I recently started to survey an algorithm described in a paper. I would like to include some variants of this algorithm in my survey.
Since there are 1342 papers, it is not feasible to read all of them (even just abstracts) within short period of time. I made a heuristic for selecting "interesting" papers
Only read the papers that have more than some number of citations (say K).
which means I will only have to read papers that in turn have more than K "cited by" number.
Even though this heuristic is unfair for newly published papers, I believe it could indeed help me narrow down my scope.
However, the issue is Google Scholar does not have features to support my heuristic (something like advanced search supported by other databases might). So my problem is
- How do I download the search results from my Google Scholar query with all the meta data, including "cited by" information.
- If the previous point is not possible, is there another tool that could help me?
Could someone help me. Thank you in advance!