
The purpose of this paper is to explore the concepts and provide examples of data structures, data types and data abstractions The term data structures has been around for about 30 years; the term data type has been around for about 20 years; and the term data abstraction is a recent one and has been used for the last five years. All these terms are used widely today, and sometimes even interchangeably. After exploring the three terms, the similarities and differences between these will be pointed out and a unified way of looking at the three concepts will be presented. The clarity and precision in the presentation will be achieved by providing pictures wherever helpful, rather than through complex notations to make the reading light and easy. There are a total of 27 diagrams in the paper. The point is to get the key ideas across as easily as possible.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
