We survey the rapidly expanding literature on country-level mitigation pathways using systematic mapping techniques. We build a database of 4691 relevant papers from the Web of Science and Scopus. We analyze their abstracts and metadata using language processing techniques and an innovative topic modeling approach based on two machine-learning models. We find that the country distribution of papers matches countries share of GHG emissions, with very few papers about currently low-emitting countries. Most papers have either 2030 or 2050 as time horizon, the former being more frequent in recent publications. Topic-wise, all areas of mitigation are covered, but major differences across countries reflect both specific circumstances and gaps in the literature, for example around finance.