It is popular nowadays to bring techniques from bibliometrics and scientometrics into the world of digital libraries to analyze the collaboration patterns and explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author's scientific career and provide an in-depth exploration of some of the computer science communities. We compare them in terms of productivity, population stability and collaboration trends.Besides we use these features to compare the sets of topranked conferences with their lower ranked counterparts.
Schloss Dagstuhl LZI（达格施图尔城堡莱布尼茨计算机科学中心）；dblp computer science bibliography（dblp计算机科学文献库）
Identifying (and fixing) homonymous and synonymous author profiles is one of the major tasks of curating personalized bibliographic metadata repositories like the dblp computer science bibliography. In this paper, we present and evaluate a machine learning approach to identify homonymous author bibliographies using a simple multilayer perceptron setup. We train our model on a novel gold-standard data set derived from the past years of active, manual curation at the dblp computer science bibliography.
If someone is looking for a certain publication in the field of computer science, the searching person is likely to use the DBLP to find the desired publication. The DBLP data set is continuously extended with new publications, or rather their metadata, for example the names of involved authors, the title and the publication date. While the size of the data set is already remarkable, specific areas can still be improved. The DBLP offers a huge collection of English papers because most papers concerning computer science are published in English. Nevertheless, there are official publications in …
Fakultät für Elektrotechnik, Informationstechnik und Medientechnik（电气、信息技术与媒体技术学院）
The number of scientific publications continues to rise exponentially, especially in Computer Science (CS). However, current solutions to analyze those publications restrict access behind a paywall, offer no features for visual analysis, limit access to their data, only focus on niches or sub-fields, and/or are not flexible and modular enough to be transferred to other datasets. In this thesis, we conduct a scientometric analysis to uncover the implicit patterns hidden in CS metadata and to determine the state of CS research. Specifically, we investigate trends of the quantity, impact, and top…
CSIndexbr is a web-based system that provides meaningful,open,and transparent data about Brazilian scientific production in Computer Science. Currently, the system collects full research papers published in the main track of selected conferences. The papers are retrieved from DBLP. In this article, we describe the main features and resources provided by CSIndexbr. We also comment on how other researchers can use the data provided by the system to analyze the Brazilian production in Computer Science.
Computer science has experienced dramatic growth and diversification over the last twenty years. Towards a current understanding of the structure of this discipline, we analyze a cohort of the computer science literature using the DBLP database. For insight on the features of this cohort and the relationship within its components, we constructed article level clusters based on either direct citations or co-citations, and reconciled them to major and minor subject categories in the Scopus All Science Journal Classification (ASJC). We described complementary insights from clustering by direct ci…
University of Göttingen（哥廷根大学）；University of Wuppertal（伍珀塔尔大学）；National Research Council Canada（加拿大国家研究委员会）
This paper presents CS-Insights, an interactive web application to analyze computer science publications from DBLP through multiple perspectives. The dedicated interfaces allow its users to identify trends in research activity, productivity, accessibility, author's productivity, venues' statistics, topics of interest, and the impact of computer science research on other fields. CS-Insightsis publicly available, and its modular architecture can be easily adapted to domains other than computer science.
In this study, we use research publication data from the field of social science to identify collaboration networks among social science research communities of India and Pakistan. We have used Scopus database to extract information of social science journals for both countries India and Pakistan. Study of this data is significant as both countries have common social issues and many of common social values. Keywords analysis has been done to see common research areas in both communities like poverty, education, the issue of gender etc. Despite having many of the common social issues, collabora…
It may seem surprising that, out of all areas of science, computer scientists have been slow to post electronic versions of papers on sites like arXiv.org. Instead, computer scientists have tended to place papers on our individual home pages, but this loses the benefits of aggregation, namely notification and browsing. But this is changing. More and more computer scientists are now using the arXiv. At the same time, there is ongoing discussion and controversy about how prepublication affects peer review, especially for double-blind conferences. This discussion is often carried out with preciou…
In this study, I analyze the DBLP bibliographic database to study role of single author publications in the computer science literature between 1940 and 2019. I examine the demographics and reception by computing the population fraction, citation statistics, and PageRank scores of single author publications over the years. Both the population fraction and reception have been continuously declining since the 1940s. The overall decaying trend of single author publications is qualitatively consistent with those observed in other scientific disciplines, though the diminution is taking place severa…
Conference publications in computer science (CS) have attracted scholarly attention due to their unique status as a main research outlet unlike other science fields where journals are dominantly used for communicating research findings. One frequent research question has been how different conference and journal publications are, considering a paper as a unit of analysis. This study takes an author-based approach to analyze publishing patterns of 517,763 scholars who have ever published both in CS conferences and journals for the last 57 years, as recorded in DBLP. The analysis shows that the …
Beyond Journals: Rethinking Research Evaluation in Hungarian Computer Science
Budapest University of Technology and Economics（布达佩斯技术与经济大学）；University of Szeged（塞格德大学）；HUN-REN Institute for Computer Science and Control（匈牙利科学院计算机与控制研究所）
NIH-MPINet: A Large-Scale Feature-Rich Network Dataset for Mapping the Frontiers of Team Science
State University of New York at Buffalo（纽约州立大学布法罗分校）；Harvard T.H. Chan School of Public Health（哈佛陈曾熙公共卫生学院）；University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校）
Expert System（专家系统公司）；Istituto Nazionale di Geofisica e Vulcanologia（意大利国家地球物理与火山学研究所）
Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement, research objects contain and describe scientific information and resources in a way compliant with the FAIR principles and sustain the development of key infrastructure and tools. This paper provides an account of the challenges, experiences and solutions involved in the adoption of FAIR around research objects over several Earth Science disciplines. During this journey, our work has been comprehensive, with outcome…
