Sajjad Mozaffari
- Automotive Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Building and Construction top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Mehrdad DianatiOmar Y. Al-JarrahAlexandros MouzakitisPaul JenningsEduardo ArnoldSaber FallahKonstantinos KoufosRoger Woodman
- Topics
- Autonomous Vehicle Technology and Safety (8 papers)Traffic Prediction and Management Techniques (4 papers)Traffic control and management (3 papers)
- Journals
- Construction and Building MaterialsSensorsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- United KingdomIranItaly
In The Last Decade
Sajjad Mozaffari
15 papers receiving 585 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Automotive Engineering 375
- Computer Vision and Pattern Recognition 164
- Building and Construction 162
- Control and Systems Engineering 127
- Artificial Intelligence 121
Countries citing papers authored by Sajjad Mozaffari
This map shows the geographic impact of Sajjad Mozaffari'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 Sajjad Mozaffari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajjad Mozaffari more than expected).
Fields of papers citing papers by Sajjad Mozaffari
This network shows the impact of papers produced by Sajjad Mozaffari. 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 Sajjad Mozaffari. The network helps show where Sajjad Mozaffari may publish in the future.
Co-authorship network of co-authors of Sajjad Mozaffari
This figure shows the co-authorship network connecting the top 25 collaborators of Sajjad Mozaffari. A scholar is included among the top collaborators of Sajjad Mozaffari 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 Sajjad Mozaffari. Sajjad Mozaffari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 52 | |
| 9 | 1 | |
| 10 | 52 | |
| 11 | Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Reviewbreakdown → | 430 |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 2 |
About Sajjad Mozaffari
Sajjad Mozaffari is a scholar working on Automotive Engineering, Building and Construction and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 607 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (8 papers), Traffic Prediction and Management Techniques (4 papers) and Traffic control and management (3 papers). The work is most often cited by research in Automotive Engineering (375 citations), Building and Construction (162 citations) and Safety, Risk, Reliability and Quality (108 citations). Sajjad Mozaffari has collaborated with scholars based in United Kingdom, Iran and Italy. Frequent co-authors include Mehrdad Dianati, Omar Y. Al-Jarrah, Alexandros Mouzakitis, Paul Jennings, Eduardo Arnold, Saber Fallah, Konstantinos Koufos, Roger Woodman, Majid Nili Ahmadabadi and Alireza Tamaddoni‐Nezhad. Their work appears in journals such as Construction and Building Materials, Sensors and IEEE Transactions on Intelligent Transportation Systems.
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.