Srivathsan Krishnamachari
Srivathsan Krishnamachari publishes mostly in Computational Mechanics, Biomedical Engineering and Control and Systems Engineering, on topics such as Muscle activation and electromyography studies, Machine Fault Diagnosis Techniques and Structural Health Monitoring Techniques.
- World rank
- #6,736,333 of 7,710,434 ranked researchers
- Rank in United States
- #1,550,708 of 1,627,098
- Works
- 18
- Citations
- 97
- Citations per work
- 5.4
What does Srivathsan Krishnamachari research?
Srivathsan Krishnamachari's work is mostly in Engineering (43%), Computer Science (6%), Physics and Astronomy (6%).
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 Sciences1055.0%
- Engineering842.8%
- Computer Science16.1%
- Physics and Astronomy16.1%
- Everything else845.0%
- 1Computational Mechanics12% of their works
- 2Biomedical Engineering12% of their works
- 3Control and Systems Engineering10% of their works
- 4Electrical and Electronic Engineering8% of their works
- 5Computer Networks and Communications6% of their works
- 6Atomic and Molecular Physics, and Optics6% of their works
Research topics
- Muscle activation and electromyography studies
- Machine Fault Diagnosis Techniques
- Structural Health Monitoring Techniques
- Advanced Numerical Methods in Computational Mathematics
- Adaptive optics and wavefront sensing
- Astronomy and Astrophysical Research
- Advanced Data Storage Technologies
- Image and Signal Denoising Methods
Which keywords describe Srivathsan Krishnamachari's research?
The keywords of their largest research topics: Deep Learning, Wavelet Transform, Electromyography, Empirical Mode Decomposition, Fault Diagnosis, Muscle Fatigue, Adaptive Optics and Astronomical Instrumentation.
- Sparse Representations
- Image Denoising
- Wireless Sensors
- Vibration-based Damage Identification
- Fluid-Structure Interaction
- Astronomical Instrumentation
- Muscle Fatigue
- Empirical Mode Decomposition
- Wavelet Transform
- Deep Learning
- Electromyography
- Fault Diagnosis
- Adaptive Optics
- Finite Element Methods
- Spectrograph
- Wavefront Sensing
- Distributed Storage
- Network Coding
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Deep Learning62 topics
- Wavelet Transform62 topics
- Electromyography41 topic
- Empirical Mode Decomposition41 topic
- Fault Diagnosis41 topic
- Muscle Fatigue41 topic
- Adaptive Optics31 topic
- Astronomical Instrumentation31 topic
- Finite Element Methods31 topic
- Fluid-Structure Interaction31 topic
- Spectrograph31 topic
- Vibration-based Damage Identification31 topic
- Wavefront Sensing31 topic
- Wireless Sensors31 topic
- Distributed Storage21 topic
- Image Denoising21 topic
- Network Coding21 topic
- Sparse Representations21 topic
Where does Srivathsan Krishnamachari work?
Srivathsan Krishnamachari's main affiliation in the publication record is NeuroMetrix (United States), United States.
How many publications and citations does Srivathsan Krishnamachari have?
OpenAlex counts 18 works and 97 citations for Srivathsan Krishnamachari, an h-index of 6, ranking #6,736,333 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Discussion
Ask a question or share a note about Srivathsan Krishnamachari. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.