Mohammed Khalaf

34 papers receiving 371 citations

Peers

Mohammed Khalaf
Comparison fields: 5 of 117
  • Health Informatics 24
  • Health Information Management 44
  • Artificial Intelligence 107
  • Environmental Engineering 46
  • Global and Planetary Change 57
Replace George E. Sakr with:
George E. Sakr Lebanon
Vatsal Patel India
Mukesh Kumar India
Pradeep Kumar Singh India
Tobias Leemann Germany
Kathrin Seßler Germany
Martin Pawelczyk Germany
Nicholas Pudjihartono New Zealand
M. A. Elmagzoub Saudi Arabia
Mohammed Khalaf relative to George E. Sakr Lebanon George E. Sakr's profile →
Citations per field
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George E. Sakr · 1×
Citations per year

Countries citing papers authored by Mohammed Khalaf

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Mohammed Khalaf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammed Khalaf Line = papers co-authored together Mohammed Khalaf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 201932
3 201632
4 201830
5 202027
6 201525
7 201525
8 201717
9 202017
10 201816
11 199315
12 202011
13 201611
14 20248
15 20227
16 20197
17 20157
18 20166
19 20156
20 20245

About Mohammed Khalaf

Mohammed Khalaf is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Genetics and Health Information Management, having authored 40 papers that have together received 385 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Imbalanced Data Classification Techniques (4 papers), Flood Risk Assessment and Management (3 papers), Anomaly Detection Techniques and Applications (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Hydrological Forecasting Using AI (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (24 citations), Health Information Management (44 citations), Artificial Intelligence (107 citations), Environmental Engineering (46 citations) and Global and Planetary Change (57 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, Ahmed J. Aljaaf, Jamila Mustafina, Mohamed Alloghani and Panos Liatsis. Their work appears in journals such as Scientific Reports, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Consumer Electronics, Transactions on Emerging Telecommunications Technologies and IEEE Transactions on Applied Superconductivity.

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.

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