Deepti Iyengar
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Hardware and Architecture top 10%
- Biomedical Engineering
- Co-authors
- Pradeep LallDhananjay PanchagadeSandeep ShantaramJeff SuhlingRobert SankmanNeha PatelZhiguo QianDebendra Mallik
- Topics
- Electronic Packaging and Soldering Technologies (8 papers)Integrated Circuits and Semiconductor Failure Analysis (7 papers)Structural Health Monitoring Techniques (3 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- Journal of Neuroscience MethodsIEEE Transactions on Components and Packaging TechnologiesStrain
- Partner nations
- United States
In The Last Decade
Deepti Iyengar
11 papers receiving 509 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 408
- Cellular and Molecular Neuroscience 77
- Cognitive Neuroscience 73
- Hardware and Architecture 66
- Biomedical Engineering 54
Countries citing papers authored by Deepti Iyengar
This map shows the geographic impact of Deepti Iyengar'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 Deepti Iyengar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Iyengar more than expected).
Fields of papers citing papers by Deepti Iyengar
This network shows the impact of papers produced by Deepti Iyengar. 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 Deepti Iyengar. The network helps show where Deepti Iyengar may publish in the future.
Co-authorship network of co-authors of Deepti Iyengar
This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Iyengar. A scholar is included among the top collaborators of Deepti Iyengar 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 Deepti Iyengar. Deepti Iyengar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 245 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 45 | |
| 6 | Keynote Presentation Feature Extraction and Health Monitoring using Image Correlation for Survivability of Leadfree Packaging under Shock and Vibration | 38 |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 14 | |
| 11 | 82 |
About Deepti Iyengar
Deepti Iyengar is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 11 papers that have together received 532 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (8 papers), Integrated Circuits and Semiconductor Failure Analysis (7 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (66 citations), Electrical and Electronic Engineering (408 citations) and Cellular and Molecular Neuroscience (77 citations). Deepti Iyengar has collaborated with scholars based in United States. Frequent co-authors include Pradeep Lall, Dhananjay Panchagade, Sandeep Shantaram, Jeff Suhling, Robert Sankman, Neha Patel, Zhiguo Qian, Debendra Mallik, Kemal Aygün and Yidnekachew S. Mekonnen. Their work appears in journals such as Journal of Neuroscience Methods, IEEE Transactions on Components and Packaging Technologies and Strain.
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.