Shino Iwami

Detection method of emerging leading papers using time transition

To survive worldwide competitions of research and development in the current rapid increase of information, decision-makers and researchers need to be supported to find promising research fields and papers. But finding those fields from an available data in too much heavy flood of information becomes difficult. We aim to develop a methodology supporting to find emerging leading papers with a bibliometric approach. The analyses in this work are about four academic domains using our time transition analysis. In the time transition analysis, after citation networks are constructed, centralities of each paper are calculated and their changes are tracked. Then, the centralities are plotted, and the features of the leading papers are extracted. Based on the features, we proposed ways to detect the leading papers by focusing on in-degree centrality and its transition. This work will contribute to finding the leading paper, and it is useful for decision-makers and researchers to decide the worthy research topic to invest their resources.

Bibliometric methodology to detect collaborative and competitive countries

Analyses by countries are in high demand, because many policy-makers and business-planners think by country. We are providing the system of citation network analysis, and we strengthen analyses by countries in this work. So, user will be able to easily extract countrys keywords and compare text-based similarity and number of international co-authors between countries. These new functions would unveil relations between countries. The purpose of this work is to establish a methodology to detect potential collaborative and competitive countries in science and technology, comparing text-based similarity and number of international co-authors. In this work, we focused on analysis about Japan as an example, and we could pick up several implicit relations which have potential to grow collaborative or competitive relations.

The Automatic Scientometrics Analyzing System

Governmental officers and non-IT researchers start to highly demand voluntary works of analyzing quantitative analyses. Additionally, in the international conferences I attended, some researchers are interested in my researches about big data analyses. On the other hand, data-based tools made by IT researchers and engineers are not diffused well, because it is difficult for others to interpret the results for the reality. Namely, collaborations between non-IT people and IT people sometimes do not go well. The reason is that human resources of ITresearchers or engineers are insufficient. The purpose of this research is to make effective analyzing system for scientometrics and bibliometrics used in innovation policy and technology management. Target users are IT users but not IT developers. I am making the Automatic Scientometrics Analyzing System. Its three parts are (1) data collection, (2) analyses, and (3) result presentation. By function separation and modularization, it becomes easy to add new data sources and new methodologies. The results on my presentation server are published automatically at the public place, Microsoft Azure Web service. This system will enable us to produce objective evidences for decision-making effectively.

International flows of Japanese and world's researchers

As a social issue in Japan, Japanese have fewer movements all over the world due to their single-tracked personnel system. It is difficult for students to study abroad because they get a disadvantage to find a job. Researchers are scared to lose their job once they step away from local routines, even for valid reasons. On the other hand, many Japanese Nobel laureates have studied abroad or stay out of Japan. The following hypothesis is led: highly talented researchers need to have experiences to live abroad. USA is an academic giant, who has large shares of papers in every domain, so it is easy to assume that researcher would be stimulated by staying there. However, where are other academic hubs in the world? The first purpose of this research is to trace movements of highly talented Japanese researchers, comparing with average highly talented researchers. The second purpose is to identify academic hubs for Japanese and World. The methodology of this research is to trace movements of top researchers on the map. Their locations are retrieved from affiliation address on Web of Science. These analyses will prove how frequently international research exchanges need, and they provide candidate locations to study abroad.

Comparison of indicators to detect emerging researches using time transition in quasicrystals

To survive worldwide competitions of research and development, decision-makers and researchers must detect the cutting-edge areas at the earlier stage. Now that computers enable us to process a large amount of data efficiently, bibliometric analysis can support decision-makers and researchers to invest into proper researches. We aim to find leading papers of the next generation with bibliometric approach. We analyzed time transitions of indicators, and found that in-degree centrality, communicability centrality and PageRank are useful as the indicators to detect emerging researches.