Zareen Syed
- Artificial Intelligence top 10%
- Nephrology top 5%
- Information Systems top 5%
- Oncology
- Management Science and Operations Research top 5%
- Co-authors
- Tim FininAnupam JoshiVarish MulwadJohn P. BilezikianAliya KhanAndrew HoDebra H. SchussheimTimothy I. Standish
- Topics
- Semantic Web and Ontologies (13 papers)Natural Language Processing Techniques (9 papers)Topic Modeling (7 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismIEEE AccessLanguage Resources and Evaluation
- Partner nations
- United StatesHong KongIndia
In The Last Decade
Zareen Syed
18 papers receiving 410 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 189
- Nephrology 157
- Information Systems 151
- Oncology 113
- Management Science and Operations Research 105
Countries citing papers authored by Zareen Syed
This map shows the geographic impact of Zareen Syed'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 Zareen Syed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zareen Syed more than expected).
Fields of papers citing papers by Zareen Syed
This network shows the impact of papers produced by Zareen Syed. 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 Zareen Syed. The network helps show where Zareen Syed may publish in the future.
Co-authorship network of co-authors of Zareen Syed
This figure shows the co-authorship network connecting the top 25 collaborators of Zareen Syed. A scholar is included among the top collaborators of Zareen Syed 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 Zareen Syed. Zareen Syed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 96 | |
| 4 | Creating and Exploiting a Hybrid Knowledge Base for Linked Data | 3 |
| 5 | Creating and Exploiting a Web of Semantic Data | 13 |
| 6 | 3 | |
| 7 | 34 | |
| 8 | Wikitology: a novel hybrid knowledge base derived from wikipedia | 7 |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 35 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 25 | |
| 16 | 10 | |
| 17 | Wikitology: Wikipedia as an ontology | 3 |
| 18 | 178 |
About Zareen Syed
Zareen Syed is a scholar working on Communication, Artificial Intelligence and Management Science and Operations Research, having authored 18 papers that have together received 452 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (13 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Nephrology (157 citations), Management Science and Operations Research (105 citations) and Orthopedics and Sports Medicine (68 citations). Zareen Syed has collaborated with scholars based in United States, Hong Kong and India. Frequent co-authors include Tim Finin, Anupam Joshi, Varish Mulwad, John P. Bilezikian, Aliya Khan, Andrew Ho, Debra H. Schussheim, Timothy I. Standish, A W Kung and Mustafa M. Ahmed. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, IEEE Access and Language Resources and Evaluation.
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.