Academic Interests
Vitter is a computer scientist with over 280 book, journal, and conference publications, primarily on the design and mathematical analysis of algorithms dealing with massive data. His Google Scholar h-index is 60 and he is an ISI highly cited researcher. He helped establish the field of external memory algorithms (a.k.a. I/O algorithms and massive data algorithmics) as a rigorous area of active investigation. He has made fundamental contributions in several sub-disciplines:
- External memory algorithms
- Databases
- Compressed data structures and indexing
- Data compression, including:
- Adaptive Huffman coding
- Arithmetic coding
- Image compression
- Video compression
- Hashing and search data structures
- Randomized algorithms
- Sampling and random variate generation
- Prediction and machine learning
- Average-case complexity
Read more about this topic: Jeffrey Vitter
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