Rajkumar Kubendran
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 10%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Gert CauwenberghsH.‐S. Philip WongWeier WanSiddharth JoshiHuaqiang WuBin GaoPriyanka RainaStephen Deiss
- Topics
- Advanced Memory and Neural Computing (13 papers)CCD and CMOS Imaging Sensors (7 papers)Neural dynamics and brain function (5 papers)
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceHardware and Architecture
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Rajkumar Kubendran
24 papers receiving 786 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Electrical and Electronic Engineering 723
- Cellular and Molecular Neuroscience 212
- Artificial Intelligence 146
- Cognitive Neuroscience 101
- Biomedical Engineering 73
Countries citing papers authored by Rajkumar Kubendran
This map shows the geographic impact of Rajkumar Kubendran'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 Rajkumar Kubendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajkumar Kubendran more than expected).
Fields of papers citing papers by Rajkumar Kubendran
This network shows the impact of papers produced by Rajkumar Kubendran. 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 Rajkumar Kubendran. The network helps show where Rajkumar Kubendran may publish in the future.
Co-authorship network of co-authors of Rajkumar Kubendran
This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar Kubendran. A scholar is included among the top collaborators of Rajkumar Kubendran 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 Rajkumar Kubendran. Rajkumar Kubendran 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | A compute-in-memory chip based on resistive random-access memorybreakdown → | 511 |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 106 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 30 | |
| 16 | 45 | |
| 17 | 11 | |
| 18 | 17 | |
| 19 | 25 | |
| 20 | 2 |
About Rajkumar Kubendran
Rajkumar Kubendran is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 808 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), CCD and CMOS Imaging Sensors (7 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (723 citations), Cellular and Molecular Neuroscience (212 citations) and Hardware and Architecture (38 citations). Rajkumar Kubendran has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Gert Cauwenberghs, H.‐S. Philip Wong, Weier Wan, Siddharth Joshi, Huaqiang Wu, Bin Gao, Priyanka Raina, Stephen Deiss, Sukru Burc Eryilmaz and Wenqiang Zhang. Their work appears in journals such as Nature, Scientific Reports and Frontiers in Neuroscience.
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.