This study uses the article content and metadata of four important computer networking periodicals-IEEE Communications Surveys and Tutorials (COMST), IEEE/ACM Transactions on Networking (TON), ACM Special Interest Group on Data Communications (SIGCOMM), and IEEE International Conference on Computer Communications (INFOCOM)-obtained using ACM, IEEE Xplore, Scopus and CrossRef, for an 18-year period (2000-2017) to address important bibliometrics questions. All of the venues are prestigious, yet they publish quite different research. The first two of these periodicals (COMST and TON) are highly reputed journals of the fields while SIGCOMM and INFOCOM are considered top conferences of the field. SIGCOMM and INFOCOM publish new original research. TON has a similar genre and publishes new original research as well as the extended versions of different research published in the conferences such as SIGCOMM and INFOCOM, while COMST publishes surveys and reviews (which not only summarize previous works but highlight future research opportunities). In this study, we aim to track the co-evolution of trends in the COMST and TON journals and compare them to the publication trends in INFOCOM and SIGCOMM. Our analyses of the computer networking literature include: (a) metadata analysis; (b) content-based analysis; and (c) citation analysis. In addition, we identify the significant trends and the most influential authors, institutes and countries, based on the publication count as well as article citations. Through this study, we are proposing a methodology and framework for performing a comprehensive bibliometric analysis on computer networking research. To the best of our knowledge, no such study has been undertaken in computer networking until now.
翻译:本研究利用四个重要的计算机网络期刊 -- -- IEEEE通信调查与教学材料(COMST)、IEEE/ACM网络交易(TON)、ACM数据通信特别利益小组(SIGCOMM)和IEEE国际计算机通信会议(INFOCOM)的文章内容和元数据,利用ACM、IEEE Xplore、Scopus和CrossRef, 为期18年(2000-2017年),处理重要的双曲线测量问题。所有网站都声名狼藉,但都出版相当不同的研究。前两期期刊(COMST和TON)是各域的重现期刊,而SIGCOMM和INFOCOM被视为外地的高层会议。 SIGCOM和INFOCOM国际会议发表了新的原始研究。 TO有类似的主题,并公布了新的原始研究版本,例如SIGM和INFOCOM等会议发表的不同研究的扩展版本(SIGM, 计算,我们通过我们的研究,不仅总结了先前的著作,而且突出未来的研究内容)。 在这项研究中,我们用SIGOIRC的分析中,我们的目的是追踪S-IG的网络分析。