Nalini C. Iyer
- Architecture top 5%
- Engineering Education and Pedagogy 8
- Media Technology top 10%
- Experimental Learning in Engineering 20
- Engineering Education and Curriculum Development 9
- Signal Processing top 10%
- Information Systems top 10%
- User Authentication and Security Systems 5
-
- Mechatronics Education and Applications 6
-
- Robotics and Sensor-Based Localization 6
-
- Cryptographic Implementations and Security 5
-
- IoT and Edge/Fog Computing 5
- Co-authors
- Sandeep PatilG. V. LakhekarS. M. MeenaUjwala PatilA. B. RajuS. RamakrishnaS. R. NirmalaRohit Shetty
- Journals
- SHILAP Revista de lepidopterología (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Nalini C. Iyer
61 papers receiving 267 citations
Peers
Comparison fields: 5 of 54
- Architecture 19
- Media Technology 46
- Signal Processing 50
- Computer Vision and Pattern Recognition 74
- Information Systems 61
Countries citing papers authored by Nalini C. Iyer
This map shows the geographic impact of Nalini C. Iyer'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 Nalini C. Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nalini C. Iyer more than expected).
Fields of papers citing papers by Nalini C. Iyer
This network shows the impact of papers produced by Nalini C. Iyer. 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 Nalini C. Iyer. The network helps show where Nalini C. Iyer may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Nalini C. Iyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 0 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 0 | |
| 15 | Internet of Things (IoT) security | 2016 | 12 |
| 16 | 2016 | 5 | |
| 17 | A Virtual Industry Platform for Course Projects in Automotive Electronics : A Case Study | 2015 | 4 |
| 18 | 2015 | 1 | |
| 19 | 2006 | 21 | |
| 20 | Recent Advances in SAGE II Data Processing: Version 6.2 | 2003 | 1 |
About Nalini C. Iyer
Nalini C. Iyer is a scholar working on Architecture, Media Technology and Hardware and Architecture, having authored 81 papers that have together received 283 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (20 papers), Engineering Education and Curriculum Development (9 papers), Engineering Education and Pedagogy (8 papers), Mechatronics Education and Applications (6 papers), Robotics and Sensor-Based Localization (6 papers), Cryptographic Implementations and Security (5 papers), IoT and Edge/Fog Computing (5 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Architecture (19 citations), Media Technology (46 citations) and Signal Processing (50 citations). Nalini C. Iyer has collaborated with scholars based in India and United States. Frequent co-authors include Sandeep Patil, G. V. Lakhekar, S. M. Meena, Ujwala Patil, A. B. Raju, S. Ramakrishna, S. R. Nirmala, Rohit Shetty, Rajashri Khanai and Ashok Shettar. Their work appears in journals such as SHILAP Revista de lepidopterología, SAE technical papers on CD-ROM/SAE technical paper series and Biomedical Signal Processing and Control.
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.