | 2020 | 32 |
| 6 | 2019 | 28 | |
| 7 | 2021 | 28 | |
| 8 | 2018 | 23 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 10 | |
| 14 | Clinical NER and Relation Extraction using Bi-Char-LSTMs and Random Forest Classifiers | 2018 | 10 |
| 15 | 2022 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2018 | 6 | |
| 20 | CSaRUS-CNN at AMIA-2017 Tasks 1, 2: Under Sampled CNN for Text Classification. | 2017 | 4 |
About Arjun Magge
Arjun Magge is a scholar working on Artificial Intelligence, Molecular Biology, Epidemiology, Information Systems and Infectious Diseases, having authored 24 papers that have together received 427 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Data-Driven Disease Surveillance (4 papers), Biomedical Text Mining and Ontologies (3 papers), Natural Language Processing Techniques (2 papers), Spam and Phishing Detection (2 papers), Misinformation and Its Impacts (2 papers), Genomics and Phylogenetic Studies (2 papers) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Toxicology (42 citations), Health Informatics (9 citations), Artificial Intelligence (206 citations), Geography, Planning and Development (20 citations) and Information Systems (35 citations). Arjun Magge has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Graciela Gonzalez‐Hernandez, Davy Weissenbacher, Karen O’Connor, Abeed Sarker, Ari Z Klein, Matthew Scotch, Ashlynn R. Daughton, Michael J. Paul, Elena Tutubalina and Zulfat Miftahutdinov. Their work appears in journals such as Journal of Medical Internet Research, Bioinformatics, Journal of the American Medical Informatics Association, Journal of Personalized Medicine and PLoS ONE.
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.