L. J. Muhammad
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Health Information Management top 0.5%
- Information Systems top 5%
- Modeling and Simulation top 5%
- Co-authors
- Sani Sharif UsmanEbrahem A. AlgehyneIrshadullah Asim MohammedSafial Islam AyonMd. Milon IslamChinmay ChakrabortyIbrahim BadiMd. Rabiul Islam
- Topics
- Artificial Intelligence in Healthcare (10 papers)Imbalanced Data Classification Techniques (6 papers)Data Mining Algorithms and Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesIndian Journal of Science and Technology
- Partner nations
- NigeriaSaudi ArabiaFrance
In The Last Decade
L. J. Muhammad
36 papers receiving 920 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 397
- Radiology, Nuclear Medicine and Imaging 340
- Health Information Management 267
- Information Systems 110
- Modeling and Simulation 103
Countries citing papers authored by L. J. Muhammad
This map shows the geographic impact of L. J. Muhammad'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 L. J. Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. J. Muhammad more than expected).
Fields of papers citing papers by L. J. Muhammad
This network shows the impact of papers produced by L. J. Muhammad. 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 L. J. Muhammad. The network helps show where L. J. Muhammad may publish in the future.
Co-authorship network of co-authors of L. J. Muhammad
This figure shows the co-authorship network connecting the top 25 collaborators of L. J. Muhammad. A scholar is included among the top collaborators of L. J. Muhammad 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 L. J. Muhammad. L. J. Muhammad 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 45 | |
| 6 | 15 | |
| 7 | 14 | |
| 8 | 23 | |
| 9 | 31 | |
| 10 | 43 | |
| 11 | 6 | |
| 12 | 55 | |
| 13 | 4 | |
| 14 | 173 | |
| 15 | 156 | |
| 16 | 78 | |
| 17 | 86 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 2 |
About L. J. Muhammad
L. J. Muhammad is a scholar working on Health Information Management, Modeling and Simulation and Information Systems, having authored 38 papers that have together received 956 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (10 papers), Imbalanced Data Classification Techniques (6 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Health Information Management (267 citations), Modeling and Simulation (103 citations) and Health Informatics (23 citations). L. J. Muhammad has collaborated with scholars based in Nigeria, Saudi Arabia and France. Frequent co-authors include Sani Sharif Usman, Ebrahem A. Algehyne, Irshadullah Asim Mohammed, Safial Islam Ayon, Md. Milon Islam, Chinmay Chakraborty, Ibrahim Badi, Md. Rabiul Islam, Sheikh Nooruddin and Saifuddin Mahmud. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Indian Journal of Science and 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.