activity
20052020
most citedTransitive Text Mining for Information Extraction and Hypothesis Generation

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DL2020

MeSH descriptors indicate the knowledge growth in the SARS-CoV-2/COVID-19 pandemic

Johannes Stegmann

The scientific papers dealing with the novel betacoronavirus SARS-CoV-2 and the coronavirus disease 2019 (COVID-19) caused by this virus, published in 2020 and recorded in the data…

cs.DL2016

Research performance of UNU - A bibliometric analysis of the United Nations University

Johannes Stegmann

The scientific paper output of the United Nations University (UNU) was bibliometrically analysed. It was found that (i) a noticeable continous paper output starts in 1995, (ii) abo…

cs.DL2014

Paradigm shifts. Part II. Reverse Transcriptase. Analysis of reference stability and word frequencies

Johannes Stegmann

The reverse transcription paradigm shift in RNA tumor virus research marked by the discovery of the reverse transcriptase in 1970 was traced using co-citation and title word freque…

cs.DL2014

Paradigm shifts. Part I. Collagen. Confirming and complementing the work of Henry Small

Johannes Stegmann

The paradigm shift in collagen research during the early 1970s marked by the discovery of the collagen precursor molecule procollagen was traced using co-citation analysis and titl…

cs.DL2014★ 2 cited

Research at UNIS - The University Centre in Svalbard. A bibliometric study

Johannes Stegmann

The scientific output 1994-2014 of the University Centre in Svalbard (UNIS) was bibliometrically analysed. It was found that the majority of the papers have been published as inter…

cs.IR2005★ 4 cited

Transitive Text Mining for Information Extraction and Hypothesis Generation

Johannes Stegmann, Guenter Grohmann

Transitive text mining - also named Swanson Linking (SL) after its primary and principal researcher - tries to establish meaningful links between literature sets which are virtuall…