Aydin Nassehi
- Industrial and Manufacturing Engineering top 0.05%
- Mechanical Engineering top 2%
- Automotive Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Stephen T. NewmanChris SniderBen HicksJason YonDavid JonesVimal DhokiaZicheng ZhuRiliang Liu
- Topics
- Manufacturing Process and Optimization (80 papers)Flexible and Reconfigurable Manufacturing Systems (47 papers)Digital Transformation in Industry (28 papers)
- Cited by
- Industrial and Manufacturing EngineeringAutomotive EngineeringManagement of Technology and Innovation
- Journals
- SensorsIEEE Transactions on Industry ApplicationsJournal of Materials Processing Technology
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Aydin Nassehi
117 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Industrial and Manufacturing Engineering 2.4k
- Mechanical Engineering 1.1k
- Automotive Engineering 506
- Electrical and Electronic Engineering 417
- Control and Systems Engineering 264
Countries citing papers authored by Aydin Nassehi
This map shows the geographic impact of Aydin Nassehi'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 Aydin Nassehi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aydin Nassehi more than expected).
Fields of papers citing papers by Aydin Nassehi
This network shows the impact of papers produced by Aydin Nassehi. 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 Aydin Nassehi. The network helps show where Aydin Nassehi may publish in the future.
Co-authorship network of co-authors of Aydin Nassehi
This figure shows the co-authorship network connecting the top 25 collaborators of Aydin Nassehi. A scholar is included among the top collaborators of Aydin Nassehi 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 Aydin Nassehi. Aydin Nassehi 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 36 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 21 | |
| 17 | 114 | |
| 18 | 55 | |
| 19 | 38 | |
| 20 | CNC Machining of Plastic Layered Parts | 1 |
About Aydin Nassehi
Aydin Nassehi is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Automotive Engineering, having authored 123 papers that have together received 3.8k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (80 papers), Flexible and Reconfigurable Manufacturing Systems (47 papers) and Digital Transformation in Industry (28 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.4k citations), Automotive Engineering (506 citations) and Management of Technology and Innovation (234 citations). Aydin Nassehi has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Stephen T. Newman, Chris Snider, Ben Hicks, Jason Yon, David Jones, Vimal Dhokia, Zicheng Zhu, Riliang Liu, Chengrui Zhang and Sara Newman. Their work appears in journals such as Sensors, IEEE Transactions on Industry Applications and Journal of Materials Processing Technology.
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.