Parham M. Kebria
- Control and Systems Engineering top 5%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Saeid NahavandiAbbas KhosraviRoohallah AlizadehsaniHamid AbdiSyed Moshfeq SalakenDarius NahavandiPeng ShiMoloud Abdar
- Topics
- Teleoperation and Haptic Systems (13 papers)Robot Manipulation and Learning (7 papers)Robotics and Automated Systems (6 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Parham M. Kebria
45 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Control and Systems Engineering 353
- Artificial Intelligence 319
- Mechanical Engineering 276
- Computer Vision and Pattern Recognition 175
- Biomedical Engineering 146
Countries citing papers authored by Parham M. Kebria
This map shows the geographic impact of Parham M. Kebria'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 Parham M. Kebria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parham M. Kebria more than expected).
Fields of papers citing papers by Parham M. Kebria
This network shows the impact of papers produced by Parham M. Kebria. 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 Parham M. Kebria. The network helps show where Parham M. Kebria may publish in the future.
Co-authorship network of co-authors of Parham M. Kebria
This figure shows the co-authorship network connecting the top 25 collaborators of Parham M. Kebria. A scholar is included among the top collaborators of Parham M. Kebria 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 Parham M. Kebria. Parham M. Kebria 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 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | A Survey of Imitation Learning: Algorithms, Recent Developments, and Challengesbreakdown → | 48 |
| 9 | 7 | |
| 10 | 122 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 97 | |
| 14 | 60 | |
| 15 | 10 | |
| 16 | 177 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 82 | |
| 20 | 18 |
About Parham M. Kebria
Parham M. Kebria is a scholar working on Control and Systems Engineering, Artificial Intelligence and Health Information Management, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (13 papers), Robot Manipulation and Learning (7 papers) and Robotics and Automated Systems (6 papers). The work is most often cited by research in Health Information Management (106 citations), Health Informatics (23 citations) and Control and Systems Engineering (353 citations). Parham M. Kebria has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Saeid Nahavandi, Abbas Khosravi, Roohallah Alizadehsani, Hamid Abdi, Syed Moshfeq Salaken, Darius Nahavandi, Peng Shi, Moloud Abdar, Fahime Khozeimeh and Nizal Sarrafzadegan. Their work appears in journals such as Stroke, IEEE Access and IEEE Transactions on Fuzzy 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.