Identifying 'seed' papers in sciences

Jean J. Wang, Sarah X. Shao and Fred Y. Ye ()
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Jean J. Wang: Nanjing University
Sarah X. Shao: Nanjing University
Fred Y. Ye: Nanjing University

Scientometrics, 2021, vol. 126, issue 7, No 25, 6011 pages

Abstract: Abstract A concise quantitative method is established for identifying ‘seed’ papers in sciences. The method is set up following h-type metrics based on co-citation network analysis. With defining original-seed (O-Seed) and dominant-seed (D-Seed) by measurable h-strength and second-order h-type degree centrality, O-seed resembles to be a ‘root’ and D-seed develops to become ‘stem’. Using dataset from Web of Science (WoS), the ‘seed’ papers in research fields of graphene, genome editing, and h-set studies are identified. Graphene D-Seed paper and genome editing D-Seed paper are representative outputs of the 2010 Nobel Prize in Physics and the 2020 Nobel Prize in Chemistry respectively. H-set O-Seed and D-Seed are the same paper that first proposed the concept of h-index. The ‘seed’ papers are characterized by not only high citations, but also network structure and core function in sciences.

Keywords: Seed; Original-seed; Dominant-seed; Stem; Co-citation network (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (28)

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DOI: 10.1007/s11192-021-03980-5

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