Ashwin Sanjay Lele
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Arijit RaychowdhuryYan FangHaicheng WuGregory DiamosMuya ChangYu-Der ChihSamuel SpetalnickBrian Crafton
- Topics
- Advanced Memory and Neural Computing (23 papers)Ferroelectric and Negative Capacitance Devices (7 papers)Neural dynamics and brain function (5 papers)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Ashwin Sanjay Lele
24 papers receiving 207 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 117
- Artificial Intelligence 49
- Computer Networks and Communications 44
- Hardware and Architecture 35
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Ashwin Sanjay Lele
This map shows the geographic impact of Ashwin Sanjay Lele'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 Ashwin Sanjay Lele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Sanjay Lele more than expected).
Fields of papers citing papers by Ashwin Sanjay Lele
This network shows the impact of papers produced by Ashwin Sanjay Lele. 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 Ashwin Sanjay Lele. The network helps show where Ashwin Sanjay Lele may publish in the future.
Co-authorship network of co-authors of Ashwin Sanjay Lele
This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Sanjay Lele. A scholar is included among the top collaborators of Ashwin Sanjay Lele 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 Ashwin Sanjay Lele. Ashwin Sanjay Lele 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 32 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 24 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 18 | |
| 20 | Efficient Relational Algebra Algorithms and Data Structures for GPU | 27 |
About Ashwin Sanjay Lele
Ashwin Sanjay Lele is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 28 papers that have together received 210 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Hardware and Architecture (35 citations), Signal Processing (23 citations) and Electrical and Electronic Engineering (117 citations). Ashwin Sanjay Lele has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Arijit Raychowdhury, Yan Fang, Haicheng Wu, Gregory Diamos, Muya Chang, Yu-Der Chih, Samuel Spetalnick, Brian Crafton, Jin Wang and Win-San Khwa. Their work appears in journals such as Nano Letters, IEEE Journal of Solid-State Circuits and IEEE Electron Device Letters.
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.