scholarly journals A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Adian Fatchur Rochim ◽  
Abdul Muis ◽  
Riri Fitri Sari
Keyword(s):  
Design Methodology ◽  
Discrimination Index ◽  
Additional Parameter ◽  
Discrimination Power ◽  
Index Method ◽  
H Index ◽  
Fairness Index ◽  
Index Value ◽  
Number Of Citations ◽  
Practical Implications

AbstractPurposeThis paper proposes a discrimination index method based on the Jain's fairness index to distinguish researchers with the same H-index.Design/methodology/approachA validity test is used to measure the correlation of D-offset with the parameters, i.e. H-index, the number of cited papers, the total number of citations, the number of indexed papers, and the number of uncited papers. The correlation test is based on the Saphiro-Wilk method and Pearson's product-moment correlation.FindingsThe result from the discrimination index calculation is a two-digit decimal value called the discrimination-offset (D-offset), with a range of D-offset from 0.00 to 0.99. The result of the correlation value between the D-offset and the number of uncited papers is 0.35, D-offset with the number of indexed papers is 0.24, and the number of cited papers is 0.27. The test provides the result that it is very unlikely that there exists no relationship between the parameters.Practical implicationsFor this reason, D-offset is proposed as an additional parameter for H-index to differentiate researchers with the same H-index. The H-index for researchers can be written with the format of “H-index: D-offset”.Originality/valueD-offset is worthy to be considered as a complement value to add the H-index value. If the D-offset is added in the H-index value, the H-index will have more discrimination power to differentiate the rank of the researchers who have the same H-index.

scholarly journals Improving Fairness of H-index: RA-index

2018 ◽  
Vol 38 (6) ◽  
pp. 378 ◽  
Author(s):  
Adian Fatchur Rochim ◽  
Abdul Muis ◽  
Riri Fitri Sari
Keyword(s):  
Measurement Methods ◽  
Title Page ◽  
The Other ◽  
Data Sets ◽  
Citation Data ◽  
H Index ◽  
Fairness Index ◽  
Other Hand ◽  
Lotka’S Law ◽  
Number Of Citations

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>H-index has been widely used as one of the bibliometric measurement methods for researchers’ performance. </span><span>On the other hand, H-index has been unfair for figuring authors that have high number of citations but fewer number </span><span>of papers (perfectionist researcher) and researchers that have many papers but fewer citations (productive researcher). The main objective of this article is to improve H-index for accommodating and calculating perfectionist and productive researchers’ impact based on Jain’s Fairness Index algorithm and Lotka’s Law. For improving H-index by RA-index is proposed. To prove the proposed a method, 1,710 citation data sets of top cited researchers from Scopus based on author names list from Webometrics site are used. Fairness index of the RA-index has the average of 91 per cent, which is higher than the fairness of H-Index 80 per cent has been found. </span></p></div></div></div>

scholarly journals Equalities between h-type Indices and Definitions of Rational h-type Indicators

2019 ◽  
Vol 4 (1) ◽  
pp. 22-31
Author(s):  
Leo Egghe ◽  
Yves Fassin ◽  
Ronald Rousseau
Keyword(s):  
Design Methodology ◽  
The Other ◽  
Basic Knowledge ◽  
Research Purpose ◽  
H Index ◽  
Other Hand ◽  
Research Questions ◽  
The One ◽  
Practical Implications

Abstract Purpose To show for which publication-citation arrays h-type indices are equal and to reconsider rational h-type indices. Results for these research questions fill some gaps in existing basic knowledge about h-type indices. Design/methodology/approach The results and introduction of new indicators are based on well-known definitions. Findings The research purpose has been reached: answers to the first questions are obtained and new indicators are defined. Research limitations h-type indices do not meet the Bouyssou-Marchant independence requirement. Practical implications On the one hand, more insight has been obtained for well-known indices such as the h- and the g-index and on the other hand, simple extensions of existing indicators have been added to the bibliometric toolbox. Relative rational h-type indices are more useful for individuals than the existing absolute ones. Originality/value Answers to basic questions such as “when are the values of two h-type indices equal” are provided. A new rational h-index is introduced.

Burying bad news?

2017 ◽  
Vol 33 (1) ◽  
pp. 13-15
Keyword(s):  
Design Methodology ◽  
Reading Time ◽  
Bad News ◽  
Theoretical Research ◽  
Research Articles ◽  
Important Research ◽  
Content Type ◽  
Pertinent Information ◽  
Number Of Citations ◽  
Practical Implications

Purpose This paper reviews the latest management developments across the globe and pinpoints practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings It is a cause of some bafflement, and not a little concern, to those management thinkers that do not inhabit academic circles, that the more abstract and overly theoretical research articles are, the more popular they seem to become within academia. The little known academic currency of article citations means little outside the ivory towers, and it often fails to bear up to scrutiny when it seems the least accessible, practical or important research receives the highest number of citations, and consequently the most prestige. Practical implications This paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

scholarly journals Reflections about Garfield’s algorithm

2019 ◽  
Vol 54 (4) ◽  
pp. 548-558
Author(s):  
Laura Sinay ◽  
Maria Cristina Fogliatti de Sinay ◽  
Rodney William (Bill) Carter ◽  
Aurea Martins
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Design Methodology ◽  
Scientific Discourse ◽  
Rapid Progress ◽  
Multiple Perspectives ◽  
H Index ◽  
Content Type ◽  
Different Cultures ◽  
Practical Implications

Purpose The purpose of this paper is to critically analyze the influence of the algorithm used on scholarly search engines (Garfield’s algorithm) and propose metrics to improve it so that science could be based on a more democratic way. Design/methodology/approach This paper used a snow-ball approach to collect data that allowed identifying the history and the logic behind the Garfield’s algorithm. It follows on excerpting the foundation of existing algorithm and databases of major scholarly search engine. It concluded proposing new metrics so as to surpass restraints and to democratize the scientific discourse. Findings This paper finds that the studied algorithm currently biases the scientific discourse toward a narrow perspective, while it should take into consideration several researchers’ characteristics. It proposes the substitution of the h-index by the number of times the scholar’s most cited work has been cited. Finally, it proposes that works in languages different than English should be included. Research limitations/implications The broad comprehension of any phenomena should be based on multiple perspectives; therefore, the inclusion of diverse metrics will extend the scientific discourse. Practical implications The improvement of the existing algorithm will increase the chances of contact among different cultures, which stimulate rapid progress on the development of knowledge. Originality/value The value of this paper resides in demonstrating that the algorithm used in scholarly search engines biases the development of science. If updated as proposed here, science will be unbiased and bias aware.

scholarly journals HOW TO EVALUATE SCIENTIFIC PRODUCTION

2015 ◽  
Vol 42 (suppl 1) ◽  
pp. 17-19
Author(s):  
Alberto Azoubel Antunes
Keyword(s):  
Impact Factor ◽  
Critical Analysis ◽  
Scientific Production ◽  
Index Method ◽  
H Index ◽  
Scientific Papers ◽  
Evaluation Of Teaching ◽  
Number Of Citations ◽  
The Impact ◽  
Over Time

Objective: To conduct a critical analysis of the two main bibliometric indexes used by science: the impact factor and the H index. Method: Research was conducted on PubMed using the keywords: impact factor, Bibliometrics and H index. Results: The citations of articles tend to follow a curve in which the articles published in a given year increase sharply to a peak occurring between two and six years after its publication. From this peak citations decline over time. Conclusion: The analysis of the scientific merit should not be based on only in bibliometric measure, but in the association of various parameters. The impact factor and the H index is mainly based on the number of citations of scientific papers, and this parameter, although important, should not be used alone, nor overvalued in the evaluation of teaching merit.

scholarly journals ELDERLY PATIENT SAFETY IN INTENSIVE CARE UNIT: BIBLIOMETRIC ANALYSIS OF INTERNATIONAL PRODUCTION

2020 ◽  
Vol 5 ◽  
Author(s):  
Gabriela Martins Santos ◽  
Samuel Ricardo Batista Moura ◽  
Aluísio Paredes Moreira Júnior ◽  
Davi Costa Feitosa Alves ◽  
Luana Kelle Batista Moura ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Elderly Patient ◽  
Patient Safety ◽  
Intensive Care ◽  
Bibliometric Analysis ◽  
H Index ◽  
International Production ◽  
Search Terms ◽  
Index Value ◽  
Number Of Citations

Objective: to analyze the international scientific production on elderly patient safety in Intensive Care Unit. Method: bibliometric study carried out on ISI Web of Knowledge / Web of ScienceTM database, with the search terms: “Patient Safety”, “Elderly”, “Intensive Care Units”, performed from exporting these data for the bibliometric analysis software HistCiteTM. Results: 103 publication records were identified, in 85 different journals, written by 679 authors that are associated with 224 institutions, located in 30 countries. In analysis of number of citations count, the h-index value is equal to 24. Conclusion: the theme is presented in a broad and diverse way, without demonstrating the existence of a good articulation among the studies, authors and institutions around the world. There is a need to construct knowledge networks in the field that make possible further studies able to contribute to improve elderly patient safety in intensive care.

scholarly journals Sentiment Analysis on Citations in Research Paper

2020 ◽  
pp. 389-392
Keyword(s):  
Sentiment Analysis ◽  
Naive Bayes ◽  
Scientific Paper ◽  
Research Paper ◽  
Naïve Bayes ◽  
Ranking Algorithm ◽  
H Index ◽  
Scientific Papers ◽  
Index Value ◽  
Number Of Citations

Scientific papers are the papers including citations. Generally scientific papers include references at the end of the paper. Authors of these papers may include related work in their paper. The related work may or may not help the author. We apply sentiment analysis on the related work in a scientific paper and find out whether the references are helpful or not for the author. In this paper, we apply data pre-processing on the related work and find out the polarity for each mentioned reference using Naive-Bayes theorem. We also apply h-index ranking algorithm on the citations of references. Finally, we find out the overall polarity of the references. Three parameters are used to calculate the result. They are related work mentioned in the research paper, number of citations for each reference in the research paper and h-index value for each author in the references of the research paper respectively. First parameter is used to calculate naïve bayes and the rest two are used to calculate h-index. The expected result is to find the polarity of each reference cited by the author.

scholarly journals Generalisability of advertising persuasion principles

2016 ◽  
Vol 50 (1/2) ◽  
pp. 301-305 ◽  
Author(s):  
Byron Sharp ◽  
Nicole Hartnett
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Predictive Accuracy ◽  
Cost Effective ◽  
Testing Procedure ◽  
Index Method ◽  
Content Type ◽  
Sales Effectiveness ◽  
Practical Implications ◽  
The Ideal

Purpose – This paper aims to reflect on the generalisability of the predictive validity test of the Persuasion Principles Index (PPI) conducted by Armstrong et al. (2016). Design/methodology/approach – Different aspects of the test are considered, such as the sample of ads, the dependent variable and the comparability of the methods used to predict effectiveness, in terms of how relevant these are to real-world advertising testing. Findings – The sample of ads and the testing procedure may have contributed to the success of the PPI predictions over the other copy-testing methods. The sample of print ads does not bear a close resemblance to current advertising. The competing copy tests do not represent modern advertising copy testing. Research/limitations/implications – More research is needed to test the validity of the principles and the predictive accuracy of the PPI across a range of conditions (e.g. different ads, media, products and cultures). Testing against advertising sales effectiveness would be the ideal next step. Practical/implications – It certainly seems the index method has the potential to help advertisers make better decisions regarding what executions to support, for high-involvement products at least. Given the accessibility of the software, it should be easy and cost effective for advertisers to trial the PPI. Originality/value – This commentary directs researchers to the real-world conditions under which advertising pre-tests need to be evaluated.

scholarly journals The Compound F2-index and the Compound H-index as Extension of the f2 and h-indexes from a Dynamic Perspective

2020 ◽  
Vol 5 (3) ◽  
pp. 71-83 ◽  
Author(s):  
Yves Fassin
Keyword(s):  
Design Methodology ◽  
Activity Ratio ◽  
Activity Index ◽  
Research Work ◽  
Dynamic Aspect ◽  
H Index ◽  
Dynamic Perspective ◽  
Probably Approximately Correct ◽  
New Research ◽  
Practical Implications

AbstractPurposeElaboration of an indicator to include the dynamic aspect of citations in bibliometric indexes.Design/methodology/approachA new bibliometric methodology—the f2-index—is applied at the career level and at the level of the recent 5 years to analyze the dynamic aspect of bibliometrics. The method is applied, as an illustration, to the field of corporate governance.FindingsThe compound F2-index as an extension of the f2-index recognizes past achievements but also values new research work with potential. The method is extended to the h-index and the h2-index. An activity index is defined as the ratio between the recent h’-index to the career h-index.Research limitationsThe compound F2 and H-indexes are PAC, probably approximately correct, and depend on the selection and database.Practical implicationsThe F2- and H compound indexes allow identifying the rising stars of a field from a dynamic perspective. The activity ratio highlights the contribution of younger researchers.Originality/valueThe new methodology demonstrates the underestimated dynamic capacity of bibliometric research.

scholarly journals A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

2019 ◽  
Vol 4 (4) ◽  
pp. 13-25
Author(s):  
Jane H. Qin ◽  
Jean J. Wang ◽  
Fred Y. Ye
Keyword(s):  
Information Visualization ◽  
Design Methodology ◽  
Induced Pluripotent Stem Cell ◽  
H Index ◽  
Main Research ◽  
The Core ◽  
Metric Analysis ◽  
Set Up ◽  
Induced Pluripotent ◽  
Practical Implications

Abstract Purpose To reveal the research hotpots and relationship among three research hot topics in biomedicine, namely CRISPR, i PS (induced Pluripotent Stem) cell and Synthetic biology. Design/methodology/approach We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis. Findings The results reveal the main research hotspots in the three topics are different, but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other. Research limitations All analyses use keywords, without any other forms. Practical implications We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions, and for promoting biomedical developments. Originality/value We chose the core keywords in three research hot topics in biomedicine by using h-index.

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