Benjamin Appiah
Benjamin Appiah publishes mostly in Artificial Intelligence, Information Systems and Signal Processing, on topics such as Advanced Malware Detection Techniques, Privacy-Preserving Technologies in Data and Cryptography and Data Security.
- World rank
- #3,086,902 of 7,710,434 ranked researchers
- Rank in Ghana
- #2,897 of 6,000
- Works
- 27
- Citations
- 103
- Citations per work
- 3.8
What does Benjamin Appiah research?
Benjamin Appiah's work is mostly in Computer Science (61%), Medicine (7%), Biochemistry, Genetics and Molecular Biology (4%).
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 Sciences1761.3%
- Computer Science1761.3%
- Everything else828.0%
- Health Sciences26.7%
- Medicine26.7%
- Life Sciences14.0%
- 1Artificial Intelligence39% of their works
- 2Information Systems9% of their works
- 3Signal Processing8% of their works
- 4Radiology, Nuclear Medicine and Imaging7% of their works
- 5Computer Networks and Communications5% of their works
- 6Biophysics4% of their works
Research topics
- Advanced Malware Detection Techniques
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Spectroscopy Techniques in Biomedical and Chemical Research
- Stochastic Gradient Optimization Techniques
- Spectroscopy and Chemometric Analyses
- Anomaly Detection Techniques and Applications
Which keywords describe Benjamin Appiah's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Android Malware, Detection, Adversarial Examples, Differential Privacy and Federated Learning.
- Near-Infrared Spectroscopy
- Anomaly Detection
- Random Projections
- Infrared Spectroscopy
- Identity-Based Encryption
- Federated Learning
- Adversarial Examples
- Android Malware
- Machine Learning
- Deep Learning
- Neural Networks
- Detection
- Differential Privacy
- Homomorphic Encryption
- Robustness
- Raman Spectroscopy
- Stochastic Gradient Descent
- Multivariate Calibration
- Unsupervised
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 Learning164 topics
- Machine Learning163 topics
- Neural Networks103 topics
- Android Malware61 topic
- Detection61 topic
- Adversarial Examples51 topic
- Differential Privacy51 topic
- Federated Learning51 topic
- Homomorphic Encryption51 topic
- Identity-Based Encryption51 topic
- Robustness51 topic
- Infrared Spectroscopy31 topic
- Raman Spectroscopy31 topic
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
- Anomaly Detection21 topic
- Multivariate Calibration21 topic
- Near-Infrared Spectroscopy21 topic
- Unsupervised21 topic
Where does Benjamin Appiah work?
Benjamin Appiah's main affiliation in the publication record is Ho Technical University, Ghana.
How many publications and citations does Benjamin Appiah have?
OpenAlex counts 27 works and 103 citations for Benjamin Appiah, an h-index of 5, ranking #3,086,902 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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