Pedram Azad
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Biomedical Engineering
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Rüdiger DillmannTamim AsfourRuediger DillmannAleš UdeKai WelkeMartin DoSteffen KnoopAntonio Morales
- Topics
- Robotics and Sensor-Based Localization (9 papers)Robot Manipulation and Learning (7 papers)Human Pose and Action Recognition (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaKI - Künstliche IntelligenzProceedings - IEEE International Conference on Robotics and Automation/Proceedings
In The Last Decade
Pedram Azad
21 papers receiving 710 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 442
- Control and Systems Engineering 421
- Biomedical Engineering 195
- Aerospace Engineering 193
- Artificial Intelligence 109
Countries citing papers authored by Pedram Azad
This map shows the geographic impact of Pedram Azad'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 Pedram Azad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedram Azad more than expected).
Fields of papers citing papers by Pedram Azad
This network shows the impact of papers produced by Pedram Azad. 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 Pedram Azad. The network helps show where Pedram Azad may publish in the future.
Co-authorship network of co-authors of Pedram Azad
This figure shows the co-authorship network connecting the top 25 collaborators of Pedram Azad. A scholar is included among the top collaborators of Pedram Azad 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 Pedram Azad. Pedram Azad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Evaluation Of Fatigue In Yazd Steel Industry Workers And Its Relation with Some Demographic Variables in 2014 | 2 |
| 2 | 34 | |
| 3 | 24 | |
| 4 | 11 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 86 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | Computer Vision : principles and practice | 31 |
| 11 | 54 | |
| 12 | 79 | |
| 13 | 48 | |
| 14 | Computer Vision: Das Praxisbuch | 6 |
| 15 | 28 | |
| 16 | 54 | |
| 17 | 11 | |
| 18 | 22 | |
| 19 | 66 | |
| 20 | 111 |
About Pedram Azad
Pedram Azad is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 21 papers that have together received 750 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Robot Manipulation and Learning (7 papers) and Human Pose and Action Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (442 citations), Control and Systems Engineering (421 citations) and Human-Computer Interaction (100 citations). Pedram Azad has collaborated with scholars based in Germany, Slovenia and Sweden. Frequent co-authors include Rüdiger Dillmann, Tamim Asfour, Ruediger Dillmann, Aleš Ude, Kai Welke, Martin Do, Steffen Knoop, Antonio Morales, David Münch and Beat P. Müller‐Stich. Their work appears in journals such as SHILAP Revista de lepidopterología, KI - Künstliche Intelligenz and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.