Reshma Sreejith
Reshma Sreejith publishes mostly in Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Information Systems, on topics such as Phonocardiography and Auscultation Techniques, Advanced Steganography and Watermarking Techniques and Chaos-based Image/Signal Encryption.
- World rank
- #3,176,763 of 7,710,434 ranked researchers
- Rank in India
- #66,927 of 280,097
- Works
- 27
- Citations
- 141
- Citations per work
- 5.2
What does Reshma Sreejith research?
Reshma Sreejith's work is mostly in Computer Science (36%), Medicine (21%), Business, Management and Accounting (10%).
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 Sciences1035.6%
- Computer Science1035.6%
- Everything else934.2%
- Health Sciences620.6%
- Medicine620.6%
- Social Sciences39.6%
- 1Computer Vision and Pattern Recognition18% of their works
- 2Pulmonary and Respiratory Medicine15% of their works
- 3Information Systems10% of their works
- 4Marketing10% of their works
- 5Artificial Intelligence8% of their works
- 6Radiology, Nuclear Medicine and Imaging6% of their works
Research topics
- Phonocardiography and Auscultation Techniques
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Respiratory and Cough-Related Research
- COVID-19 diagnosis using AI
- Digital Marketing and Social Media
- Privacy-Preserving Technologies in Data
- Consumer Behavior in Brand Consumption and Identification
Which keywords describe Reshma Sreejith's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Heart Sound, Lung Sound, Chaos, Chronic Cough, Cough Reflex Sensitivity and COVID-19.
- Federated Learning
- Consumer Behavior
- Steganography
- Reversible Data Embedding
- Image Encryption
- Cough Reflex Sensitivity
- Chaos
- Lung Sound
- Machine Learning
- Deep Learning
- Heart Sound
- COVID-19
- Chronic Cough
- Electronic Word-of-Mouth
- Medical Imaging
- Social Media
- Brand Trust
- Differential Privacy
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 Learning143 topics
- Machine Learning92 topics
- Heart Sound61 topic
- Lung Sound61 topic
- COVID-1941 topic
- Chaos41 topic
- Chronic Cough41 topic
- Cough Reflex Sensitivity41 topic
- Electronic Word-of-Mouth41 topic
- Image Encryption41 topic
- Medical Imaging41 topic
- Reversible Data Embedding41 topic
- Social Media41 topic
- Steganography41 topic
- Brand Trust31 topic
- Consumer Behavior31 topic
- Differential Privacy31 topic
- Federated Learning31 topic
Where does Reshma Sreejith work?
Reshma Sreejith's main affiliation in the publication record is Rajagiri Hospital, India.
How many publications and citations does Reshma Sreejith have?
OpenAlex counts 27 works and 141 citations for Reshma Sreejith, an h-index of 8, ranking #3,176,763 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.
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