Muhammad Akhtar Munir
Muhammad Akhtar Munir publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Adversarial Robustness in Machine Learning.
- World rank
- #1,364,727 of 7,710,434 ranked researchers
- Rank in Pakistan
- #4,258 of 32,975
- Works
- 35
- Citations
- 217
- Citations per work
- 6.2
What does Muhammad Akhtar Munir research?
Muhammad Akhtar Munir's work is mostly in Computer Science (70%), Social Sciences (7%), Earth and Planetary Sciences (2%).
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 Sciences2673.7%
- Computer Science2469.9%
- Earth and Planetary Sciences11.9%
- Engineering11.9%
- Everything else719.5%
- Social Sciences26.8%
- Social Sciences26.8%
- 1Artificial Intelligence38% of their works
- 2Computer Vision and Pattern Recognition25% of their works
- 3Computer Networks and Communications7% of their works
- 4Geography, Planning and Development7% of their works
- 5Biomedical Engineering2% of their works
- 6Atmospheric Science2% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Adversarial Robustness in Machine Learning
- Multimodal Machine Learning Applications
- Geographic Information Systems Studies
- Anomaly Detection Techniques and Applications
- Constraint Satisfaction and Optimization
- Semantic Web and Ontologies
Which keywords describe Muhammad Akhtar Munir's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Domain Adaptation, Image Recognition, Transfer Learning, Semantic Web and Adversarial Examples.
- Linked Data
- Distributed Algorithms
- Anomaly Detection
- Geospatial Crowdsourcing
- Image Captioning
- Adversarial Examples
- Transfer Learning
- Domain Adaptation
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Image Recognition
- Semantic Web
- Robustness
- Visual Question Answering
- Volunteered Geographic Information
- Constraint Optimization
- Unsupervised
- Ontology
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 19 words, with their numbers
- Deep Learning374 topics
- Neural Networks233 topics
- Convolutional Neural Networks141 topic
- Domain Adaptation141 topic
- Image Recognition141 topic
- Transfer Learning141 topic
- Semantic Web102 topics
- Adversarial Examples91 topic
- Robustness91 topic
- Image Captioning81 topic
- Visual Question Answering81 topic
- Geospatial Crowdsourcing71 topic
- Volunteered Geographic Information71 topic
- Anomaly Detection61 topic
- Constraint Optimization61 topic
- Distributed Algorithms61 topic
- Unsupervised61 topic
- Linked Data31 topic
- Ontology31 topic
Where does Muhammad Akhtar Munir work?
Muhammad Akhtar Munir's main affiliation in the publication record is Information Technology University, Pakistan.
How many publications and citations does Muhammad Akhtar Munir have?
OpenAlex counts 35 works and 217 citations for Muhammad Akhtar Munir, an h-index of 8, ranking #1,364,727 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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