Anirban Nag
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 2%
- Hardware and Architecture top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Rajeev BalasubramonianAli ShafieeMiao HuR. Stanley WilliamsNaveen MuralimanoharVivek SrikumarJohn Paul StrachanBiplab K. Sikdar
- Topics
- Advanced Memory and Neural Computing (4 papers)Ferroelectric and Negative Capacitance Devices (3 papers)Quantum-Dot Cellular Automata (2 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Computational ScienceACM SIGARCH Computer Architecture News
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Anirban Nag
6 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 1.4k
- Artificial Intelligence 464
- Computer Vision and Pattern Recognition 414
- Hardware and Architecture 261
- Cellular and Molecular Neuroscience 187
Countries citing papers authored by Anirban Nag
This map shows the geographic impact of Anirban Nag'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 Anirban Nag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Nag more than expected).
Fields of papers citing papers by Anirban Nag
This network shows the impact of papers produced by Anirban Nag. 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 Anirban Nag. The network helps show where Anirban Nag may publish in the future.
Co-authorship network of co-authors of Anirban Nag
This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Nag. A scholar is included among the top collaborators of Anirban Nag 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 Anirban Nag. Anirban Nag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | ISAACbreakdown → | 1111 |
| 4 | ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbarsbreakdown → | 483 |
| 5 | 34 | |
| 6 | 10 |
About Anirban Nag
Anirban Nag is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Quantum-Dot Cellular Automata (2 papers). The work is most often cited by research in Hardware and Architecture (261 citations), Electrical and Electronic Engineering (1.4k citations) and Computer Vision and Pattern Recognition (414 citations). Anirban Nag has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Rajeev Balasubramonian, Ali Shafiee, Miao Hu, R. Stanley Williams, Naveen Muralimanohar, Vivek Srikumar, John Paul Strachan, Biplab K. Sikdar, Bibhash Sen and Edouard Giacomin. Their work appears in journals such as Journal of Computational Science and ACM SIGARCH Computer Architecture News.
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.