scholarly journals How Efficiently Do Elite US Universities Produce Highly Cited Papers?

Publications ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 4 ◽  
Author(s):  
Klaus Wohlrabe ◽  
Félix de Moya Anegon ◽  
Lutz Bornmann
Keyword(s):  
Research Evaluation ◽  
Research Output ◽  
Harvard University ◽  
Institutional Research ◽  
Free Disposal Hull ◽  
Highly Cited Papers ◽  
Boston College ◽  
Free Disposal ◽  
Data Efficiency ◽  
Highly Cited

While output and impact assessments were initially at the forefront of institutional research evaluations, efficiency measurements have become popular in recent years. Research efficiency is measured by indicators that relate research output to input. The additional consideration of research input in research evaluation is obvious, since the output depends on the input. The present study is based on a comprehensive dataset with input and output data for 50 US universities. As input, we used research expenses, and as output the number of highly-cited papers. We employed Data Efficiency Analysis (DEA), Free Disposal Hull (FDH) and two more robust models: the order-m and order-α approaches. The results of the DEA and FDH analysis show that Harvard University and Boston College can be called especially efficient compared to the other universities. While the strength of Harvard University lies in its high output of highly-cited papers, the strength of Boston College is its small input. In the order-α and order-m frameworks, Harvard University remains efficient, but Boston College becomes super-efficient. We produced university rankings based on adjusted efficiency scores (subsequent to regression analyses), in which single covariates (e.g., the disciplinary profile) are held constant.

scholarly journals Informetric Analysis of Highly Cited Papers in Environmental Sciences Based on Essential Science Indicators

2020 ◽  
Vol 17 (11) ◽  
pp. 3781 ◽  
Author(s):  
Qian Ma ◽  
Yandan Li ◽  
Yan Zhang
Keyword(s):  
Environmental Science ◽  
Research Output ◽  
Collaboration Network ◽  
Cumulative Number ◽  
Environmental Sciences ◽  
Highly Cited Papers ◽  
Essential Science Indicators ◽  
Number Of Publications ◽  
Research Hotspots ◽  
Highly Cited

Highly cited papers in the Essential Science Indicators database refer to papers with citations in the top 1% of all papers in a research field, and they are considered to be symbols of scientific excellence and top performance of the past ten years. This study provided an informetric analysis of 7791 highly cited papers in the environmental sciences category during 2009–2019. Informetric indicators and visualization tools were applied to evaluate and present the performances of journals, countries/territories, institutions, top cited papers, and research hotspots. The results showed that the cumulative number of publications has increased exponentially, suggesting strong development of the environmental sciences category. There were 211 journals publishing highly cited papers, with Energy & Environmental Science as the leading journal. The USA ranked first with the highest number of publications and occupied the core position in the collaboration network, while Mainland China took the first place in independent research output. Review articles have an obvious advantage in terms of achieving high citations. “Adsorption”, “climate change”, and “heavy metal” were the most frequent keywords, with “microplastic” rising rapidly as a new research frontier in recent years. Five research hotspots were visualized from highly cited papers via cluster analysis.

scholarly journals How Does the Market Use Citation Data? The Hirsch Index in Economics

2013 ◽  
Vol 5 (3) ◽  
pp. 63-90 ◽  
Author(s):  
Glenn Ellison
Keyword(s):  
Labor Market ◽  
Research Output ◽  
Labor Market Outcomes ◽  
Years Of Experience ◽  
Hirsch Index ◽  
Citation Data ◽  
Market Outcomes ◽  
Highly Cited Papers ◽  
Original Index ◽  
Highly Cited

A large literature following Hirsch (2005) has proposed citation-based indexes of individuals' research output. This paper views Hirsch's index as one member of a larger class and examines how well different indexes align with labor market outcomes for young, tenured economists at 50 US departments. Variants that emphasize smaller numbers of highly-cited papers are more aligned with labor market outcomes than is Hirsch's original index. It also examines how the market assesses jointly authored work, and how indexes can be adjusted for differences in citations across fields and years of experience. (JEL A14, C43)

scholarly journals Mapping of India’s Contribution on “Down Syndrome” during 40 Years from 1973-2012

2015 ◽  
Vol 34 ◽  
pp. 21-33 ◽  
Author(s):  
Anil Kumar Siwach
Keyword(s):  
Down Syndrome ◽  
Mental Retardation ◽  
Congenital Malformation ◽  
Genetic Disease ◽  
Research Output ◽  
Citation Impact ◽  
Highly Cited Papers ◽  
Number Of Citations ◽  
Highly Cited

Down syndrome, a genetic disease, is commonly diagnosed congenital malformation/mental retardation syndrome occurring in people of all races and economic levels. The present study is aimed to examine the contribution of Indian scientists on Down syndrome during the 40 years span from 1973-2012. The study analyses the Indian share in the research output, contribution and citation impact of top Indian institutions, most prolific Indian authors, top journals for publication, top collaborating countries, number of citations received and the highly cited papers in the Indian research on Down syndrome.

scholarly journals Energy Storage Ceramics: A Bibliometric Review of Literature

Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3605
Author(s):  
Haiyan Hu ◽  
Aiping Liu ◽  
Yuehua Wan ◽  
Yuan Jing
Keyword(s):  
Energy Storage ◽  
Materials Science ◽  
Research Field ◽  
Highly Cited Papers ◽  
Research Areas ◽  
Productive Author ◽  
The Usa ◽  
Bibliometric Review ◽  
Leading Position ◽  
Highly Cited

Energy storage ceramics is among the most discussed topics in the field of energy research. A bibliometric analysis was carried out to evaluate energy storage ceramic publications between 2000 and 2020, based on the Web of Science (WOS) databases. This paper presents a detailed overview of energy storage ceramics research from aspects of document types, paper citations, h-indices, publish time, publications, institutions, countries/regions, research areas, highly cited papers, and keywords. A total of 3177 publications were identified after retrieval in WOS. The results show that China takes the leading position in this research field, followed by the USA and India. Xi An Jiao Tong Univ has the most publications, with the highest h-index. J.W. Zhai is the most productive author in energy storage ceramics research. Ceramics International, Journal of Materials Science-Materials in Electronics, and the Journal of Alloys and Compounds are the most productive journals in this field, and materials science—multidisciplinary is the most frequently used subject category. Keywords, highly cited papers, and the analysis of popular papers indicate that, in recent years, lead-free ceramics are prevalent, and researchers focus on fields such as the microstructure, thin films, and phase transition of ceramics.

scholarly journals Bibliometric Analysis based on Highly Cited Papers in Computer Science

2021 ◽  
Vol 1883 (1) ◽  
pp. 012053
Author(s):  
Fangyu Jiao ◽  
Ji Fang ◽  
Yutong Ci ◽  
Wenyan Tu
Keyword(s):  
Computer Science ◽  
Bibliometric Analysis ◽  
Highly Cited Papers ◽  
Highly Cited

scholarly journals Order Picking and E-Commerce: Introducing Non-Parametric Efficiency Measurement for Sustainable Retail Logistics

2021 ◽  
Vol 16 (4) ◽  
pp. 846-858
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Goodness Of Fit ◽  
New Technologies ◽  
Order Picking ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Efficiency Assessment ◽  
Parametric Data ◽  
Proposed Model ◽  
Dea Models ◽  
Non Parametric

Order picking is a crucial but labor- and cost-intensive activity in the retail logistics and e-commerce domain. Comprehensive changes are implemented in this field due to new technologies like AI and automation. Nevertheless, human worker’s activities will be required for quite some time in the future. This fosters the necessity of evaluating manual picker-to-part operations. We apply the non-parametric Data Envelopment Analysis (DEA) to evaluate the efficiency of n = 23 order pickers processing 6109 batches with 865,410 stock keeping units (SKUs). We use distance per location, picks per location, as well as volume per SKU as inputs and picks per hour as output. As the convexity axiom of standard DEA models cannot be fully satisfied when using ratio measures with different denominators, we apply the Free Disposal Hull (FDH) approach that does not assume convexity. Validating the efficiency scores with the company’s efficiency assessment, operationalized by premium payments shows a 93% goodness=of-fit for the proposed model. The formulated non-parametric approach and its empirical application are promising ways forward in implementing empirical efficiency measurements for order picking operations within e-commerce operations.

Bibliometric Study on the Highly Cited Papers and Correlation Between Citation Frequency and Download Frequency in Chinese Medicine Journals

2021 ◽  
pp. 2153004
Author(s):  
Qinghui Qu ◽  
Xinyang Zhang
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Academic Quality ◽  
Academic Journal ◽  
Research Papers ◽  
Highly Cited Papers ◽  
Natural Medicine ◽  
Citation Frequency ◽  
Highly Cited

The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li’s paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals.

Towards complexity-sensitive book metrics for scholarly monographs in national databases for research output

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Linda Sīle ◽  
Raf Guns ◽  
Alesia A. Zuccala ◽  
Tim C.E. Engels
Keyword(s):  
Information Science ◽  
Research Evaluation ◽  
Research Output ◽  
Content Type ◽  
Social Sciences And Humanities ◽  
Work Related ◽  
Bibliographic Records ◽  
Bibliographic Data ◽  
The One ◽  
National Databases

PurposeThis study investigates an approach to book metrics for research evaluation that takes into account the complexity of scholarly monographs. This approach is based on work sets – unique scholarly works and their within-work related bibliographic entities – for scholarly monographs in national databases for research output.Design/methodology/approachThis study examines bibliographic records on scholarly monographs acquired from four European databases (VABB in Flanders, Belgium; CROSBI in Croatia; CRISTIN in Norway; COBISS in Slovenia). Following a data enrichment process using metadata from OCLC WorldCat and Amazon Goodreads, the authors identify work sets and the corresponding ISBNs. Next, on the basis of the number of ISBNs per work set and the presence in WorldCat, they design a typology of scholarly monographs: Globally visible single-expression works, Globally visible multi-expression works, Miscellaneous and Globally invisible works.FindingsThe findings show that the concept “work set” and the proposed typology can aid the identification of influential scholarly monographs in the social sciences and humanities (i.e. the Globally visible multi-expression works).Practical implicationsIn light of the findings, the authors outline requirements for the bibliographic control of scholarly monographs in national databases for research output that facilitate the use of the approach proposed here.Originality/valueThe authors use insights from library and information science (LIS) to construct complexity-sensitive book metrics. In doing so, the authors, on the one hand, propose a solution to a problem in research evaluation and, on the other hand, bring to attention the need for a dialogue between LIS and neighbouring communities that work with bibliographic data.

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