Here are some of the more obscure or lesser mentioned topics that appear in the bookmarks that were not explicitly called out in the previous breakdown:
* Bioinformatics * analysis of biological data using computing/programming
* Computational chemistry * using computational methods to study chemical systems
* Dynamical systems * studying complex systems that evolve over time
* Automata theory * abstract computational devices/state machines
* Computational finance * using computational models for trading, risk, etc.
* Information theory * quantifying information, entropy, compression
* Computational biology * using computational methods to model biological systems
* Numerical analysis * study of algorithms for continuous math/physics problems
* Computational social science * using computational methods to study social phenomena
* Formal methods * mathematically rigorous techniques for software/hardware verification
* Computational photography * digital image processing techniques
* Computational learning theory * machine learning frameworks and guarantees
* Quantum computing * using quantum systems for computation
* Decision theory * modeling optimal decisions mathematically
* Computational semantics * applying logic/math to study meaning
* Biosemiotics * signs, symbols, meaning in biological systems
* Systems biology * computational models of complex biological systems
* Psychometrics * theory and methods for psychological measurement
* Computational linguistics * applying computer science to study language
So in summary, there are a range of more specialized subfields spanning computer science, math, physics, biology, social science, and cognitive science that appear in the bookmarks as well. Many involve using computational techniques in different domains.