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Title: Analyzing Citation-Distance Networks for Evaluating Publication Impact

Abstract

Studying citation patterns of scholarly articles has been of interest to many researchers from various disciplines. While the relationship of citations and scientific impact has been widely studied in the literature, in this paper we develop the idea of analyzing the semantic distance of scholarly articles in a citation network (citation-distance network) to uncover patterns that reflect scientific impact. More specifically, we compare two types of publications in terms of their citation-distance patterns, seminal publications and literature reviews, and focus on their referencing patterns as well as on publications which cite them. We show that seminal publications are associated with a larger semantic distance, measured using the content of the articles, between their references and the citing publications, while literature reviews tend to cite publications from a wider range of topics. Our motivation is to understand and utilize this information to create new research evaluation metrics which would better reflect scientific impact.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [1]
  1. ORNL
  2. Open University, Milton Keynes, UK
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1437903
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Language Resources and Evaluation Conference (LREC 2018) - Miyazaki, , Japan - 5/7/2018 12:00:00 PM-5/12/2018 12:00:00 PM
Country of Publication:
United States
Language:
English

Citation Formats

Herrmannova, Drahomira, Knoth, Petr, and Patton, Robert M. Analyzing Citation-Distance Networks for Evaluating Publication Impact. United States: N. p., 2018. Web.
Herrmannova, Drahomira, Knoth, Petr, & Patton, Robert M. Analyzing Citation-Distance Networks for Evaluating Publication Impact. United States.
Herrmannova, Drahomira, Knoth, Petr, and Patton, Robert M. Tue . "Analyzing Citation-Distance Networks for Evaluating Publication Impact". United States. https://www.osti.gov/servlets/purl/1437903.
@article{osti_1437903,
title = {Analyzing Citation-Distance Networks for Evaluating Publication Impact},
author = {Herrmannova, Drahomira and Knoth, Petr and Patton, Robert M.},
abstractNote = {Studying citation patterns of scholarly articles has been of interest to many researchers from various disciplines. While the relationship of citations and scientific impact has been widely studied in the literature, in this paper we develop the idea of analyzing the semantic distance of scholarly articles in a citation network (citation-distance network) to uncover patterns that reflect scientific impact. More specifically, we compare two types of publications in terms of their citation-distance patterns, seminal publications and literature reviews, and focus on their referencing patterns as well as on publications which cite them. We show that seminal publications are associated with a larger semantic distance, measured using the content of the articles, between their references and the citing publications, while literature reviews tend to cite publications from a wider range of topics. Our motivation is to understand and utilize this information to create new research evaluation metrics which would better reflect scientific impact.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

Conference:
Other availability
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