A few may know, that google scholar(https://scholar.google.com/) does not offer a feature for arranging the search results based on the number of citations. Several years ago, one developer published a Python code (https://github.com/WittmannF/sort-google-scholar) to handle this. I had been inspired by his work, but I wanted to show the list of... - Source: Hacker News / 2 months ago

To that point, https://scholar.google.com/ is still useful. - Source: Hacker News / 4 months ago

1) find the doi number [1a][1b] 2) find sources that cite the doi number -> google scholar[2][3] 3) filter for 'github' ----- [1a]resolve a doi name : https://dx.doi.org/ [1b]find a doi number : https://answers.lib.iup.edu/faq/31945 [2] : https://scholar.google.com/ [3] : google with "site:http://doi.org/" [4] : finding a doi in document page :... - Source: Hacker News / 6 months ago

Half of those are about science, during my Ph.D., I was told to use scholar.google.com, which works great as far as I can tell. Couple it to sci-hub and you get all the scientific literature you need. Source: 6 months ago

Scholar.google.com exists also which is what you use for studies. Source: 6 months ago

Yes there are some really interesting projects, also in the ML replicability space. One really nice approach is the DAT project [1]. The protocol [2] looks pretty sensible and useful. Unfortunately, the tooling has been in such a state of permanent flux (i.e. Perpetual deprecation) that I've never bothered to invest much time. [1] https://datproject.org/ [1] https://datproject.org/. - Source: Hacker News / over 2 years ago