This map shows the geographic impact of David C. Rine's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David C. Rine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Rine more than expected).
This network shows the impact of papers produced by David C. Rine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David C. Rine. The network helps show where David C. Rine may publish in the future.
Co-authorship network of co-authors of David C. Rine
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Rine.
A scholar is included among the top collaborators of David C. Rine based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with David C. Rine. David C. Rine is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Seok Won & David C. Rine. (2004). Case Study Methodology Designed Research in Software Engineering Methodology Validation. Software Engineering and Knowledge Engineering. 117–122.22 indexed citations
5.
Lee, Seok Won & David C. Rine. (2004). Missing Requirements and Relationship Discovery through Proxy Viewpoints Model.. 3. 315–342.3 indexed citations
6.
Rine, David C., et al.. (2004). A neural network approach for software defects fix effort estimation.. 72(5). 513–517.10 indexed citations
Aljahdali, Sultan, Alaa Sheta, & David C. Rine. (2002). Predicting Accumulated Faults in Software Testing Process Using Radial Basis Function Network Models.. Computers and Their Applications. 26–29.18 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.