Mohammed Khalaf
- Artificial Intelligence top 10%
- Global and Planetary Change
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Environmental Engineering
- Co-authors
- Dhiya Al‐JumeilyAbir HussainPaul FergusRobert KeightThar BakerRussell KeenanJamila MustafinaMohamed Alloghani
- Topics
- Artificial Intelligence in Healthcare (4 papers)Imbalanced Data Classification Techniques (4 papers)Hemoglobinopathies and Related Disorders (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- IraqUnited KingdomSaudi Arabia
In The Last Decade
Mohammed Khalaf
34 papers receiving 371 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 107
- Global and Planetary Change 57
- Computer Networks and Communications 52
- Electrical and Electronic Engineering 47
- Environmental Engineering 46
Countries citing papers authored by Mohammed Khalaf
This map shows the geographic impact of Mohammed Khalaf'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 Khalaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Khalaf more than expected).
Fields of papers citing papers by Mohammed Khalaf
This network shows the impact of papers produced by Mohammed Khalaf. 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 Khalaf. The network helps show where Mohammed Khalaf may publish in the future.
Co-authorship network of co-authors of Mohammed Khalaf
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Khalaf. A scholar is included among the top collaborators of Mohammed Khalaf 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 Khalaf. Mohammed Khalaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 32 | |
| 15 | 7 | |
| 16 | 17 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 15 |
About Mohammed Khalaf
Mohammed Khalaf is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 40 papers that have together received 385 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Health Informatics (24 citations), Health Information Management (44 citations) and Artificial Intelligence (107 citations). Mohammed Khalaf has collaborated with scholars based in Iraq, United Kingdom and Saudi Arabia. Frequent co-authors include Dhiya Al‐Jumeily, Abir Hussain, Paul Fergus, Robert Keight, Thar Baker, Russell Keenan, Jamila Mustafina, Mohamed Alloghani, Ahmed J. Aljaaf and Panos Liatsis. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.