Investigating the genealogy of the literature on digital pathology: a two-dimensional bibliometric approach

Dayu Hu, Chengyuan Wang, Song Zheng () and Xiaoyu Cui ()
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Dayu Hu: Northeastern University
Chengyuan Wang: The First Affiliated Hospital of China Medical University
Song Zheng: The First Hospital of China Medical University
Xiaoyu Cui: Northeastern University

Scientometrics, 2022, vol. 127, issue 2, No 6, 785-801

Abstract: Abstract The purpose of our study is to investigate the genealogy of the literature on digital pathology (DP) by evaluating the “upstream” (source papers in the field), “midstream” (outstanding papers in the field), and “downstream” (latest papers in the field) of the research field. All analyses are carried out on a complete database, on which we performed cocitation analysis, bibliographic coupling and double-cluster analysis. Our research reveals the integral knowledge structure of DP, which will help researchers understand the trend of DP, accounting for academic prospects regarding the application of DP in clinic. In addition, as a methodological contribution, we propose a two-dimensional bibliometric approach.

Keywords: Digital pathology; Bibliometric analysis; Intellectual structure; Double-cluster analysis; Research hotspots (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11192-021-04224-2

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