Mohammadreza Mostajabi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Media Technology top 10%
- Environmental Engineering
- Co-authors
- Gregory ShakhnarovichPayman YadollahpourJacob SteinhardtSteven BasartDan HendrycksDawn SongMantas Mazeika
- Topics
- Advanced Image and Video Retrieval Techniques (3 papers)Advanced Neural Network Applications (3 papers)Medical Image Segmentation Techniques (3 papers)
- Journals
- Machine Vision and ApplicationsarXiv (Cornell University)
- Partner nations
- IranCroatiaUnited States
In The Last Decade
Mohammadreza Mostajabi
5 papers receiving 350 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 282
- Artificial Intelligence 107
- Aerospace Engineering 36
- Media Technology 28
- Environmental Engineering 19
Countries citing papers authored by Mohammadreza Mostajabi
This map shows the geographic impact of Mohammadreza Mostajabi'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 Mohammadreza Mostajabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammadreza Mostajabi more than expected).
Fields of papers citing papers by Mohammadreza Mostajabi
This network shows the impact of papers produced by Mohammadreza Mostajabi. 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 Mohammadreza Mostajabi. The network helps show where Mohammadreza Mostajabi may publish in the future.
Co-authorship network of co-authors of Mohammadreza Mostajabi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammadreza Mostajabi. A scholar is included among the top collaborators of Mohammadreza Mostajabi 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 Mohammadreza Mostajabi. Mohammadreza Mostajabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | A Benchmark for Anomaly Segmentation. | 23 |
| 3 | Feedforward semantic segmentation with zoom-out featuresbreakdown → | 296 |
| 4 | 1 | |
| 5 | 1 |
About Mohammadreza Mostajabi
Mohammadreza Mostajabi is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering, having authored 5 papers that have together received 361 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (282 citations), Artificial Intelligence (107 citations) and Media Technology (28 citations). Mohammadreza Mostajabi has collaborated with scholars based in Iran, Croatia and United States. Frequent co-authors include Gregory Shakhnarovich, Payman Yadollahpour, Jacob Steinhardt, Steven Basart, Dan Hendrycks, Dawn Song and Mantas Mazeika. Their work appears in journals such as Machine Vision and Applications and arXiv (Cornell University).
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.