Morteza Biglari-Abhari
- Hardware and Architecture top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Zoran SalčićKean C. AwAndrew McDaidAndrew ChenKevin I‐Kai WangMuhammad NadeemTim GiffneyPartha S. Roop
- Topics
- Embedded Systems Design Techniques (16 papers)Real-Time Systems Scheduling (15 papers)Parallel Computing and Optimization Techniques (14 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsSensors and Actuators A PhysicalComputers & Electrical Engineering
- Partner nations
- New ZealandAustraliaFrance
In The Last Decade
Morteza Biglari-Abhari
49 papers receiving 327 citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 107
- Biomedical Engineering 96
- Computer Vision and Pattern Recognition 74
- Electrical and Electronic Engineering 68
- Computer Networks and Communications 53
Countries citing papers authored by Morteza Biglari-Abhari
This map shows the geographic impact of Morteza Biglari-Abhari'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 Morteza Biglari-Abhari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morteza Biglari-Abhari more than expected).
Fields of papers citing papers by Morteza Biglari-Abhari
This network shows the impact of papers produced by Morteza Biglari-Abhari. 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 Morteza Biglari-Abhari. The network helps show where Morteza Biglari-Abhari may publish in the future.
Co-authorship network of co-authors of Morteza Biglari-Abhari
This figure shows the co-authorship network connecting the top 25 collaborators of Morteza Biglari-Abhari. A scholar is included among the top collaborators of Morteza Biglari-Abhari 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 Morteza Biglari-Abhari. Morteza Biglari-Abhari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 3 |
About Morteza Biglari-Abhari
Morteza Biglari-Abhari is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 51 papers that have together received 346 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (16 papers), Real-Time Systems Scheduling (15 papers) and Parallel Computing and Optimization Techniques (14 papers). The work is most often cited by research in Hardware and Architecture (107 citations), Computer Vision and Pattern Recognition (74 citations) and Rehabilitation (20 citations). Morteza Biglari-Abhari has collaborated with scholars based in New Zealand, Australia and France. Frequent co-authors include Zoran Salčić, Kean C. Aw, Andrew McDaid, Andrew Chen, Kevin I‐Kai Wang, Muhammad Nadeem, Tim Giffney, Partha S. Roop, Abbas Bigdeli and Benjamin Tan. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Sensors and Actuators A Physical and Computers & Electrical Engineering.
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.