The ideas below are not necessarily original (for example, I have been inspired by posts and related discussions as this one and its follow-up), and I have never taken any real action to see whether they could be tweaked and somehow implemented. But I am also sure that ideas that are not shared have no hope to change things. And it is better to have at least some little hope 🙂 So, here we go.
A scientist could be associated with two numbers, similar to Google’s PageRank:
– an AuthorRank
– a ReviewerRank.
These two numbers would reflect the reputation (value?) of the researcher in the two major activities/roles of a scientist: that of producing new and interesting results, and that of judging/checking/validating the results of others. These numbers would be calculated also adopting an algorithm similar to PageRank (see below).
Each scientist should have an account with two corresponding modes: Author and Reviewer. The first would be associated with the real name of the scientist, while the second would allow the scientist to act anonymously. Anyone could open an account, but the Reviewer mode would be activated only upon referral from an official institution (university?) or after having built enough AuthorRank. This would reduce the risk of people polluting the system with bad behavior in Reviewer mode, and of accounts opened just to rig the system.
Each “published” (“arXived”?) paper should be open for discussion (commenting, suggestions, etc.) and for voting. Voting would be given by scientists in their Reviewer (anonymous) mode, with only the ReviewerRank displayed and having an effect (although the Author mode would have an effect indirectly; see later). The vote casted by a Reviewer with higher ReviewerRank should count more than the vote casted by a Reviewer with a low ReviewerRank (in this sense the system is PageRank inspired). In principle one could even keep track separately (besides with the total count) of the votes coming from people with high ReviewerRank (much in the similar way in which in Rottentomatoes one can check the rate of the “top critics”).
The AuthorRank would (should?) influence the ReviewerRank by adding to it. The rationale is that if one is a good author, he/she is probably able to judge properly the works of others, even if he/she does not dedicate much time to reviewing and to building the ReviewerRank with an intense reviewing activity.
The researcher would take part in the discussion on his/her article in his/her Author mode. His AuthorRank would increase thanks to the votes given to the article and potentially to the votes given to the activity of the author in the discussion on the author’s paper (e.g., replying effectively to the comments/questions of the Reviewers). The AuthorRank would also increase with citations of his/her paper by other papers. As in the calculation of PageRank, this increase would depend on the AuthorRank of the authors of the citing paper. The point is to make the quality of the citations at least as important as the number of the citations. The ReviewerRank of a Reviewer would increase thanks to the votes of both the Authors and the other Reviewers for constructive feedback, good comments, helpful suggestions.
There could be tags associated to papers to indicate the fields and subfields of research: one could then even end up with Author and Reviewer ranks in each subfield, depending on the votes associated to both the uploads (papers published) and the discussions in a particular field. This would make more objective saying “this person is a leader in this field but also an expert in this other field”.
As a result of this system, a researcher would be associated with his/her Author and Reviewer ranks, possibly (sub)split by field/subfield. Also, each paper in the list of papers would have an associated score. Committees evaluating a candidate for a job should then be able to get a good sense of the ability of the person in a given field/subfield, as well as of his/her contribution to the community through his/her referee activity.