Mohammad Shafiei
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 2%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Computational Mechanics top 10%
- Co-authors
- Christian TheobaltHans‐Peter SeidelHelge RhodinDan CasasDushyant MehtaOleksandr SotnychenkoSrinath SridharWeipeng Xu
- Topics
- Advanced Vision and Imaging (4 papers)Human Motion and Animation (2 papers)Parasitic infections in humans and animals (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsACM Transactions on Graphics
- Partner nations
- IranGermanyUnited States
In The Last Decade
Mohammad Shafiei
7 papers receiving 919 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 806
- Human-Computer Interaction 186
- Control and Systems Engineering 170
- Biomedical Engineering 139
- Computational Mechanics 136
Countries citing papers authored by Mohammad Shafiei
This map shows the geographic impact of Mohammad Shafiei'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 Shafiei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shafiei more than expected).
Fields of papers citing papers by Mohammad Shafiei
This network shows the impact of papers produced by Mohammad Shafiei. 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 Shafiei. The network helps show where Mohammad Shafiei may publish in the future.
Co-authorship network of co-authors of Mohammad Shafiei
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shafiei. A scholar is included among the top collaborators of Mohammad Shafiei 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 Shafiei. Mohammad Shafiei 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 | 13 | |
| 5 | 149 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | VNectbreakdown → | 690 |
| 9 | Educational intervention on the health action model on Employee Safety Behaviors in Tabas coal mine | 2 |
| 10 | 96 | |
| 11 | MRL Team Description 2010 Standard Platform League | 2 |
About Mohammad Shafiei
Mohammad Shafiei is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Philosophy, having authored 11 papers that have together received 956 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Human Motion and Animation (2 papers) and Parasitic infections in humans and animals (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (806 citations), Computer Graphics and Computer-Aided Design (127 citations) and Human-Computer Interaction (186 citations). Mohammad Shafiei has collaborated with scholars based in Iran, Germany and United States. Frequent co-authors include Christian Theobalt, Hans‐Peter Seidel, Helge Rhodin, Dan Casas, Dushyant Mehta, Oleksandr Sotnychenko, Srinath Sridhar, Weipeng Xu, Kalyan Sunkavalli and Ravi Ramamoorthi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Transactions on Graphics.
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.