Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library

Texas Tech University is a part of the Texas State University System which opened its doors in 1925. The current enrollment is about 24,000 dispersed among six colleges. The Mathematics Department is one of thirteen in the College of Arts and Sciences with a Ph.D. program. One of those programs is i...

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Main Author: Johnson, Bill
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/152352
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1523522021-08-11T20:10:28Z Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library Johnson, Bill Library and information science Texas Tech University is a part of the Texas State University System which opened its doors in 1925. The current enrollment is about 24,000 dispersed among six colleges. The Mathematics Department is one of thirteen in the College of Arts and Sciences with a Ph.D. program. One of those programs is in statistics. Seven faculty members were identified from that program. Their contribution to published research for 1993 and the first half of 1994 was collected and a citation analysis was conducted and subsequently applied to the collection development process at the University Library, where distinct discipline based collection development policies are now being formulated. Two citation patterns were identified: bibliographic and non-bibliographic citations. Bibliographic citations (from the bibliography) numbered 394 from 122 titles. Journals and monographs were the two formats most frequently cited, 46.7% and 36.9%, respectively. The average age of a citation was 12.3 years. The two most frequently cited journal titles were: Journal of Time Series Analysis and Stochastic Processes and Their Applications. Non-bibliographic citations (not found in the bibliography) were used to identify the more important research topics to this population of faculty: Hermitian operators, Appel polynomials, Laplace transform, Euclidean space, Drichlet polynomials, Lebesgue measure, Hilbert space, and Taylor expansion. Since the conclusion of this study, the most frequently cited journals and monographs have been acquired or recommended for acquisition in conjunction with the Library's collection development policy for Mathematics. Published version 2021-08-05T08:05:52Z 2021-08-05T08:05:52Z 1996 Journal Article Johnson, B. (1996). Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library. Library and Information Science Research E-Journal, 6(3), 1-19. https://dx.doi.org/10.32655/LIBRES.1996.3.1 1058-6768 https://hdl.handle.net/10356/152352 10.32655/LIBRES.1996.3.1 3 6 1 19 en Library and Information Science Research E-Journal © 1996 Johnson. All rights reserved. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Library and information science
spellingShingle Library and information science
Johnson, Bill
Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library
description Texas Tech University is a part of the Texas State University System which opened its doors in 1925. The current enrollment is about 24,000 dispersed among six colleges. The Mathematics Department is one of thirteen in the College of Arts and Sciences with a Ph.D. program. One of those programs is in statistics. Seven faculty members were identified from that program. Their contribution to published research for 1993 and the first half of 1994 was collected and a citation analysis was conducted and subsequently applied to the collection development process at the University Library, where distinct discipline based collection development policies are now being formulated. Two citation patterns were identified: bibliographic and non-bibliographic citations. Bibliographic citations (from the bibliography) numbered 394 from 122 titles. Journals and monographs were the two formats most frequently cited, 46.7% and 36.9%, respectively. The average age of a citation was 12.3 years. The two most frequently cited journal titles were: Journal of Time Series Analysis and Stochastic Processes and Their Applications. Non-bibliographic citations (not found in the bibliography) were used to identify the more important research topics to this population of faculty: Hermitian operators, Appel polynomials, Laplace transform, Euclidean space, Drichlet polynomials, Lebesgue measure, Hilbert space, and Taylor expansion. Since the conclusion of this study, the most frequently cited journals and monographs have been acquired or recommended for acquisition in conjunction with the Library's collection development policy for Mathematics.
format Article
author Johnson, Bill
author_facet Johnson, Bill
author_sort Johnson, Bill
title Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library
title_short Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library
title_full Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library
title_fullStr Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library
title_full_unstemmed Citation analysis of the Texas Tech University’s statistics faculty : a study applied to collection development at the University Library
title_sort citation analysis of the texas tech university’s statistics faculty : a study applied to collection development at the university library
publishDate 2021
url https://hdl.handle.net/10356/152352
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