Niladrish Chatterjee
Niladrish Chatterjee publishes mostly in Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Advanced Memory and Neural Computing.
- World rank
- #264,874 of 7,710,434 ranked researchers
- Rank in United States
- #96,975 of 1,627,098
- Works
- 40
- Citations
- 2.1k
- Citations per work
- 53.0
What does Niladrish Chatterjee research?
Niladrish Chatterjee's work is mostly in Computer Science (70%), Engineering (28%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences3998.2%
- Computer Science2870.0%
- Engineering1128.2%
- Everything else11.8%
- 1Computer Networks and Communications33% of their works
- 2Electrical and Electronic Engineering28% of their works
- 3Hardware and Architecture26% of their works
- 4Computer Vision and Pattern Recognition5% of their works
- 5Information Systems5% of their works
- 6Artificial Intelligence1% of their works
Research topics
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Interconnection Networks and Systems
- Low-power high-performance VLSI design
- Cloud Computing and Resource Management
- Advanced Neural Network Applications
Which keywords describe Niladrish Chatterjee's research?
The keywords of their largest research topics: Parallel Computing, GPU Computing, Performance Optimization, Distributed Storage, Network Coding, Neuromorphic Computing, Energy Efficiency and Memristor.
- Convolutional Neural Networks
- Big Data
- Low-Power
- Interconnection Networks
- Ferroelectricity
- Memristor
- Neuromorphic Computing
- Distributed Storage
- GPU Computing
- Parallel Computing
- Performance Optimization
- Network Coding
- Energy Efficiency
- Resistive Switching
- Hafnium Oxide
- Networks on Chip
- VLSI Circuits
- Cloud Computing
- Deep Learning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Parallel Computing562 topics
- GPU Computing291 topic
- Performance Optimization291 topic
- Distributed Storage271 topic
- Network Coding271 topic
- Neuromorphic Computing202 topics
- Energy Efficiency132 topics
- Memristor111 topic
- Resistive Switching111 topic
- Ferroelectricity91 topic
- Hafnium Oxide91 topic
- Interconnection Networks81 topic
- Networks on Chip81 topic
- Low-Power71 topic
- VLSI Circuits71 topic
- Big Data61 topic
- Cloud Computing61 topic
- Convolutional Neural Networks41 topic
- Deep Learning41 topic
Where does Niladrish Chatterjee work?
Niladrish Chatterjee's main affiliation in the publication record is Nvidia (United States), United States.
How many publications and citations does Niladrish Chatterjee have?
OpenAlex counts 40 works and 2,119 citations for Niladrish Chatterjee, an h-index of 22, ranking #264,874 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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