Mohammad Reza Faisal
- Artificial Intelligence top 10%
- Molecular Biology
- Cognitive Neuroscience
- Information Systems top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Birendra Nath MallickKenji SatouMamoru KuboMutiani MutianiFavorisen Rosyking LumbanrajaDwi KartiniBedy PurnamaTran Anh Vu
- Topics
- Data Mining and Machine Learning Applications (23 papers)Edcuational Technology Systems (18 papers)Software Engineering Research (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroscienceJournal of Neurochemistry
In The Last Decade
Mohammad Reza Faisal
76 papers receiving 460 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 123
- Molecular Biology 122
- Cognitive Neuroscience 101
- Information Systems 84
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by Mohammad Reza Faisal
This map shows the geographic impact of Mohammad Reza Faisal'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 Mohammad Reza Faisal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Reza Faisal more than expected).
Fields of papers citing papers by Mohammad Reza Faisal
This network shows the impact of papers produced by Mohammad Reza Faisal. 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 Mohammad Reza Faisal. The network helps show where Mohammad Reza Faisal may publish in the future.
Co-authorship network of co-authors of Mohammad Reza Faisal
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Reza Faisal. A scholar is included among the top collaborators of Mohammad Reza Faisal 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 Mohammad Reza Faisal. Mohammad Reza Faisal 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 28 |
About Mohammad Reza Faisal
Mohammad Reza Faisal is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 94 papers that have together received 485 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (23 papers), Edcuational Technology Systems (18 papers) and Software Engineering Research (10 papers). The work is most often cited by research in Cognitive Neuroscience (101 citations), Software (15 citations) and Artificial Intelligence (123 citations). Mohammad Reza Faisal has collaborated with scholars based in Indonesia, Japan and India. Frequent co-authors include Birendra Nath Mallick, Kenji Satou, Mamoru Kubo, Mutiani Mutiani, Favorisen Rosyking Lumbanraja, Dwi Kartini, Bedy Purnama, Tran Anh Vu, Syaharuddin Syaharuddin and Muliadi Muliadi. Their work appears in journals such as SHILAP Revista de lepidopterología, Neuroscience and Journal of Neurochemistry.
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.