Over the past 30 years, we have observed t … Over the past 30 years, we have observed the impact of the</br>ubiquitous availability of the Internet, email, and web-based services on</br>scholarly communication. The preparation of manuscripts as well as the</br>organization of conferences, from submission to peer review to publication, have become considerably easier and efficient. A key question now</br>is what were the measurable effects on scholarly communication in computer science? Of particular interest are the following questions: Did the</br>number of submissions to conferences increase? How did the selection</br>processes change? Is there a proliferation of publications? We shed light</br>on some of these questions by analyzing comprehensive scholarly communication metadata from a large number of computer science conferences</br>of the last 30 years. Our transferable analysis methodology is based on</br>descriptive statistics analysis as well as exploratory data analysis and</br>uses crowd-sourced, semantically represented scholarly communication</br>metadata from OpenResearch.org.munication
metadata from OpenResearch.org. +
In summary, we made the following observat … In summary, we made the following observations:</br>With the number of submissions to the top conferences having tripled on</br>average in the last three decades, acceptance rates are going down slightly.</br>Most of those conferences that are A- or A*-rated today have a long continuity. In summary, we made the following observations:</br>With the number of submissions to the top conferences having tripled on</br>average in the last three decades, acceptance rates are going down slightly.</br>Most of those conferences that are A- or A*-rated today have a long continuity.</br>Geographical distribution is not generally relevant; some good conferences</br>take place in the same location; others cycle between continents.</br>Good conferences always take place around the same time of the year. This</br>might mean that the community got used to them being important events.</br>Some topics have attracted increasing interest recently e.g., database topics</br>thanks to the `big data' trend. This might be confirmed by further investigations into more recent, emerging events in such fields.re recent, emerging events in such fields. +
In further research, we aim to expand the … In further research, we aim to expand the analysis to other fields of science</br>and to smaller events. Also, it is interesting to assess the impact of digitisation</br>with regard to further scholarly communication means, such as journals (which</br>are more important in fields other than computer science), workshops, funding</br>calls and proposal applications as well as awards. Although large parts of our</br>analysis methodology are already automated, we plan to further optimise the</br>process so that analysis can be almost instantly generated from the OpenResearch data basis.enerated from the OpenResearch data basis. +