Mohammed Khalilia
- Artificial Intelligence top 5%
- Health Information Management top 1%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- Mihail PopescuSounak ChakrabortySanghoon LeeDavid MantheyDavid A. GutmanLee CooperJonathan BeezleyDeepak R. Chittajallu
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (9 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- United StatesPalestinian TerritoryCanada
In The Last Decade
Mohammed Khalilia
21 papers receiving 719 citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 346
- Health Information Management 150
- Molecular Biology 81
- Radiology, Nuclear Medicine and Imaging 70
- Epidemiology 60
Countries citing papers authored by Mohammed Khalilia
This map shows the geographic impact of Mohammed Khalilia'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 Mohammed Khalilia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Khalilia more than expected).
Fields of papers citing papers by Mohammed Khalilia
This network shows the impact of papers produced by Mohammed Khalilia. 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 Mohammed Khalilia. The network helps show where Mohammed Khalilia may publish in the future.
Co-authorship network of co-authors of Mohammed Khalilia
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Khalilia. A scholar is included among the top collaborators of Mohammed Khalilia 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 Mohammed Khalilia. Mohammed Khalilia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 100 | |
| 12 | Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction. | 8 |
| 13 | Identifying Patients at Risk of High Healthcare Utilization. | 5 |
| 14 | Comparing Aging in Place to Home Health Care: Impact of Nurse Care Coordination On Utilization and Costs. | 20 |
| 15 | 2 | |
| 16 | 30 | |
| 17 | 33 | |
| 18 | 1 | |
| 19 | Predicting disease risks from highly imbalanced data using random forestbreakdown → | 490 |
| 20 | 2 |
About Mohammed Khalilia
Mohammed Khalilia is a scholar working on Issues, ethics and legal aspects, Health Information Management and Artificial Intelligence, having authored 22 papers that have together received 743 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Health Information Management (150 citations), Health Informatics (24 citations) and Artificial Intelligence (346 citations). Mohammed Khalilia has collaborated with scholars based in United States, Palestinian Territory and Canada. Frequent co-authors include Mihail Popescu, Sounak Chakraborty, Sanghoon Lee, David Manthey, David A. Gutman, Lee Cooper, Jonathan Beezley, Deepak R. Chittajallu, James C. Bezdek and James M. Keller. Their work appears in journals such as Cancer Research, Pattern Recognition and Journal of the American Medical Informatics Association.
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.