Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined

In this study, I developed operational versions of Gini’s and Hirsch’s indexes that can be applied to characterize each researcher’s publication history (PH) as heterodox, orthodox, and interdisciplinary. In addition, the new indicators warn against anomalies that poten...

Full description

Bibliographic Details
Main Author: Fabio Zagonari
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Publications
Subjects:
Online Access:https://www.mdpi.com/2304-6775/7/2/32
id doaj-4f85f9db07d54098b12a74ae566dfd71
record_format Article
spelling doaj-4f85f9db07d54098b12a74ae566dfd712020-11-24T22:05:44ZengMDPI AGPublications2304-67752019-05-01723210.3390/publications7020032publications7020032Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes CombinedFabio Zagonari0Dipartimento di Scienze Economiche, Università di Bologna, via Angherà 22, 47921 Rimini, ItalyIn this study, I developed operational versions of Gini&#8217;s and Hirsch&#8217;s indexes that can be applied to characterize each researcher&#8217;s publication history (PH) as heterodox, orthodox, and interdisciplinary. In addition, the new indicators warn against anomalies that potentially arise from tactical or opportunistic citation and publication behaviors by authors and editors, and can be calculated from readily available information. I split the original Hirsch index into nested indexes to isolate networking activity, as well as to distinguish scientific production (number of articles) from scientific productivity (rate of production), and used nested Gini indexes to identify intentional and successful intertopical and interdisciplinary research. I applied the most popular standardizations (i.e., per author and per year), and used simple methodologies (i.e., least-squares linear and cubic fitting, whole-career vs. subperiods, two-dimensional graphs). I provide three representative numerical examples based on an orthodox multidisciplinary PH, a heterodox PH from the social sciences, and an orthodox unidisciplinary PH from the physical sciences. Two additional numerical examples based on PHs from the life and health sciences show that the suggested PH characterization can be applied to different disciplines where different publication and citation practices prevail. Software is provided to help readers explore the use of these indicators.https://www.mdpi.com/2304-6775/7/2/32bibliometric rankingscientific productivityscientific production<i>H</i> indexinterdisciplinary researchheterodox research
collection DOAJ
language English
format Article
sources DOAJ
author Fabio Zagonari
spellingShingle Fabio Zagonari
Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined
Publications
bibliometric ranking
scientific productivity
scientific production
<i>H</i> index
interdisciplinary research
heterodox research
author_facet Fabio Zagonari
author_sort Fabio Zagonari
title Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined
title_short Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined
title_full Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined
title_fullStr Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined
title_full_unstemmed Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined
title_sort scientific production and productivity for characterizing an author’s publication history: simple and nested gini’s and hirsch’s indexes combined
publisher MDPI AG
series Publications
issn 2304-6775
publishDate 2019-05-01
description In this study, I developed operational versions of Gini&#8217;s and Hirsch&#8217;s indexes that can be applied to characterize each researcher&#8217;s publication history (PH) as heterodox, orthodox, and interdisciplinary. In addition, the new indicators warn against anomalies that potentially arise from tactical or opportunistic citation and publication behaviors by authors and editors, and can be calculated from readily available information. I split the original Hirsch index into nested indexes to isolate networking activity, as well as to distinguish scientific production (number of articles) from scientific productivity (rate of production), and used nested Gini indexes to identify intentional and successful intertopical and interdisciplinary research. I applied the most popular standardizations (i.e., per author and per year), and used simple methodologies (i.e., least-squares linear and cubic fitting, whole-career vs. subperiods, two-dimensional graphs). I provide three representative numerical examples based on an orthodox multidisciplinary PH, a heterodox PH from the social sciences, and an orthodox unidisciplinary PH from the physical sciences. Two additional numerical examples based on PHs from the life and health sciences show that the suggested PH characterization can be applied to different disciplines where different publication and citation practices prevail. Software is provided to help readers explore the use of these indicators.
topic bibliometric ranking
scientific productivity
scientific production
<i>H</i> index
interdisciplinary research
heterodox research
url https://www.mdpi.com/2304-6775/7/2/32
work_keys_str_mv AT fabiozagonari scientificproductionandproductivityforcharacterizinganauthorspublicationhistorysimpleandnestedginisandhirschsindexescombined
_version_ 1725824963676471296