Mohsen Kaboli
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 5%
- Co-authors
- Gordon ChengRavinder DahiyaYulia SandamirskayaDi FengMohammad Sadegh AbrishamianAdamos ChristouQiang LiSeyed Abdullah Mirtaheri
- Topics
- Tactile and Sensory Interactions (21 papers)Advanced Sensor and Energy Harvesting Materials (13 papers)Robot Manipulation and Learning (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsIEEE Transactions on Antennas and Propagation
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Mohsen Kaboli
42 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Biomedical Engineering 719
- Cognitive Neuroscience 657
- Electrical and Electronic Engineering 390
- Control and Systems Engineering 306
- Aerospace Engineering 272
Countries citing papers authored by Mohsen Kaboli
This map shows the geographic impact of Mohsen Kaboli'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 Mohsen Kaboli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsen Kaboli more than expected).
Fields of papers citing papers by Mohsen Kaboli
This network shows the impact of papers produced by Mohsen Kaboli. 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 Mohsen Kaboli. The network helps show where Mohsen Kaboli may publish in the future.
Co-authorship network of co-authors of Mohsen Kaboli
This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Kaboli. A scholar is included among the top collaborators of Mohsen Kaboli 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 Mohsen Kaboli. Mohsen Kaboli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | Neuro-inspired electronic skin for robotsbreakdown → | 204 |
| 8 | 75 | |
| 9 | 29 | |
| 10 | Simulation-based Evaluation of Automotive Sensor Setups for Environmental Perception in Early Development Stages. | 4 |
| 11 | 10 | |
| 12 | 81 | |
| 13 | 64 | |
| 14 | 4 | |
| 15 | A Review of Transfer LearningAlgorithms | 4 |
| 16 | 21 | |
| 17 | 46 | |
| 18 | 154 | |
| 19 | 46 | |
| 20 | 4 |
About Mohsen Kaboli
Mohsen Kaboli is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Aerospace Engineering, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (21 papers), Advanced Sensor and Energy Harvesting Materials (13 papers) and Robot Manipulation and Learning (10 papers). The work is most often cited by research in Cognitive Neuroscience (657 citations), Human-Computer Interaction (181 citations) and Biomedical Engineering (719 citations). Mohsen Kaboli has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Gordon Cheng, Ravinder Dahiya, Yulia Sandamirskaya, Di Feng, Mohammad Sadegh Abrishamian, Adamos Christou, Qiang Li, Seyed Abdullah Mirtaheri, Fengyuan Liu and Zhe Su. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Antennas and Propagation.
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.