Amol Dnyaneshwar Potgantwar
Amol Dnyaneshwar Potgantwar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Smart Agriculture and AI, Anomaly Detection Techniques and Applications and Network Security and Intrusion Detection.
- World rank
- #6,703,283 of 7,710,434 ranked researchers
- Rank in India
- #224,406 of 280,097
- Works
- 66
- Citations
- 178
- Citations per work
- 2.7
What does Amol Dnyaneshwar Potgantwar research?
Amol Dnyaneshwar Potgantwar's work is mostly in Computer Science (57%), Engineering (8%), Agricultural and Biological Sciences (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 Sciences4364.8%
- Computer Science3857.3%
- Engineering57.5%
- Everything else1928.8%
- Life Sciences46.4%
- 1Computer Vision and Pattern Recognition17% of their works
- 2Artificial Intelligence15% of their works
- 3Computer Networks and Communications14% of their works
- 4Information Systems12% of their works
- 5Electrical and Electronic Engineering8% of their works
- 6Plant Science6% of their works
Research topics
- Smart Agriculture and AI
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Indoor and Outdoor Localization Technologies
- Privacy-Preserving Technologies in Data
- Spectroscopy and Chemometric Analyses
- IoT and Edge/Fog Computing
Which keywords describe Amol Dnyaneshwar Potgantwar's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Anomaly Detection, Wireless Sensor Networks, Data Mining, IoT Security, Healthcare and Internet of Things.
- Near-Infrared Spectroscopy
- Fog Computing
- Federated Learning
- Smart Contracts
- Indoor Localization
- Unsupervised
- Plant Disease Detection
- Network Security
- Internet of Things
- IoT Security
- Wireless Sensor Networks
- Machine Learning
- Deep Learning
- Anomaly Detection
- Data Mining
- Healthcare
- Intrusion Detection
- Outlier Detection
- Smart Farming
- Blockchain
- RF-Based Positioning
- Differential Privacy
- Edge Computing
- Multivariate Calibration
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 24 words, with their numbers
- Deep Learning254 topics
- Machine Learning193 topics
- Anomaly Detection142 topics
- Wireless Sensor Networks132 topics
- Data Mining122 topics
- IoT Security112 topics
- Healthcare102 topics
- Internet of Things102 topics
- Intrusion Detection71 topic
- Network Security71 topic
- Outlier Detection71 topic
- Plant Disease Detection71 topic
- Smart Farming71 topic
- Unsupervised71 topic
- Blockchain61 topic
- Indoor Localization61 topic
- RF-Based Positioning61 topic
- Smart Contracts61 topic
- Differential Privacy51 topic
- Federated Learning51 topic
- Edge Computing41 topic
- Fog Computing41 topic
- Multivariate Calibration41 topic
- Near-Infrared Spectroscopy41 topic
Where does Amol Dnyaneshwar Potgantwar work?
Amol Dnyaneshwar Potgantwar's main affiliation in the publication record is Sandip Foundation, India.
How many publications and citations does Amol Dnyaneshwar Potgantwar have?
OpenAlex counts 66 works and 178 citations for Amol Dnyaneshwar Potgantwar, an h-index of 7, ranking #6,703,283 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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