Bibliometric analysis of thesis studies in the field of disaster management, disaster logistics and humanitarian aid logistics

Disaster events lie on the basis of the problems that have been experienced frequently throughout the history of humanity and that affect the society financially and socially. Disaster hinders the life flow of the society in which it occurs and hinders the progress of the society. What is desired in disasters is that no loss of life and property occurs. In order to reduce the possible effects of disasters, human beings are in a constant search and effort. The most important element of this search and effort is expressed as disaster management activities. After the 1999 Marmara Earthquake in our country, disaster management studies gained an important dynamism. After this period, regulations, laws and plans were prepared continuously, and scientific studies on disasters increased. The best way to reveal the developments in any branch of science is to examine the studies carried out in the field of related science. The examination of the studies carried out is guiding in revealing the trends and missing parts in the relevant field. Therefore, the aim of this research is to determine the bibliometric characteristics of theses by examining the theses written in the field of disaster management, disaster logistics and humanitarian aid logistics in terms of various parameters. The scope of the research consists of 332 theses written in the field of disaster management, disaster logistics and humanitarian aid logistics obtained from the National Thesis Center of YÖK. The data obtained through these theses were digitized using the bibliometric method. As a result of the analysis, the most theses were written on disaster management and the sub-title of the disaster process, the most theses were completed in 2019, most of the theses were in Turkish and master thesis, Istanbul Technical University was the most used method, document analysis and It has been seen that the most preferred analysis method is other numerical analysis and modeling.