Rathinakumar Appuswamy
- Electrical and Electronic Engineering top 1%
- Artificial Intelligence top 1%
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Dharmendra S. ModhaJohn V. ArthurPaul MerollaSteven K. EsserMyron FlicknerBrian TabaAndrew S. CassidyArnon Amir
- Topics
- Cooperative Communication and Network Coding (7 papers)Advanced Memory and Neural Computing (3 papers)Neural dynamics and brain function (2 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- ScienceProceedings of the National Academy of SciencesIEEE Transactions on Information Theory
- Partner nations
- United StatesIndia
In The Last Decade
Rathinakumar Appuswamy
13 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Electrical and Electronic Engineering 3.3k
- Artificial Intelligence 1.2k
- Cellular and Molecular Neuroscience 1.2k
- Cognitive Neuroscience 1.1k
- Computer Vision and Pattern Recognition 239
Countries citing papers authored by Rathinakumar Appuswamy
This map shows the geographic impact of Rathinakumar Appuswamy'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 Rathinakumar Appuswamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rathinakumar Appuswamy more than expected).
Fields of papers citing papers by Rathinakumar Appuswamy
This network shows the impact of papers produced by Rathinakumar Appuswamy. 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 Rathinakumar Appuswamy. The network helps show where Rathinakumar Appuswamy may publish in the future.
Co-authorship network of co-authors of Rathinakumar Appuswamy
This figure shows the co-authorship network connecting the top 25 collaborators of Rathinakumar Appuswamy. A scholar is included among the top collaborators of Rathinakumar Appuswamy 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 Rathinakumar Appuswamy. Rathinakumar Appuswamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | LEARNED STEP SIZE QUANTIZATION | 38 |
| 2 | 21 | |
| 3 | Convolutional networks for fast, energy-efficient neuromorphic computingbreakdown → | 482 |
| 4 | Backpropagation for energy-efficient neuromorphic computing | 170 |
| 5 | A million spiking-neuron integrated circuit with a scalable communication network and interfacebreakdown → | 2780 |
| 6 | 26 | |
| 7 | Network coding for computing: Linear codes | 2 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Network Coding for Computing Part I : Cut-Set Bounds | 4 |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 72 |
About Rathinakumar Appuswamy
Rathinakumar Appuswamy is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 13 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (7 papers), Advanced Memory and Neural Computing (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cognitive Neuroscience (1.1k citations) and Electrical and Electronic Engineering (3.3k citations). Rathinakumar Appuswamy has collaborated with scholars based in United States and India. Frequent co-authors include Dharmendra S. Modha, John V. Arthur, Paul Merolla, Steven K. Esser, Myron Flickner, Brian Taba, Andrew S. Cassidy, Arnon Amir, Jun Sawada and Filipp Akopyan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and IEEE Transactions on Information Theory.
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.