Journal Ratings and their Consensus Ranking

  • Stefan Theußl (Redner*in)

Aktivität: VortragWissenschaftlicher Vortrag (Science-to-Science)


Establishing a consensus journal ranking is important for having a unique scale for
measuring the outcome of research activities. In this paper we explore the possibility of
deriving consensus rankings by solving consensus optimization problems, characterizing
consensus rankings as suitable complete order relations minimizing the average Kemeny-
Snell distance to the individual rankings. This optimization problem can be expressed as
a binary programming problem which can typically be solved reasonably effciently.
We present consensus rankings of a subset of the Harzing journal quality list derived
using the commercial mathematical programming solver CPLEX. Furthermore, we com-
pared the results to three open source mixed integer linear programming solvers namely
COIN-OR SYMPHONY, the GNU Linear Programming Kit (GLPK) and lp solve.
Zeitraum3 Sept. 20085 Sept. 2008
EreignistitelOperations Research 2008
VeranstaltungstypKeine Angaben