Javed Mostafa
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 18
- Advanced Text Analysis Techniques 15
- Topic Modeling 12
- Data Stream Mining Techniques 8
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- Electronic Health Records Systems 10
- Information Systems top 2%
- Recommender Systems and Techniques 13
- Web Data Mining and Analysis 8
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- Biomedical Text Mining and Ontologies 29
- Co-authors
- Mathew PalakalWai LamSaurabh MukhopadhyayManish KumarKazuhiro SekiGuilherme Del FiolSiddhartha JonnalagaddaCharlene Weir
- Journals
- Proceedings of the American Society for Information Science and Technology (8 papers)Information Processing & Management (4 papers)Clinical and Translational Science (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Javed Mostafa
105 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 132
- Health Informatics 40
- Artificial Intelligence 601
- Health Information Management 86
- Information Systems 392
- Library and Information Sciences 16
Countries citing papers authored by Javed Mostafa
This map shows the geographic impact of Javed Mostafa'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 Javed Mostafa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javed Mostafa more than expected).
Fields of papers citing papers by Javed Mostafa
This network shows the impact of papers produced by Javed Mostafa. 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 Javed Mostafa. The network helps show where Javed Mostafa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javed Mostafa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 37 | |
| 5 | 2021 | 34 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 1 | |
| 9 | 2015 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2014 | 138 | |
| 12 | 2011 | 5 | |
| 13 | 2009 | 1 | |
| 14 | TREC 2004 Genomics Track Experiments at IUB | 2004 | 7 |
| 15 | 2003 | 1 | |
| 16 | 2002 | 7 | |
| 17 | 2002 | 0 | |
| 18 | Using a Spring Embedding Algorithm to Display Term Relationships from a Medical Concept Discovery System | 2001 | 1 |
| 19 | 2001 | 2 | |
| 20 | 2000 | 36 |
About Javed Mostafa
Javed Mostafa is a scholar working on Health Information Management, Computer Science Applications and Artificial Intelligence, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Semantic Web and Ontologies (18 papers), Advanced Text Analysis Techniques (15 papers), Recommender Systems and Techniques (13 papers), Topic Modeling (12 papers), Electronic Health Records Systems (10 papers), Web Data Mining and Analysis (8 papers) and Data Stream Mining Techniques (8 papers). The work is most often cited by research in Health Informatics (40 citations), Artificial Intelligence (601 citations) and Health Information Management (86 citations). Javed Mostafa has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mathew Palakal, Wai Lam, Saurabh Mukhopadhyay, Manish Kumar, Kazuhiro Seki, Guilherme Del Fiol, Siddhartha Jonnalagadda, Charlene Weir, Weimao Ke and Marcelo Fiszman. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information Processing & Management, Clinical and Translational Science, D-Lib Magazine and Journal of the Association for Information Science and Technology.
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.