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This study visualizes and quantifies extant publications of rural landscape research (RLR) inWeb of Science using CiteSpace for a wide range of research topics, from a multi-angle analysis of the overall research profile, while providing a method and approach for quantitative analysis of massive literature data. First, it presents the number of papers published, subject distribution, author network, the fundamental condition of countries, and research organizations involved in RLR through network analysis. Second, it identifies the high-frequency and high betweenness-centrality values of the basic research content of RLR through keyword co-occurrence analysis and keyword time zones. Finally, it identifies research fronts and trending topics of RLR in the decade from 2009 to 2018 by using co-citation clustering, and noun-term burst detection. The results show that basic research content involves protection, management, biodiversity, and land use. Five clearer research frontier pathways and top 20 research trending topics are extracted to show diversified research branch development. All this provides the reader with a general preliminary grasp of RLR, showing that cooperation and analysis involving multiple disciplines, specialties, and angles will become a dominant trend in the field.

Search for the knowledge within big companies could become pain not only for knowledge seekers, but as well for knowledge managers in case they want a solution, that reflects well actual state of knowledge of a company, allows discovering emerging areas of knowledge and at the same time its maintenance does not require huge amounts of effort. This doctoral thesis starts by a comprehensive analysis of needs of expertise location of current company, description of theoretical backgrounds, related approaches and fundamental directions in expertise location, analyses their advantages and disadvantages and on the ground of this analysis presents a new expertise location technique that tries to avoid disadvantages of current expertise location systems by keeping their advantages. The technique is designed to respect the needs of effective knowledge management within a company, which main assets are their employees, their knowledge reflected in unstructured documents they produce as a part of their daily work. Described knowledge mapping technique analyses document publication history of company members and proposes various measures to asses and characterize their knowledge. The implementation of the knowledge mapping technique allows its direct usage (as an expert search engine) as well as its own evaluation (validity of search engine results). The efficiency of proposed measures on various types of document sources (project directories/versioning repositories/etc.) and within various dimension configurations (current/overall knowledge search) is evaluated by the practical evaluation method introduced within the thesis. The evaluation took place in the environment of a middle-sized software company allowing seeing directly a practical usability of the expertise location technique. The results of the evaluation are presented not only in statistical form, but in a form of suggestions of how to implement the model on various document sources within the company. The results suggest that described knowledge mapping technique is a viable approach in expertise location.