Classic papers by thinkers ranging from from Aristotle and Leibniz to Norbert Wiener and Gordon Moore that chart the evolution of computer science. Ideas That Created the Future collects forty-six classic papers in computer science that map the evolution of the field. It covers all aspects of computer science: theory and practice, architectures and algorithms, and logic and software systems, with an emphasis on the period of 1936-1980 but also including important early work. Offering papers by thinkers ranging from Aristotle and Leibniz to Alan Turing and Nobert Wiener, the book documents the discoveries and inventions that created today's digital world. Each paper is accompanied by a brief essay by Harry Lewis, the volume's editor, offering historical and intellectual context.
[1]: https://mitpress.mit.edu/9780262045308/ideas-that-created-th...
- Ideas That Created the Future https://www.amazon.com/Ideas-That-Created-Future-Computer/dp...
- "Classics of CS" https://canvas.harvard.edu/courses/34992/assignments/syllabu...
1. Ideas That Created The Future[1]. It's a collection of fiftyish classic CS papers, with some commentary.
2. Wikipedia's list[2].
3. Test of Time awards[3]. These are papers that have been around for a while and people still think are important.
4. Best paper awards[4]. Less useful than ToT as not every best paper is actually that good or important, and sometimes the award committees can't see past names or brands for novel research.
5. Survey Journals[5]. Students often get their research started with a literature review and some go the extra step to collect dozens of papers into a summary paper. I subscribe to the RSS feed for that one, and usually one or two are interesting enough to read.
6. Citation mining -- As you read all these, consider their citation list as potential new reading material, or if an old paper leaves you wanting more, use Google Scholar to find a papers that cited what you just read.
[1]: https://www.amazon.com/Ideas-That-Created-Future-Computer/dp...
[2]: https://en.wikipedia.org/wiki/List_of_important_publications...
[3]: https://www.usenix.org/conferences/test-of-time-awards
One thing I learned is that the idea of a computational neural network predates actual working general purpose computers by a few years, and is actually cited in the construction of computers as an inspiration.
https://direct.mit.edu/books/edited-volume/5003/Ideas-That-C...
