Mohammed Khalaf

803 citations

50 papers · 549 · h-index 14

Impact in

Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 2%
- Artificial Intelligence in Healthcare

Papers in

Artificial Intelligence 19
- Imbalanced Data Classification Techniques 5
- Anomaly Detection Techniques and Applications 3
- AI in cancer detection 3
Genetics 7
- Hemoglobinopathies and Related Disorders 7

Co-authors: Dhiya Al‐Jumeily (20 shared papers)Abir Jaafar Hussain (19 shared papers)Paul Fergus (14 shared papers)Robert Keight (8 shared papers)Thar Baker (5 shared papers)Russell Keenan (8 shared papers)Mohamed Ahmed Alloghani (5 shared papers)Jamila Mustafina (5 shared papers)
Journals: IEEE Transactions on Consumer Electronics (2 papers)Big Data Research (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Southwest Jiaotong University (1 paper)SLAS TECHNOLOGY (1 paper)
Partner nations: Iraq United Kingdom Saudi Arabia

In The Last Decade

Mohammed Khalaf

47 papers receiving 525 citations

Peers

Replace Vatsal Patel with:

Vatsal Patel India

Tamanna Siddiqui India

Ta Zhou China

Ruey‐Kai Sheu Taiwan

Mukesh Kumar India

Tony Kam‐Thong Switzerland

Qiong Cai China

Swati V. Shinde India

Tobias Leemann Germany

Mohammed Khalaf relative to Vatsal Patel India Vatsal Patel's profile →

Citations per field

00.5×10×20×33×

Vatsal Patel · 1×

×3.1 28/9

HI

×3.1 59/19

HIM

×1.2 160/131

AI

×14 41/3

GENET

×1.8 53/30

EE

Citations per year

'16

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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

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20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models IEEE Access ·Mohammed Khalaf, Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar, Rajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al‐Jumeily	2020	55
2	Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models Neurocomputing ·Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al‐Jumeily, Paul Fergus, Russell Keenan, Posco Tso	2016	43
3	Implementation of machine learning algorithms to create diabetic patient re-admission profiles BMC Medical Informatics and Decision Making ·Mohamed Ahmed Alloghani, Ahmed J. Aljaaf, Abir Jaffar Hussain, Thar Baker, Jamila Mustafina, Dhiya Al‐Jumeily, Mohammed Khalaf	2019	40
4	A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction Liverpool John Moores University ·Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al‐Jumeily, Thar Baker, Robert Keight, Paulo Lisböa, Paul Fergus, Ala S. Al Kafri	2018	36
5	The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review Communications in computer and information science ·Mohamed Ahmed Alloghani, Dhiya Al‐Jumeily, Ahmed J. Aljaaf, Mohammed Khalaf, Jamila Mustafina, Sin Y. Tan	2020	31
6	Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care Liverpool John Moores University ·Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight	2015	30
7	Advance flood detection and notification system based on sensor technology and machine learning algorithm Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al‐Jumeily, Paul Fergus, Ibrahim Olatunji Idowu	2015	29
8	Recurrent Neural Network Architectures for Analysing Biomedical Data Sets Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al‐Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa M. Salih Abedi, Dhafar Hamed Abd, Ibrahim Olatunji Idowu	2017	22
9	A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting Big Data Research ·Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Asker	2018	19
10	The Probe into Reflection Mobile Radio Propagation Alaa Hamid Mohammed, Ahmed Muhi Shantaf, Mohammed Khalaf	2020	17
11	An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets Lecture notes in computer science ·Mohammed Khalaf, Abir Jaafar Hussain, Omar Alafandi, Dhiya Al‐Jumeily, Mohamed Ahmed Alloghani, Mahmood Abdulrazzaq Alsaadi, Omar A. Dawood, Dhafar Hamed Abd	2019	17
12	Instruction set mapping for performance optimization International Conference on Computer Aided Design ·M. Corazao, Mohammed Khalaf, Lisa M. Guerra, Miodrag Potkonjak, Jan M. Rabaey	1993	17
13	Enhancing Medical Image-Based Diagnostics Through the Application of Convolutional Neural Networks Techniques Haewon Byeon, Rajit Nair, V.J. Mahalakshmi, Mohammed Khalaf, Bharat Kaushik, Mohammad Shabaz	2024	15
14	The utilisation of composite machine learning models for the classification of medical datasets for sickle cell disease Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al‐Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu	2016	15
15	Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease Lecture notes in computer science ·Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al‐Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Alaskar, Andy Shaw, Ibrahim Olatunji Idowu	2016	13
16	Implementation a Various Types of Machine Learning Approaches for Biomedical Datasets based on Sickle Cell Disorder Hamid Falah Dheyab, Osman Nuri Uçan, Mohammed Khalaf, Alaa Hamid Mohammed	2020	12
17	Evaluating student levelling based on machine learning model’s performance Discover Internet of Things ·Shatha Ghareeb, Abir Jaafar Hussain, Dhiya Al‐Jumeily, Wasiq Khan, Rawaa Al-Jumeily, Thar Baker, Ahmed Al Shammaa, Mohammed Khalaf	2022	11
18	Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al‐Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu	2015	9
19	Reactive Routing Algorithm Based Trustworthy with Less Hop Counts for Mobile Ad-Hoc Networks Using Fuzzy Logic System Journal of Southwest Jiaotong University ·Qahtan M. Yas, Mohammed Khalaf	2019	8
20	A Trusted MANET Routing Algorithm Based on Fuzzy Logic Communications in computer and information science ·Qahtan M. Yas, Mohammed Khalaf	2020	8

About Mohammed Khalaf

Mohammed Khalaf is a scholar working on Artificial Intelligence, Genetics, Health Information Management, Information Systems and Computer Networks and Communications, having authored 50 papers that have together received 549 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Imbalanced Data Classification Techniques (5 papers), Artificial Intelligence in Healthcare (4 papers), Anomaly Detection Techniques and Applications (3 papers), Hydrological Forecasting Using AI (3 papers), Flood Risk Assessment and Management (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Health Informatics (28 citations), Health Information Management (59 citations), Artificial Intelligence (160 citations), Genetics (41 citations) and Environmental Engineering (53 citations). Mohammed Khalaf has collaborated with scholars based in Iraq, United Kingdom and Saudi Arabia. Frequent co-authors include Dhiya Al‐Jumeily, Abir Jaafar Hussain, Paul Fergus, Robert Keight, Thar Baker, Russell Keenan, Mohamed Ahmed Alloghani, Jamila Mustafina, Ahmed J. Aljaaf and Hissam Tawfik. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Big Data Research, IEEE Transactions on Intelligent Transportation Systems, Journal of Southwest Jiaotong University and SLAS 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.

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