Muhammad Amith
- Artificial Intelligence top 10%
- Molecular Biology
- Sociology and Political Science
- Health top 10%
- General Health Professions
- Co-authors
- Cui TaoJulie A. BoomRachel CunninghamZhe HeKayo FujimotoJiang BianJuan Antonio Lossio-VenturaKirk Roberts
- Topics
- Biomedical Text Mining and Ontologies (16 papers)Semantic Web and Ontologies (10 papers)Vaccine Coverage and Hesitancy (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsJournal of Medical Internet Research
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Muhammad Amith
46 papers receiving 450 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 193
- Molecular Biology 132
- Sociology and Political Science 105
- Health 79
- General Health Professions 66
Countries citing papers authored by Muhammad Amith
This map shows the geographic impact of Muhammad Amith'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 Muhammad Amith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Amith more than expected).
Fields of papers citing papers by Muhammad Amith
This network shows the impact of papers produced by Muhammad Amith. 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 Muhammad Amith. The network helps show where Muhammad Amith may publish in the future.
Co-authorship network of co-authors of Muhammad Amith
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Amith. A scholar is included among the top collaborators of Muhammad Amith 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 Muhammad Amith. Muhammad Amith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 20 | |
| 7 | 53 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 28 | |
| 12 | 18 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 71 | |
| 16 | 1 | |
| 17 | 15 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | A web application towards semiotic-based evaluation of biomedical ontologies | 7 |
About Muhammad Amith
Muhammad Amith is a scholar working on Health, Artificial Intelligence and Communication, having authored 48 papers that have together received 461 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (10 papers) and Vaccine Coverage and Hesitancy (9 papers). The work is most often cited by research in Health Informatics (16 citations), Health (79 citations) and Artificial Intelligence (193 citations). Muhammad Amith has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Cui Tao, Julie A. Boom, Rachel Cunningham, Zhe He, Kayo Fujimoto, Jiang Bian, Juan Antonio Lossio-Ventura, Kirk Roberts, Lu Tang and Lara S. Savas. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Journal of Medical Internet Research.
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.