Citation Patterns in Chemistry Dissertations at a Mid-sized University: An Internal Citation Analysis and External Comparison

Nobody doubts the importance of the scientific performance’s evaluation. At the same time its way divides the group of experts. The present study mostly deals with the models of citation-analysis based evaluation. The aim of the authors is to present the background of the best known tool – Impact factor – since, according to the authors’ experience, to the many people use without knowing it well. In addition to the „nonofficial impact factor” and Euro-factor, the most promising index-number, h-index is presented. Finally new initiation – Index Copernicus Master List – is delineated, which is suitable to rank journals. Studying different indexes the authors make a proposal and complete the method of long standing for the evaluation of scientific performance.

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Document- and Keyword-based Author Co-citation Analysis

Data and Information Management ◽

10.2478/dim-2018-0009 ◽

2018 ◽

Vol 2 (2) ◽

pp. 70-82 ◽

Cited By ~ 2

Author(s):

Binglu Wang ◽

Yi Bu ◽

Win-bin Huang

Keyword(s):

Citation Analysis ◽

Semantic Similarity ◽

Method Validation ◽

New Method ◽

Global Network ◽

Network Visualization ◽

Knowledge Domain ◽

Knowledge Domains ◽

Domain Mapping ◽

The Relationship

AbstractIn the field of scientometrics, the principal purpose for author co-citation analysis (ACA) is to map knowledge domains by quantifying the relationship between co-cited author pairs. However, traditional ACA has been criticized since its input is insufficiently informative by simply counting authors’ co-citation frequencies. To address this issue, this paper introduces a new method that reconstructs the raw co-citation matrices by regarding document unit counts and keywords of references, named as Document- and Keyword-Based Author Co-Citation Analysis (DKACA). Based on the traditional ACA, DKACA counted co-citation pairs by document units instead of authors from the global network perspective. Moreover, by incorporating the information of keywords from cited papers, DKACA captured their semantic similarity between co-cited papers. In the method validation part, we implemented network visualization and MDS measurement to evaluate the effectiveness of DKACA. Results suggest that the proposed DKACA method not only reveals more insights that are previously unknown but also improves the performance and accuracy of knowledge domain mapping, representing a new basis for further studies.

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Citation Analysis ( Article ) Statistical Analysis of Stern Volmer equation Equation Applied on Biomolecules

10.31219/osf.io/74a8s ◽

2020 ◽

Author(s):

JAYDIP DATTA

Keyword(s):

Statistical Analysis ◽

Citation Analysis ◽

Google Scholar

CITATION : Citation Analysis ( Article ) Statistical Analysis of Stern Volmer equation Equation Applied on Biomolecules. ( Academia.edu , Google Scholar )

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Environmental Issues and Social Responsibility: A Scientomeric Analysis Using Citespace

11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES - Global Conference on Business and Social Sciences Proceeding ◽

10.35609/gcbssproceeding.2020.11(94) ◽

2020 ◽

Vol 11 (1) ◽

pp. 94-94

Author(s):

Zixuan Zeng ◽

Thammannoon Hengsadeekul

Keyword(s):

Economic Development ◽

Social Responsibility ◽

Citation Analysis ◽

Environmental Issues ◽

Research Paradigm ◽

Multiple Impacts ◽

Quantitative Review ◽

Future Directions ◽

Emerging Trends ◽

Strategic Perspective

Environmental issues and social responsibility have a significant impact on the natural ecological system and economic development. Hence, it is important to find a relative balance path between them. Previous studies have sought to explore environmental or social responsibility rather than seek solutions from a systematic perspective, and there seems to be a lack of a systematic, quantitative review of systematic solutions or details. To identify the multiple impacts and relationships between environmental issues and social responsibility and illustrate emerging trends and challenges, this article proposes a scientometrics review based on 1,336 articles published from 2001 to 2020, through co-occurrence analysis and co-citation analysis together with cluster and burstiness analysis to reveal the depth and breadth of emerging research. This research demonstrates the research paradigm of environmental issues and social responsibility extends from a single stakeholder level to a systematic strategic perspective of multiple organizations and stakeholders. The results provide researchers and practitioners with a deeper understanding of future directions and implications Keywords: Environmental issues; social responsibility; strategy; scientometrics; review

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Citation Analysis of MLIS Dissertations Submitted to Assam University, Silchar during 2012-2013

SSRN Electronic Journal ◽

10.2139/ssrn.2838400 ◽

2016 ◽

Author(s):

Manoj K. Sinha

Keyword(s):

Citation Analysis

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The theme trends and knowledge structure of H19 gene in cancer research: a scientometric analysis (Preprint)

10.2196/preprints.16722 ◽

2019 ◽

Author(s):

Zhigang Cui ◽

Zhihua Yin ◽

Lei Cui

Keyword(s):

Cancer Research ◽

Social Network ◽

Citation Analysis ◽

High Frequency ◽

Cancer Metastasis ◽

Intellectual Structure ◽

Scientometric Analysis ◽

Research Areas ◽

Pivotal Study ◽

Matrix Construction

BACKGROUND Background:H19 gene is maternally expressed imprinted oncofetal gene. This study aimed to explore distribution pattern and intellectual structure of H19 in cancer. OBJECTIVE Published scientific 826 papers related to H19 from Jan 1st, 2000 to March 22st, 2019 were obtained from the Web of Science core collection. METHODS We performed extraction of keywords and co-word matrix construction using BICOMB software. Then gCLUTO software, ucinet, excel software, Citespace, Vosviewer were successfully used for double -cluster analysis, social network analysis, Strategic coordinate analysis, co-citation analysis, and journal analysis. RESULTS We analyzed the distributions of included article of H19, identified 34 high-frequency keywords and classified them into 6 categories. Through co-word analysis and co-citation analysis for these categories, we identified the hotspot areas and intellectual basis about H19 in cancer research. Then the prospects of hotspots and their associations were accesssed by strategic coordinate diagrams and social network diagrams. CONCLUSIONS 6 research categories of 34 high-frequency keywords could represent the theme trends on H19 to some extent. Mir-675, cancer metastasis and risk, Wnt/β-catenin signaling pathway, SNP, and ceRNA network were core and mature research areas in this field. There is a lack of promising areas of H19 research. Matouk(2006) article play a key role in H19 research, and Murphy SK(2006)and Luo M(2013) articles serve knowledge transmission as pivotal study.

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Questions to the Article of research output and international cooperation among countries during the COVID-19 pandemic (Preprint)

10.2196/preprints.26576 ◽

2020 ◽

Author(s):

Shu-Chun Kuo ◽

Tsair-Wei Chien ◽

Willy Chou

Keyword(s):

Citation Analysis ◽

International Cooperation ◽

Web Of Science ◽

Research Output ◽

Visual Representations ◽

Scientometric Analysis ◽

Medical Subject Headings ◽

Pubmed Central ◽

The Us ◽

Circle Diagram

UNSTRUCTURED We read with great interest the study by Grammes et al. on research output and international cooperation among countries during the COVID-19 pandemic. The paper is a quantitative study using scientometric analysis instead of a qualitative research using citation analysis. A total of 7,185 publications were extracted from Web of Science Core Collection (WoS) with keywords of “covid19 OR covid-19 OR sarscov2 OR sars-cov-2” as of July 4, 2020. We replicated a citation analysis study to extract abstracts from Pubmed Central(PMC) with similar keywords mentioned above and obtained 35,421 articles relevant to COVID-10 matching their corresponding number of citation in PMC. one hundred top-cited atricles were selected and compared on diagrams. Social network analysis combined with citation numbers in articles was performed to analyze international cooperation among countries. The results were shown on a world map instead of the circle diagram in the previous study. A Sankey diagram was applied to highlight entities(e.g., countries, article types, medical subject headings, and journals) with the most citations. Authors from Chian dominated citations in these 100 top-cited articles rather than the US in publications addressed in the previous study. Both visual representations of the world map and Sankey diagram were provided to readers with a better understanding of the research output and international cooperation among countries during the COVID-19 pandemic

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