Mohammad Sajjad Ghaemi
- Co-authors
- Reza EbrahimpourSaeed MasoudniaMohammad Reza YousefiMartin TrépanierVahid Partovi NiaBruno AgardMorgan CraigJane M. Heffernan
- Topics
- Computational Drug Discovery Methods (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Machine Learning in Materials Science (3 papers)
- Journals
- Scientific ReportsAmerican Journal of Obstetrics and GynecologyInternational Journal of Forecasting
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Mohammad Sajjad Ghaemi
15 papers receiving 307 citations
Peers
Comparison fields: 5 of 84
- Immunology 64
- Obstetrics and Gynecology 63
- Epidemiology 51
- Molecular Biology 47
- Infectious Diseases 46
Countries citing papers authored by Mohammad Sajjad Ghaemi
This map shows the geographic impact of Mohammad Sajjad Ghaemi'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 Sajjad Ghaemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Sajjad Ghaemi more than expected).
Fields of papers citing papers by Mohammad Sajjad Ghaemi
This network shows the impact of papers produced by Mohammad Sajjad Ghaemi. 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 Sajjad Ghaemi. The network helps show where Mohammad Sajjad Ghaemi may publish in the future.
Co-authorship network of co-authors of Mohammad Sajjad Ghaemi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Sajjad Ghaemi. A scholar is included among the top collaborators of Mohammad Sajjad Ghaemi 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 Sajjad Ghaemi. Mohammad Sajjad Ghaemi 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 | 9 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 21 | |
| 10 | 0 | |
| 11 | 54 | |
| 12 | Forestogram: A visualization framework for hierarchical biclustering | 1 |
| 13 | 68 | |
| 14 | Forestogram: Biclustering Visualization Framework with Applications in Public Transport and Bioinformatics | 1 |
| 15 | 32 | |
| 16 | 8 | |
| 17 | 53 |
About Mohammad Sajjad Ghaemi
Mohammad Sajjad Ghaemi is a scholar working on Transportation, Obstetrics and Gynecology and Computational Theory and Mathematics, having authored 17 papers that have together received 314 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Obstetrics and Gynecology (63 citations), Transportation (38 citations) and Modeling and Simulation (23 citations). Mohammad Sajjad Ghaemi has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Reza Ebrahimpour, Saeed Masoudnia, Mohammad Reza Yousefi, Martin Trépanier, Vahid Partovi Nia, Bruno Agard, Morgan Craig, Jane M. Heffernan, Gary M. Shaw and Martin S. Angst. Their work appears in journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and International Journal of Forecasting.
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.